31. Agent and Module Development Inventory¶

31.1 Purpose¶

This document consolidates the agents, deterministic services, runtime modules, data stores, adapters, user interfaces, security boundaries, and distributed infrastructure required across the GeniusCognitiveSystem architecture.

The goal is to translate the architecture documents into an implementation inventory that can be decomposed into:

workstreams
milestones
repositories or packages
service interfaces
schemas
tests
deployment targets
operational ownership
security reviews
evaluation programs

This inventory covers the complete GCS cognitive path:

Client / Local Application / External API
    ↓
Ingress, Identity, Session, and Policy
    ↓
Executive Controller, Router, Planner, and Forecasting
    ↓
GAML Retrieval and Context Assembly
    ↓
Semantic Core, ELMs, Objective Memory, and Capability Selection
    ↓
Secure Tool Intermediation and Distributed Execution
    ↓
Grounding, Verification, Arbitration, Consensus, and Synthesis
    ↓
Response, Attestations, Memory Writeback, and Learning Signals

This document is an implementation inventory, not a requirement that every component be deployed as a separate process.

A component may initially be implemented as:

a deterministic library
an in-process service
a model-assisted function
a local daemon
a private node service
a distributed GNUS service
a constrained WASM module
a role-based ELM
a domain-specific ELM
a user-facing application

The architecture should prefer the smallest implementation that satisfies the required behavior, trust boundary, performance target, and deployment model.

31.2 Inventory Conventions¶

31.2.1 Component Classes¶

GCS components fall into six primary implementation classes.

Class	Description
Agent	A model-assisted or adaptive component that interprets context, makes bounded judgments, proposes actions, or produces structured cognitive output.
Deterministic Service	A component whose decisions should be reproducible from explicit inputs, schemas, policies, and state.
Runtime Module	A compute, inference, storage, networking, cryptographic, indexing, or execution module used by services and agents.
Connector Adapter	A protocol or provider-specific adapter that exposes external or local operations as canonical GCS capabilities.
Data Service	A structured store, graph, index, artifact registry, queue, event log, or replicated state service.
Control Surface	A user, administrator, developer, reviewer, or operator interface.

An agent should not be used where deterministic code can safely and reliably perform the same function.

Model-assisted components may propose:

classifications
schemas
mappings
plans
relationships
risk labels
memory candidates
tool calls
corrections

Deterministic services remain authoritative for:

authorization
capability enforcement
privacy boundaries
cryptographic verification
schema validation
sandbox policy
side-effect approval
execution attestation
retention and deletion
billing and settlement

31.2.2 Required Definition for Each Component¶

Each production component should eventually declare:

component identity
component version
component class
responsibilities
inputs
outputs
dependencies
required capabilities
prohibited capabilities
privacy boundary
trust tier
persistence requirements
failure behavior
observability events
performance targets
test requirements
deployment profiles
upgrade and rollback behavior

31.2.3 Trust Tiers¶

Suggested component trust tiers are:

Tier	Components
Tier A	Tool Intermediary, identity, authorization, key management, higher-trust memory services, settlement, attestation services
Tier B	Executive Controller, Router, Planner, Memory Governor, Verifier, Arbiter, Grounding, Capability Governance
Tier C	Semantic Core, role-based ELMs, domain-specific ELMs, extraction agents, forecasting agents
Tier D	Opportunistic public workers, unverified connectors, community MCP servers, external content sources

A lower-tier component may propose work to a higher-tier component but may not grant itself additional authority.

31.3 Reference Runtime Topology¶

Client / Application / API Consumer
    ↓
Ingress and Session Services
    ↓
Executive Controller
    ├── Router
    ├── Planner
    ├── Policy Evaluator
    ├── Budget Manager
    ├── Anticipatory Cognition Engine
    └── Cognitive Execution Scheduler
    ↓
Memory Governor
    ├── GAML Retrieval
    ├── Private-Memory Authorization
    ├── Context Packet Builder
    └── VTG Candidate Frontier
    ↓
Cognitive Execution
    ├── Semantic Core
    ├── Role-Based ELMs
    ├── Domain-Specific ELMs
    ├── Grounding Services
    └── Capability Selection
    ↓
Tool Intermediary, when an action or external read is required
    ├── Capability Validation
    ├── Dry Run
    ├── Sandbox
    ├── Approval
    ├── Execution
    ├── Sanitization
    └── Attestation
    ↓
Verification, Arbitration, Consensus, and Synthesis
    ↓
Response Delivery
    ↓
GAML Write Evaluation
    ↓
EIS, Reputation, VTG, Benchmark, and EGGROLL Signals

31.4 Executive Control and Orchestration Inventory¶

31.4.1 Ingress Service¶

Class: Deterministic Service

Responsibilities:

accept local, private, public, and API-originated requests
authenticate the caller
assign request and correlation identifiers
attach tenant, user, device, workspace, and privacy context
validate request size and schema
apply rate limits
normalize input modalities
emit request lifecycle events
route requests to the Executive Controller

Inputs:

chat requests
OpenAI-compatible API requests
local application requests
scheduled jobs
voice-stream events
capability-originated events
GNUS network jobs

Outputs:

normalized CognitiveRequest
session context
authentication context
policy references
initial privacy envelope

31.4.2 Session and Identity Context Service¶

Class: Deterministic Service

Responsibilities:

manage session lifecycle
resolve user, device, tenant, organization, and workspace identity
bind requests to privacy and retention policies
expose authorized memory scopes
expose approved capability grants
maintain revocation state
prevent cross-tenant context leakage

31.4.3 Executive Controller¶

Class: Deterministic Service with optional model assistance

The Executive Controller owns top-level request coordination.

Responsibilities:

determine request intent, complexity, risk, latency sensitivity, and privacy requirements
select execution mode
determine whether memory, grounding, tools, forecasting, EIS, arbitration, or consensus are required
allocate token, time, compute, privacy, and cost budgets
coordinate the Router, Planner, Memory Governor, Capability System, and execution services
produce or approve the final signed execution plan
handle cancellation, fallback, and escalation

Supported execution modes:

core_only
elm_assisted
local_agent
private_agent
swarm
verified_swarm
tool_using_agent
scheduled_workflow
streaming_voice

31.4.4 Intent and Risk Classifier¶

Class: Hybrid Agent and Deterministic Service

Responsibilities:

classify task category
estimate required expertise
classify tool and side-effect risk
identify high-stakes domains
detect private-data requirements
detect whether current information is required
recommend verification strictness
recommend human approval requirements

The classifier may be model-assisted, but deterministic policy rules may override its output.

31.4.5 Router¶

Class: Deterministic Service with learned or heuristic ranking

Responsibilities:

choose the smallest effective cognitive set
select the Semantic Core and relevant ELMs
select local, private, or public execution placement
choose grounding, memory, VTG, capability, and verification paths
use node health and reputation
use expected latency and cost
use model and adapter compatibility
use privacy and tenant restrictions
use historical task outcomes

31.4.6 Planner¶

Class: Role-Based ELM or Hybrid Service

Responsibilities:

decompose requests into bounded tasks
identify dependencies
identify required memory and evidence
propose execution stages
identify capability needs
identify verification checkpoints
define completion criteria
emit an inspectable execution graph

The Planner proposes an execution graph. The Executive Controller and policy services approve it.

31.4.7 Execution Graph Compiler¶

Class: Deterministic Service

Responsibilities:

convert planner output into an executable graph
validate stage dependencies
prevent cycles where prohibited
attach budgets and deadlines
attach privacy and placement constraints
attach capability and sandbox requirements
attach retry and fallback policies
generate signed execution-plan artifacts

31.4.8 Policy Evaluator¶

Class: Deterministic Service

Responsibilities:

evaluate system, tenant, workspace, user, and task policies
resolve policy precedence
enforce privacy boundaries
evaluate capability grants
determine approval requirements
determine allowed execution locations
determine allowed memory scopes
determine training and adaptation restrictions
reject invalid execution plans

31.4.9 Budget and Constraint Manager¶

Class: Deterministic Service

Responsibilities:

enforce maximum token usage
enforce wall-time limits
enforce monetary or reward budgets
enforce network and storage budgets
enforce maximum swarm width
enforce speculative-prefetch budgets
enforce connector rate limits
report budget exhaustion to the Executive Controller

31.4.10 Task Coordinator¶

Class: Deterministic Service

Responsibilities:

create task and subtask records
track task states
coordinate local and distributed dependencies
process retries
handle partial completion
detect stalled tasks
trigger fallback paths
coordinate cancellation
package final task outcomes

31.4.11 Scheduler and Dispatcher¶

Class: Deterministic Service

Responsibilities:

place work on local, private, or public nodes
match model, ELM, capability, memory, and hardware requirements
account for node reputation and health
reserve execution capacity
dispatch tasks
monitor deadlines
reassign failed tasks
support priority classes

31.4.12 Execution Trace Recorder¶

Class: Data Service

Responsibilities:

record selected context
record routing and planning decisions
record model and ELM selection
record tool proposals and approvals
record verification paths
record consensus and arbitration outcomes
record timing, cost, failures, and fallback behavior
preserve inspectability without storing unrestricted hidden chain-of-thought

31.5 Semantic Core and Expert Execution Inventory¶

31.5.1 Semantic Core Runtime¶

Class: Runtime Module

Responsibilities:

execute the general-purpose Semantic Core
support local and distributed inference
expose streaming and blocking inference
accept structured context packets
emit candidate responses and confidence metadata
emit optional tool proposals
emit execution metadata required by EIS
support quantized and non-quantized model variants

31.5.2 Model Runtime Abstraction¶

The runtime abstraction should support:

MNN
Vulkan
MoltenVK
CUDA where available
CPU fallback
SGFP4 containers
alternative quantization formats
local model runtimes
private enterprise runtimes
future latent or world-model substrates

31.5.3 Model and Artifact Registry¶

Class: Data Service

Responsibilities:

register model families and versions
register adapters
register SGFP4 containers
register tokenizers
register kernel manifests
register supported determinism classes
store artifact hashes and signatures
store hardware requirements
store benchmark and compatibility metadata
support deprecation and rollback

31.5.4 Expert Registry¶

Class: Data Service

Responsibilities:

register role-based ELMs
register domain-specific ELMs
declare supported capabilities
declare privacy and deployment restrictions
declare model and adapter dependencies
expose reputation and benchmark data
expose expected cost and latency
expose version and compatibility metadata

31.5.5 Role-Based ELMs¶

Initial role-based experts include:

ELM	Responsibilities
Planner ELM	Task decomposition, dependency identification, execution-graph proposals
Primary Draft ELM	High-quality initial answer or artifact generation
Verifier ELM	Factual, logical, mathematical, code, policy, and schema checking
Arbiter ELM	Resolve disagreement between experts, memories, or evidence
Refiner ELM	Improve clarity, organization, tone, and completeness
Formatter ELM	Enforce output schemas, templates, and deterministic formatting
Grounding ELM	Identify claims requiring evidence and interpret retrieved evidence
Tool-Support ELM	Convert user intent into bounded capability proposals
Memory ELM	Assist extraction, linking, summarization, and memory-candidate generation
Contradiction ELM	Identify conflicts across evidence, memory, plans, and outputs
Synthesis ELM	Combine verified specialist outputs into a coherent response

31.5.6 Domain-Specific ELMs¶

Initial domain classes may include:

code and software engineering
mathematics
science
legal and compliance
finance
operations
customer support
cybersecurity
data analysis
healthcare decision support, when explicitly governed
private enterprise domains
tenant-defined specialist domains

Domain ELMs must declare their evaluation set, expected limitations, and permitted tool and memory access.

31.5.7 Expert Output Packager¶

Class: Deterministic Service

Responsibilities:

validate expert response schemas
attach expert identity and version
attach evidence references
attach confidence and uncertainty
attach requested tool proposals
attach model and execution metadata
sign output where required
reject malformed or unsigned outputs

31.5.8 Private and Local ELM Manager¶

Responsibilities:

discover available local models
manage private model artifacts
bind models to user or enterprise scopes
enforce local-only execution policies
load and unload models based on demand
coordinate adapter selection
protect private prompts and memory
report runtime capabilities to the Router

31.5.9 Expert Evaluation Harness¶

Responsibilities:

run role-specific benchmarks
compare specialist quality against the Semantic Core
measure latency, cost, and reliability
evaluate tool proposal quality
evaluate grounding and verification behavior
detect regression after model or adapter changes
produce promotion and rollback recommendations

31.6 Forecast-Driven Cognition Inventory¶

31.6.1 Anticipatory Cognition Engine¶

Class: Hybrid Agent and Deterministic Service

Responsibilities:

maintain multiple bounded hypotheses about likely near-future cognitive needs
forecast likely user intent
forecast likely memory retrievals
forecast likely expert selection
forecast likely capability use
forecast likely grounding and verification paths
assign probabilities, costs, and expiration times
avoid committing speculative output as fact

31.6.2 Personal Forecast Model¶

Responsibilities:

learn recurring user workflows
learn conversational timing and interruption patterns
learn likely project and context transitions
remain private to the user or tenant unless explicitly shared
generate forecast features without exposing raw private memory

31.6.3 Forecast Hypothesis Manager¶

Responsibilities:

create, rank, merge, and expire hypotheses
prevent uncontrolled speculative branching
retain alternative plausible futures
associate hypotheses with budgets
mark hypotheses as confirmed, rejected, expired, or unresolved

31.6.4 Prefetch Planner¶

Responsibilities:

identify safe speculative work
request likely GAML context
warm model and adapter artifacts
prepare likely connector sessions
precompute grounding candidates
reserve local or network resources
avoid external side effects

31.6.5 Cognitive Execution Scheduler¶

Responsibilities:

schedule speculative and confirmed cognitive work
prioritize latency-critical tasks
cancel obsolete prefetch work
reuse valid prepared state
ensure speculative work does not starve confirmed execution
track preparation cost and realized latency savings

31.6.6 Speculative State Store¶

Rules:

speculative state is separate from trusted GAML memory
speculative tool calls may not cause side effects
speculative external data remains lower-trust
speculative state must expire
only confirmed and policy-approved outcomes may enter durable memory

31.6.7 Streaming Voice Predictor¶

Responsibilities:

predict likely turn completion
anticipate interruption
prefetch likely context during speech
warm response-generation paths
support low-latency bidirectional conversation
cancel predictions when user intent changes

31.6.8 Forecast Outcome Evaluator¶

Responsibilities:

measure forecast hit rate
measure wasted speculative work
measure latency saved
measure privacy-policy violations
measure wrong-path cost
emit training and EGGROLL signals

31.6.9 Anticipatory Distillation Exporter¶

Responsibilities:

generate forecast training samples
preserve hypothesis distributions rather than only winning predictions
attach actual outcomes
attach cost and latency consequences
apply privacy and tenant restrictions
exclude unapproved private traces

31.7 GAML and Cognitive Asset Inventory¶

31.7.1 Cognitive Asset Schema Registry¶

Class: Deterministic Service

Responsibilities:

define versioned Cognitive Asset schemas
validate asset types
validate relationships
validate privacy and trust metadata
support migrations
prevent unknown fields from silently changing semantics
publish canonical JSON Schema or Protobuf definitions

Core asset types include:

Fact
Claim
Goal
Constraint
Policy
Preference
Style Signal
Person
Organization
Project
Decision
Commitment
Deadline
Task
Contradiction
Bridge Block
Procedure
Plan
Tool Result
Verification Result
Arbitration Result
Consensus Record
Execution Claim
Execution Verdict
Benchmark Result
Distillation Sample
Specialist Trace
Capability Provider
Connector
Capability
Capability Contract
Capability Execution Record
Memory Trace

31.7.2 GAML Memory API¶

Responsibilities:

create memory candidates
retrieve authorized assets
update versioned assets
supersede existing assets
create and query relationships
propose trust promotion
request deletion or revocation
retrieve timelines and contradictions
expose provenance and source evidence

31.7.3 Local Memory Store¶

Class: Data Service

Initial implementation:

RocksDB or approved equivalent for local structured state
encrypted payload storage for private memory
tenant- or user-scoped indexes
append-only audit records for sensitive mutations

Responsibilities:

local durability
versioned records
tombstones
transaction support
encrypted private scopes
fast metadata lookup

31.7.4 Content-Addressed Artifact Store¶

Responsibilities:

store large documents and artifacts outside core memory records
store model, tool, and verification artifacts
expose content identifiers
verify hashes on retrieval
support IPFS-lite or another approved content-addressed mechanism
preserve privacy through encryption before replication

31.7.5 Graph Relationship Service¶

Responsibilities:

manage references
manage supports
manage contradicts
manage supersedes
manage derived_from
manage depends_on
manage provided_by
manage requires
manage tenant-defined relationship classes
validate relationship scope and access

The graph service is part of GAML’s canonical state. External graph databases may be used as rebuildable indexes, not independent sources of truth.

31.7.6 Metadata, Semantic, and Graph Index Manager¶

Responsibilities:

maintain metadata indexes
maintain temporal indexes
maintain entity indexes
maintain optional semantic-vector indexes
maintain graph-traversal indexes
keep derived indexes synchronized with canonical GAML records
inherit privacy scope from source assets
delete derived index entries when source data is revoked

31.7.7 Source Observer Agents¶

Responsibilities:

monitor approved sources
detect created, changed, moved, and deleted records
emit normalized source events
preserve source identifiers
preserve privacy scope
avoid reading unauthorized content

Source types include:

conversations
email
calendars
meeting transcripts
voice notes
local notes
Markdown and Obsidian vaults
documents and PDFs
source repositories
project systems
databases
business systems
local operating-system services
approved external APIs

31.7.8 Ingestion and Normalization Service¶

Responsibilities:

normalize source events
assign source and tenant context
preserve raw-source references
classify content type
extract timestamps
canonicalize identities and date formats
route candidate content to extraction services

31.7.9 Extraction Agents¶

Responsibilities:

propose people and organizations
propose projects and topics
propose facts and claims
propose decisions
propose commitments and deadlines
propose tasks
propose preferences
propose contradictions
propose procedures
attach source spans and confidence

Extracted information remains a candidate until it passes deterministic validation and memory-write policy.

31.7.10 Entity Resolution Service¶

Responsibilities:

merge aliases
resolve duplicate people and organizations
resolve email addresses, handles, account identifiers, and device identities
preserve prior identifiers
support user-confirmed merges and splits
avoid cross-tenant identity correlation

31.7.11 Temporal and Supersession Resolver¶

Responsibilities:

determine whether information is current, historical, or future
detect moved deadlines
detect changed ownership
link superseding facts and decisions
retain historical versions
expose valid-time and transaction-time semantics where needed

31.7.12 Contradiction Detection Service¶

Responsibilities:

detect competing facts
detect incompatible deadlines
detect conflicting commitments
detect policy conflicts
detect source disagreement
calculate contradiction severity
request arbitration when necessary
avoid silently overwriting contested state

31.7.13 Provenance and Lineage Service¶

Responsibilities:

preserve source identity
preserve derivation chains
preserve tool attestations
preserve model and expert origin
calculate provenance score
expose source evidence
distinguish direct observation from inference
distinguish user-confirmed state from model-generated state

31.7.14 Memory Scoring and Write Gate¶

Responsibilities:

evaluate novelty
evaluate expected future utility
evaluate consistency
evaluate freshness
evaluate provenance
evaluate contamination risk
evaluate privacy and policy restrictions
choose reject, temporary, lower-trust, or higher-trust storage
require user or consensus confirmation where policy demands it

Representative logic:

write_score =
    novelty
  + expected_utility
  + consistency
  + durability
  - contamination_risk

trust_score =
    provenance
  + verification
  + user_confirmation
  + attestation
  + approved_consensus

31.7.15 Private-Memory Authorization Service¶

Privacy is independent of trust.

Supported privacy scopes should include:

local_only
user_private
trusted_device_group
workspace_private
enterprise_private
tenant_private
explicitly_shared
public

Responsibilities:

verify owner identity
verify authorized principals and roles
enforce purpose restrictions
enforce replication policy
enforce inference-placement policy
enforce export policy
enforce training policy
enforce retention policy
prevent unauthorized retrieval before semantic matching occurs

Retrieval order:

Identity
    ↓
Authorization
    ↓
Privacy and purpose boundary
    ↓
Trust and provenance
    ↓
Freshness and temporal validity
    ↓
Semantic and graph relevance

31.7.16 Private-Memory Encryption and Key Reference Service¶

Responsibilities:

bind private assets to encryption-key references
support user, device-group, workspace, project, and enterprise keys
rotate keys
revoke keys
prevent storage nodes from decrypting unauthorized payloads
minimize metadata leakage
encrypt private embeddings and graph projections where required

GAML stores key references and policy metadata, not raw encryption keys.

31.7.17 Derived-Artifact Privacy Inheritance¶

The following must inherit or strengthen the privacy of their source data:

summaries
embeddings
graph edges
Bridge Blocks
context packets
retrieved excerpts
tool results
model traces
VTG state identifiers
EGGROLL signals
benchmark samples
distillation samples
cached prompts
forecast traces

A derived artifact may not receive a broader privacy scope unless an explicit redaction, anonymization, and approval process authorizes it.

31.7.18 Memory Governor¶

Class: Deterministic Service with model-assisted ranking

Responsibilities:

determine whether memory is required
select allowed memory classes
select retrieval budgets
choose trusted-only or mixed-trust behavior
evaluate stale or superseded assets
resolve whether contradictions require arbitration
assemble the smallest useful memory set
prevent private memory from reaching unauthorized execution nodes

31.7.19 Retrieval Planner¶

Responsibilities:

perform metadata prefiltering
perform graph traversal
perform temporal filtering
perform semantic matching
perform provenance filtering
retrieve candidate Bridge Blocks
retrieve related procedures and policies
return ranked, explainable memory candidates

31.7.20 Bridge Block Generator¶

Responsibilities:

summarize bounded task spans
preserve active state
preserve decisions and unresolved questions
preserve source and provenance references
support later continuity without transcript replay
avoid introducing unsupported facts
inherit privacy from source context

31.7.21 Context Packet Builder¶

Responsibilities:

combine current request
combine relevant GAML assets
combine active policies
combine contradictions and uncertainty
combine permitted capability metadata
combine VTG candidates
enforce token and privacy budgets
generate specialist-specific context packets
hash canonical packets for trace and VTG use

31.7.22 CRDT Replication and Convergence Service¶

Responsibilities:

synchronize approved memory state
preserve local autonomy
enforce scope-specific replication
prevent private records from entering public replication
retain provenance and trust metadata
handle tombstones and revocation
support policy-aware conflict resolution

31.7.23 Human-Readable Memory Mirror¶

Responsibilities:

export GAML state to portable Markdown, Obsidian-compatible files, or HTML
expose source references and change history
preserve stable GAML identifiers
expose privacy and confidence metadata
permit human inspection
treat human edits as proposed GAML mutations
validate imports before changing canonical state

31.7.24 Retention, Deletion, and Revocation Service¶

Responsibilities:

apply retention schedules
delete or tombstone assets
remove derived indexes
revoke shared copies where possible
record deletion attestations
handle source-linked deletion
preserve legally required audit evidence without retaining unauthorized payloads

31.7.25 Memory-to-Learning Export Gate¶

Responsibilities:

prevent private or lower-trust memory from entering training by default
require stricter promotion criteria for training than retrieval
redact or anonymize approved samples
preserve tenant boundaries
attach consent and policy references
support local-only and enterprise-only adaptation

31.8 Objective Memory and VTG Inventory¶

31.8.1 VTG State Canonicalizer¶

Responsibilities:

canonicalize execution and cognitive states
include model, adapter, role, tenant, policy, and context compatibility
use tenant-scoped keyed hashes for private states
avoid storing raw private prompts unless explicitly permitted

31.8.2 Transition Edge Store¶

Responsibilities:

store candidate transitions
store acceptance and rejection counts
store verification and grounding scores
store execution-success scores
store latency savings
store role and model compatibility
store policy and tenant scope
support decay and invalidation

31.8.3 Candidate Frontier Service¶

Responsibilities:

retrieve multiple possible continuations
rank candidates by verification, compatibility, reputation, and recency
return candidates as proposals
never treat a cache or transition hit as truth
expose confidence and required verification path

31.8.4 Transition Validation Collector¶

Responsibilities:

consume verifier outcomes
consume test results
consume grounding outcomes
consume tool execution outcomes
consume user acceptance or rejection
update transition evidence

31.8.5 Transition Decay and Compatibility Manager¶

Responsibilities:

decay stale transitions
invalidate model-incompatible edges
invalidate policy-incompatible edges
isolate tenant-specific transitions
prevent transition reuse across unsafe context changes

31.8.6 VTG Trace Integration¶

Responsibilities:

record whether VTG was queried
record candidate counts and accepted rank
record verification path
record measured latency savings
emit EGGROLL and benchmark signals
avoid exposing hidden reasoning content

31.9 Grounding, Verification, Arbitration, and Synthesis Inventory¶

31.9.1 Claim Extraction Service¶

Responsibilities:

identify factual claims
identify mathematical claims
identify code claims
identify policy claims
identify tool-derived claims
classify which claims require verification
link claims to evidence requests

31.9.2 Public Grounding Service¶

Responsibilities:

retrieve approved public knowledge
integrate Grokipedia and approved public sources
attach provenance and freshness
return evidence packets
mark externally derived content as lower-trust until verified
protect prompts from external instructions

31.9.3 Private Grounding Service¶

Responsibilities:

retrieve private tenant or user knowledge
enforce authorization before retrieval
preserve local or private execution boundaries
generate evidence packets without broadening privacy scope

31.9.4 Evidence Packager¶

Responsibilities:

normalize evidence
attach source identity
attach timestamps
attach trust and provenance
attach privacy scope
identify conflicting evidence
expose bounded excerpts rather than unrestricted documents

31.9.5 Specialized Verifiers¶

Initial deterministic or model-assisted verifiers include:

factual verifier
mathematical verifier
code compiler and test verifier
schema validator
formatting validator
policy verifier
privacy-boundary verifier
citation verifier
tool-output verifier
grounding verifier
contradiction verifier

31.9.6 Confidence and Uncertainty Calibrator¶

Responsibilities:

calibrate expert confidence
distinguish model confidence from evidence quality
expose unresolved uncertainty
avoid collapsing disagreement into false certainty
identify when escalation is required

31.9.7 Epistemic Framework Registry¶

Responsibilities:

register reasoning and arbitration frameworks
version framework definitions
declare supported problem classes
declare required inputs
support deterministic JSON reasoning machines
support constrained WASM extensions
prevent untrusted frameworks from acquiring tool authority

31.9.8 Arbitration Runtime¶

Responsibilities:

compare candidate outputs
compare evidence quality
compare memory trust
evaluate contradiction pressure
select, merge, reject, or escalate candidates
record the arbitration decision
preserve lineage for later evaluation

31.9.9 Reputation-Weighted Consensus Coordinator¶

Responsibilities:

gather eligible node or expert results
weight results by role- and domain-specific reputation
account for provenance, confidence, freshness, and EIS evidence
identify insufficient consensus
trigger arbitration or fallback
produce a signed consensus record

31.9.10 Synthesis Service¶

Responsibilities:

combine verified drafts and evidence
use only approved memory and attested tool outputs
resolve duplication and inconsistency
preserve qualifications and uncertainty
produce the final response artifact
attach selected evidence and lineage

31.9.11 Final Formatter¶

Responsibilities:

enforce requested format
enforce API schemas
enforce citation format
enforce structured output requirements
prevent formatting changes from altering verified meaning

31.10 Reputation and Consensus Infrastructure¶

31.10.1 Reputation Store¶

Responsibilities:

maintain node reputation
maintain expert reputation
maintain connector and capability reputation
maintain verifier and arbiter reputation
maintain role- and domain-specific scores
preserve evidence for score changes

31.10.2 Reputation Update Engine¶

Inputs may include:

correctness
verifier agreement
execution honesty
latency
uptime
safety behavior
tool success
grounding quality
user corrections
fraud verdicts
benchmark outcomes

31.10.3 Sybil and Abuse Resistance¶

Responsibilities:

require identity and history where appropriate
weight new participants conservatively
detect collusion patterns
isolate suspicious nodes
integrate EIS fraud evidence
apply economic or participation penalties

31.10.4 Reputation Replication¶

Responsibilities:

synchronize approved reputation state
use CRDT-safe convergence
preserve evidence references
support local trust overlays
prevent a single node from unilaterally rewriting global reputation

31.11 Execution Integrity System Inventory¶

31.11.1 Execution Contract Builder¶

Responsibilities:

declare model and version
declare adapter and version
declare SGFP4 or model-container hash
declare tokenizer
declare kernel manifest
declare determinism class
declare sampling parameters and seed
declare hardware or runtime profile
sign the contract

31.11.2 Kernel and Runtime Registry¶

Responsibilities:

register approved kernels
register drivers and runtime compatibility
register determinism behavior
record calibration results
support revocation
detect unsupported execution combinations

31.11.3 Determinism Certification Service¶

Responsibilities:

classify kernels and execution paths
maintain determinism classes
measure expected drift
publish allowed verification strategies

31.11.4 Checkpoint Calibration Service¶

Responsibilities:

generate checkpoint bands
measure expected numerical variation
calculate substitution margins
store model- and kernel-specific calibration
update calibration after approved runtime changes

31.11.5 Execution Claim Collector¶

Responsibilities:

receive signed node claims
validate claim structure
associate claims with task and execution contract
store checkpoint digests and token metadata
reject malformed or incompatible claims

31.11.6 Spot-Check Scheduler¶

Responsibilities:

select tasks for checking
select checkpoint locations
select verifier nodes
account for node reputation and risk
avoid predictable checking schedules
control verification cost

31.11.7 Teacher-Forced Execution Checker¶

Responsibilities:

reproduce selected execution segments
compare observed output to calibrated bands
identify possible substitution
generate signed check results

31.11.8 Fraud Verdict Service¶

Responsibilities:

combine check results
distinguish pass, borderline, escalation, and fraud
produce signed verdicts
feed reputation and settlement
preserve auditable evidence

31.11.9 EIS Evidence Store¶

Responsibilities:

store contracts
store claims
store calibration
store spot checks
store verdicts
expose policy-scoped audit access
integrate with GAML as Cognitive Assets

31.11.10 Future Hardware Attestation Adapter¶

Potential responsibilities:

ingest TEE or hardware attestations
bind hardware state to execution contracts
verify driver and firmware versions
supplement rather than replace model-output verification

31.12 GCS Capability System and Connector Inventory¶

31.12.1 Capability Registry¶

Class: Data Service

Responsibilities:

store canonical capability identities
store versions and providers
store input and output schemas
store side-effect classifications
store required permissions
store privacy and data classifications
store connector implementations
store reliability, latency, and cost
store deprecation and revocation state

31.12.2 Connector Registry¶

Responsibilities:

register connector instances
identify protocol and provider
identify local, private, enterprise, or public placement
identify authentication method
identify supported capabilities
identify connector trust class
expose health and version state

31.12.3 Connector Discovery Manager¶

Responsibilities:

discover MCP tools and resources
ingest OpenAPI descriptions
ingest GraphQL schemas
ingest gRPC service definitions
discover local application interfaces
discover GNUS-native services
detect connector changes
prevent automatic authority escalation

31.12.4 Capability Translation Agent¶

Class: Model-Assisted Agent

Responsibilities:

interpret external tool and API schemas
propose canonical capability names
propose permission scopes
propose data classifications
propose risk and side-effect classes
propose sandbox profiles
propose approval requirements
generate human-readable documentation

Its output is a proposal and must pass deterministic validation.

31.12.5 Capability Contract Validator¶

Class: Deterministic Service

Responsibilities:

validate generated contracts
reject undeclared inputs or outputs
require side-effect classification
require permission declarations
require data-class declarations
require authentication requirements
require sandbox and network policy
require version and provider identity
prevent broader permissions than connector configuration allows

31.12.6 Capability Contract Signer and Version Manager¶

Responsibilities:

hash canonical contracts
sign approved contracts
track versions
detect manifest drift
invalidate changed contracts
require re-review after material changes
support rollback to prior approved versions

31.12.7 Policy Binder¶

Responsibilities:

attach system and tenant policy
attach user grants
attach allowed data scopes
attach approved execution locations
attach approval requirements
attach retention and memorization rules

31.12.8 Credential Broker¶

Responsibilities:

reference credentials without exposing them to ELMs
support OAuth, API keys, certificates, local OS grants, and service identities
enforce token audience and scope
isolate tenant credentials
refresh and revoke grants
inject credentials only inside approved execution boundaries

Raw credentials must not be stored in GAML.

31.12.9 Capability Router¶

Responsibilities:

select among equivalent providers
consider local-first execution
consider privacy and placement
consider health, cost, latency, and reputation
prefer least-privilege implementations
select fallback connectors
avoid external providers when local capabilities satisfy the request

31.12.10 Provider Health and Reputation Monitor¶

Responsibilities:

measure availability
measure error rates
measure schema stability
measure response latency
measure output quality
measure policy violations
measure sandbox or sanitizer findings
update connector and capability reputation

31.12.11 Connector Drift Detector¶

Responsibilities:

periodically refresh external manifests
compare schemas and permissions
detect added operations
detect widened scopes
suspend affected capabilities
trigger contract regeneration and review

31.12.12 GCS Capability Server¶

Responsibilities:

expose selected GCS capabilities to external MCP or API clients
expose GAML resources only within authorized scope
expose job submission and status
expose approved read-only and proposed-write operations
prevent external clients from directly mutating higher-trust memory
route external calls through the same Tool Intermediary

31.12.13 Initial Connector Families¶

Local Personal Data¶

local email
local calendars
contacts
local notes
Markdown and Obsidian vaults
documents and PDFs
browser captures and history, when approved
meeting transcripts
voice notes
local application databases
operating-system notifications
filesystem folders

Development Systems¶

GitHub
GitLab
Bitbucket
source-code workspaces
CI systems
package registries
issue trackers
Jira
Linear
build and test systems

Data and Knowledge Systems¶

SQLite
PostgreSQL
MySQL
MongoDB
Redis
vector indexes
graph indexes
data warehouses
internal knowledge bases
document repositories

Enterprise Systems¶

Microsoft 365
Google Workspace
SharePoint
Slack
Teams
Salesforce
HubSpot
ServiceNow
SAP
internal REST, GraphQL, and gRPC services

Web and Research¶

browser automation
web retrieval
search providers
crawlers
public datasets
Grokipedia
research repositories
document processors

Finance and Commerce¶

accounting systems
banking-data APIs
invoicing systems
payment processors
commerce platforms
blockchain RPC
wallet and smart-contract interfaces

Device and Operating-System Capabilities¶

filesystem
approved process execution
notifications
secure storage
sensors
cameras and microphones, with explicit consent
IoT systems
local network services

GNUS-Native Services¶

GNUS job queue
GCS model execution
GAML retrieval
EIS verification
reputation and settlement
GNUS storage and artifact distribution

Optional External Inference Providers¶

External AI providers may be implemented as optional connectors for:

evaluation
teacher-model generation
distillation
explicitly authorized fallback
independent verification
tenant-selected workflows

They are not required components of the GCS cognitive core.

31.12.14 Initial Connector Priority¶

Priority 0

local filesystem
local Markdown or Obsidian vault
local email
local calendar
GitHub
HTTP and OpenAPI
MCP
SQLite and PostgreSQL
GNUS-native services

Priority 1

browser and web retrieval
Microsoft and Google productivity systems
GitLab, Jira, and Linear
enterprise document systems
local operating-system services
notifications and contacts

Priority 2

finance and accounting
commerce platforms
IoT and sensors
specialized enterprise systems
optional external inference providers

31.13 Secure Tool Intermediary Inventory¶

31.13.1 Tool Proposal Intake¶

Responsibilities:

receive every proposed capability invocation
validate proposal schema
bind proposal to request and execution plan
resolve the canonical capability contract
reject calls that bypass capability registration

31.13.2 Capability Enforcement Engine¶

Responsibilities:

compare requested operation to approved contract
enforce arguments and schemas
enforce user and tenant grants
enforce data and side-effect scope
enforce network, filesystem, credential, and device permissions
default deny any undeclared behavior

31.13.3 Dry-Run Engine¶

Responsibilities:

simulate capability execution
produce expected side effects
identify required secrets
identify network destinations
identify filesystem changes
produce a bounded mock result
fail closed when safe simulation is unavailable

31.13.4 Sandbox Orchestrator¶

Supported sandbox implementations may include:

Firecracker micro-VM
OS-level sandbox
container sandbox
WASM runtime
mobile application sandbox
local-process profile with capability mediation

Responsibilities:

deny ambient authority
expose only declared host capabilities
enforce CPU, memory, storage, and time limits
enforce egress restrictions
isolate credentials
capture execution evidence

31.13.5 Output Sanitizer¶

Responsibilities:

normalize encoding
remove control and zero-width characters
remove active HTML or document content
identify instruction-like text
identify encoded payloads
identify prompt traps
preserve source data separately for audit
return sanitized structured output

31.13.6 Prompt-Injection and Trap Detector¶

Detection categories include:

instruction overrides
hidden text
HTML scripts and event handlers
document overlays
suspicious media metadata
encoded command payloads
credential requests
capability-escalation instructions
memory-poisoning attempts

31.13.7 Human Approval Service¶

Approval should normally be required when a capability:

writes external state
sends communications
deletes or modifies files
uses credentials
creates financial consequences
changes permissions
touches sensitive personal data
produces severe risk findings
is required by user or workspace policy

31.13.8 Execution Broker¶

Responsibilities:

execute only approved and attested calls
use idempotency keys where possible
enforce deadlines
capture results and side effects
support cancellation where possible
support compensation or rollback metadata
prevent the proposing ELM from receiving credentials

31.13.9 Tool Attestation Signer¶

The attestation should distinguish:

safe_to_execute
safe_to_return
safe_to_memorize
safe_to_train

Responsibilities:

sign dry-run and policy results
sign capability and policy hashes
sign sanitizer version
sign actual execution metadata
bind output to request and tool call
expose verification to synthesis and GAML

31.13.10 Tool Result Normalizer¶

Responsibilities:

convert provider-specific output into canonical ToolResult
preserve raw-output hash
preserve connector and capability identity
preserve timestamps
preserve privacy and data classifications
attach sanitizer findings
attach attestation references

31.13.11 Memory Writeback Gate for Tool Results¶

Responsibilities:

prevent raw external output from becoming trusted memory
require provenance
require sanitization
require safe_to_memorize
classify lower- versus higher-trust storage
inherit privacy from the request and source
block training export unless separately approved

31.14 Local Cognitive Second Brain Inventory¶

31.14.1 Second Brain Agent¶

Responsibilities:

interpret user requests
request authorized private memory
build compact context packets
invoke local or private ELMs
use permitted capabilities
return grounded answers, briefs, drafts, or actions
propose confirmed writeback
emit adaptation signals

31.14.2 Local Source Observer¶

Responsibilities:

watch approved local sources
detect changes
preserve local-only boundaries
emit normalized events
avoid unnecessary cloud access

31.14.3 Personal Entity and Project Resolver¶

Responsibilities:

resolve people
resolve organizations
resolve projects
resolve commitments
resolve recurring meetings
connect messages, documents, and tasks
preserve user corrections

31.14.4 Commitment and Deadline Tracker¶

Responsibilities:

identify promises
identify owners and recipients
identify due dates
track status
detect moved or stale commitments
prepare follow-up suggestions
retain source evidence

31.14.5 Meeting Preparation Service¶

Responsibilities:

read approved calendar events
resolve attendees
retrieve relevant projects and prior communication
retrieve commitments and decisions
identify open questions
produce source-backed meeting briefs

31.14.6 Daily Brief Service¶

Responsibilities:

retrieve calendar, tasks, inbox changes, and project state
summarize relevant changes
surface risks and overdue commitments
preserve privacy
support local text or voice delivery

31.14.7 Project Drift Detector¶

Responsibilities:

compare recent state to prior project state
detect changed assumptions
detect deadline changes
detect owner changes
detect contradictions
identify stale plans
produce material-change summaries

31.14.8 Local Email Capability¶

Implementations may include:

Apple Mail local store or approved bridge
Thunderbird profile
Maildir or mbox
local IMAP cache
Outlook-local interfaces where supported
remote Gmail or Microsoft connectors when explicitly authorized

Internal capabilities may include:

email.message.search
email.message.read
email.thread.read
email.attachment.read
email.folder.list
email.draft.propose
email.send

Read operations and write operations must remain separate capabilities.

Sending, deleting, moving, or modifying email requires explicit policy and normally human approval.

31.14.9 Personal Vault Mirror¶

Responsibilities:

expose inspectable user memory
support Markdown and Obsidian
display sources, confidence, privacy, and update history
allow proposed corrections
avoid treating arbitrary local edits as trusted memory automatically

31.14.10 Private Device Synchronization¶

Responsibilities:

synchronize encrypted user-private memory
manage trusted-device membership
enforce revocation
preserve CRDT convergence
prevent public swarm access

31.14.11 User Correction and Confirmation Service¶

Responsibilities:

capture corrections
capture rejected summaries
capture preferred phrasing
capture confirmed entities and relationships
promote user-confirmed memory where appropriate
emit EGGROLL signals within the allowed privacy scope

31.15 OpenAI-Compatible API and GCS Job Queue Inventory¶

31.15.1 OpenAI-Compatible API Router¶

Responsibilities:

implement model discovery
implement chat completions
implement streaming
implement embeddings where supported
normalize requests
map model aliases
attach tenant and policy context
convert internal results to compatible responses
translate internal errors
handle client cancellation

31.15.2 Authentication and Rate-Limit Service¶

Responsibilities:

validate API keys
bind keys to tenant and project
apply quotas
apply abuse controls
support revocation
preserve audit records

31.15.3 API Request Job Builder¶

Responsibilities:

create signed high-level API jobs
preserve request deadlines
preserve streaming requirements
preserve privacy and cost envelopes
preserve external response format
identify whether child processing jobs are required

31.15.4 GCS Gateway Node¶

Responsibilities:

bridge HTTP and the GNUS network
maintain libp2p connections
publish request jobs
subscribe to stream and result channels
verify worker claims
handle requeue and failure
expose job status
emit metering records

31.15.5 API Request Queue¶

Responsibilities:

store high-level client request jobs
preserve lifecycle state
preserve deadlines
preserve tenant and policy context
support cancellation
support blocking and streaming requests

31.15.6 Processing Chunk Queue¶

Responsibilities:

retain the existing low-level distributed compute model
store processable subtasks
support locks
support lock expiry and reclaim
support completion records
support failed-task blacklisting
support deterministic result storage

31.15.7 Node Capability Registration¶

Responsibilities:

publish node availability
publish supported models and ELMs
publish memory, verification, and capability services
publish hardware and runtime constraints
publish reputation and health references

31.15.8 Streaming Channel Manager¶

Responsibilities:

publish partial results
preserve sequence
handle disconnects
support cancellation
prevent cross-request stream leakage
convert internal chunks to API-compatible SSE

31.15.9 Result Aggregator¶

Responsibilities:

collect child results
validate signatures
combine or arbitrate results
package usage
package attestations
produce final external response metadata

31.15.10 Usage, Metering, and Settlement Adapter¶

Responsibilities:

record compute usage
record tool usage
record storage and network usage
calculate client usage
produce settlement hooks
preserve task and attestation references

31.16 Distributed Infrastructure Inventory¶

31.16.1 libp2p Node Service¶

Responsibilities:

node discovery
authenticated messaging
pub/sub participation
request and result propagation
peer health
connection management

31.16.2 Pub/Sub Topic Manager¶

Responsibilities:

define topic naming
manage capability and job topics
manage result and stream topics
manage reputation and memory topics
enforce tenant-private topic boundaries
prevent unauthorized subscriptions

31.16.3 Distributed Task Queue¶

Responsibilities:

expose democratized work pickup
manage locks
manage expiry
manage retry
manage completion
preserve task identity
integrate with reputation and settlement

31.16.4 Node Discovery and Capability Advertisement¶

Responsibilities:

advertise models
advertise ELM roles
advertise verification services
advertise capability providers
advertise hardware
advertise privacy placement
advertise availability

31.16.5 Distributed Artifact Manager¶

Responsibilities:

distribute models and adapters
distribute SGFP4 containers
distribute manifests
distribute approved procedures and modules
verify content hashes
respect private artifact boundaries

31.16.6 CRDT State Manager¶

Responsibilities:

replicate selected memory
replicate reputation
replicate queue state
handle concurrent updates
support policy-aware conflict handling
preserve tombstones

31.16.7 gRPC Service Interface Layer¶

Responsibilities:

provide typed internal service APIs
expose health and readiness
support local and private-service communication
avoid replacing GNUS distributed coordination semantics

31.16.8 Node Health Monitor¶

Responsibilities:

collect heartbeats
collect resource utilization
detect unhealthy nodes
detect repeated failures
publish scheduling signals
trigger route exclusion

31.16.9 Node Identity and Signing¶

Responsibilities:

manage node identity
sign messages
verify peer messages
rotate keys
revoke compromised nodes
integrate with reputation and settlement

31.17 EGGROLL and Adaptive Learning Inventory¶

31.17.1 Learning Signal Collector¶

Inputs include:

user corrections
accepted and rejected outputs
verifier corrections
arbitration outcomes
routing outcomes
memory retrieval failures
capability execution outcomes
EIS verdicts
forecast outcomes
VTG accept and reject events
benchmarks

31.17.2 Privacy and Curation Gate¶

Responsibilities:

enforce training policy
exclude private and prohibited data
apply tenant scope
redact or anonymize approved samples
filter lower-trust data
require stronger provenance for adaptation than retrieval

31.17.3 Distillation Sample Builder¶

Responsibilities:

create planning samples
create routing samples
create memory-selection samples
create verification samples
create synthesis samples
create tool-use samples
create forecast samples
preserve evidence and outcome metadata

31.17.4 Fitness Evaluator¶

Responsibilities:

define task-specific fitness
incorporate quality, latency, safety, cost, and reliability
evaluate specialist and policy variants
prevent optimization on a single misleading metric

31.17.5 Perturbation and Training Coordinator¶

Responsibilities:

schedule local or distributed adaptation jobs
select model, adapter, router, critic, or policy targets
distribute approved training work
collect results
preserve experiment lineage

31.17.6 Promotion Gate¶

Responsibilities:

compare candidate against baseline
require benchmark success
require safety and privacy success
require no material regression
support staged rollout
support rollback

31.17.7 Local and Tenant Adaptation Manager¶

Responsibilities:

keep private adaptation local or tenant-contained
manage user-specific adapters
manage private routing preferences
manage memory-scoring preferences
prevent unauthorized global promotion

31.17.8 Learning Artifact Registry¶

Responsibilities:

version datasets
version adapters
version routing policies
version memory policies
version forecast models
preserve benchmark and promotion evidence

31.18 Security, Privacy, and Governance Inventory¶

31.18.1 Identity and Authorization Service¶

Responsibilities:

user identity
device identity
tenant identity
node identity
service identity
role and attribute authorization
revocation

31.18.2 Privacy Policy Engine¶

Responsibilities:

local-only enforcement
user-private enforcement
enterprise-private enforcement
tenant isolation
explicit sharing
public release
purpose limitation
export and training restrictions

31.18.3 Key Management Service¶

Responsibilities:

generate and store encryption keys
manage signing keys
rotate keys
revoke keys
expose key references
support hardware-backed storage where available

31.18.4 Secrets Service¶

Responsibilities:

store API and connector secrets
provide scoped secret injection
prevent ELM access
audit secret use
support rotation and revocation

31.18.5 Sandbox Profile Registry¶

Responsibilities:

define approved sandbox profiles
define network permissions
define filesystem permissions
define device permissions
define CPU, memory, and time limits
version and sign profiles

31.18.6 Audit Event Store¶

Responsibilities:

store security-sensitive events
store memory promotions
store capability approvals
store tool attestations
store policy overrides
store key and permission changes
support tamper-evident audit chains

Responsibilities:

record user consent
record enterprise authorization
record tool approvals
record memory-sharing approvals
record training opt-in
record revocation

31.18.8 Threat Detection Service¶

Responsibilities:

detect prompt injection
detect memory poisoning
detect abnormal connector behavior
detect node substitution
detect credential misuse
detect privilege escalation
detect cross-tenant access attempts

31.19 User and Operator Interface Inventory¶

31.19.1 Cognitive Client Interface¶

Responsibilities:

submit requests
display streaming progress
display source and verification summaries
display approval requests
display uncertainty
support cancellation
expose privacy mode

31.19.2 Capability Approval Interface¶

Responsibilities:

display proposed capability
display provider
display requested permissions
display data touched
display expected side effects
display dry-run findings
approve once, approve by policy, or reject

31.19.3 Memory Inspector¶

Responsibilities:

view stored memory
view sources
view trust and privacy
view relationships
view contradictions
correct or revoke memory
export approved memory

31.19.4 Connector Administration Interface¶

Responsibilities:

install and register connectors
inspect generated capability contracts
approve permission scopes
manage credentials
monitor health
review drift
disable or revoke connectors

31.19.5 Node and Swarm Operations Interface¶

Responsibilities:

view node health
view active jobs
view queue depth
view EIS status
view reputation
view model and artifact versions
manage maintenance and revocation

31.19.6 Evaluation and Benchmark Interface¶

Responsibilities:

run benchmarks
compare models and experts
compare router policies
inspect regressions
inspect tool and memory performance
approve promotions

31.20 Observability and Operational Services¶

31.20.1 Canonical Event Bus¶

Minimum events include:

request accepted
execution plan created
route selected
context assembled
expert started and completed
capability proposed
dry run completed
approval requested
tool executed
verification completed
arbitration completed
response finalized
memory candidate generated
memory written or rejected
EIS claim and verdict
forecast created and resolved
learning signal emitted

31.20.2 Trace Service¶

Responsibilities:

correlate events by request and task
expose execution-stage timing
expose selected components
expose failure and fallback
preserve privacy-aware trace views

31.20.3 Metrics Service¶

Primary metrics include:

end-to-end latency
routing overhead
memory retrieval latency
expert latency
tool-intermediary latency
verification latency
forecast hit rate
capability success rate
connector failure rate
memory write rate
EIS failure rate
quality regression
cost per request

31.20.4 Logging Service¶

Responsibilities:

structured logs
privacy-aware redaction
local and distributed collection
retention policy
correlation identifiers
incident export

31.20.5 Alerting Service¶

Critical alerts include:

direct tool execution without attestation
unauthorized memory access
private-memory replication violation
higher-trust write without required evidence
forged or invalid execution claim
key compromise
connector scope expansion
sanitizer failure
cross-tenant leakage

31.20.6 Configuration and Feature-Flag Service¶

Responsibilities:

version configuration
scope configuration by environment and tenant
support staged rollout
support emergency disablement
preserve audit history
prevent unreviewed policy weakening

31.21 Canonical Interface and Schema Inventory¶

The initial schema package should include:

CognitiveRequest
SessionContext
IdentityContext
PrivacyEnvelope
ExecutionPlan
ExecutionStage
ExpertDescriptor
ExpertOutput
ContextPacket
CognitiveAsset
MemoryEvent
MemoryQuery
MemoryCandidate
ContradictionRecord
CapabilityProvider
ConnectorManifest
CapabilityContract
CapabilityGrant
CapabilityInvocation
ToolProposal
DryRunResult
SanitizedData
ToolAttestation
ToolResult
GroundingEvidence
VerificationResult
ArbitrationResult
ConsensusRecord
ExecutionContract
ExecutionClaim
CheckpointCalibration
ExecutionVerdict
ForecastHypothesis
PrefetchPlan
ForecastOutcome
VTGState
VTGTransition
APIRequestJob
ProcessingChunkJob
TaskResult
LearningEvent
DistillationSample
BenchmarkResult
ReputationUpdate
AuditEvent

Each schema should define:

version
stable identifier
timestamps
creator
tenant and privacy scope
provenance
signatures where required
compatibility rules
migration behavior

31.22 Deployment Profiles¶

31.22.1 Single-Device Local Profile¶

Includes:

local client
Executive Controller
local Semantic Core or ELM
local GAML
private capability connectors
local Tool Intermediary
optional human-readable vault
no public swarm requirement

31.22.2 Personal Multi-Device Profile¶

Adds:

encrypted private-memory synchronization
trusted-device identity
private capability grants
device revocation
user-private forecast model

31.22.3 Private Enterprise Profile¶

Includes:

enterprise identity and policy
private GAML nodes
private ELMs
enterprise connectors
private capability registry
isolated Tool Intermediary
tenant-specific observability
optional private GNUS subnet

31.22.4 Public GNUS Swarm Profile¶

Includes:

public request and processing queues
distributed Semantic Core and ELM workers
EIS
reputation and consensus
settlement
public artifact distribution
no access to private memory without explicit protected routing

31.22.5 Hybrid Profile¶

Includes:

private memory and connectors
local or private context assembly
sanitized or abstracted public swarm tasks
private final synthesis
explicit privacy and attestation boundaries

31.22.6 Dedicated Tool Intermediary Profile¶

Includes:

isolated sandbox service
credential broker
capability enforcement
approval service
attestation signer
no general expert execution

31.22.7 Dedicated Verification and EIS Profile¶

Includes:

verifier services
checkpoint calibration
spot-check execution
fraud verdict generation
reputation evidence publication

31.23 Logical Workstreams and Package Boundaries¶

Initial logical workstreams should be:

Core Contracts and Schemas
Executive Control and Orchestration
Semantic Core and Expert Runtime
GAML and Private Memory
Objective Memory and VTG
Grounding, Verification, and Arbitration
Execution Integrity System
Capability System and Connectors
Secure Tool Intermediary
Local Cognitive Second Brain
API Router and Job Queue
Distributed GNUS Infrastructure
Reputation and Consensus
Forecast-Driven Cognition
EGGROLL and Learning
Security and Privacy
User and Operator Interfaces
Observability and Evaluation

These should begin as logical packages inside a manageable repository structure.

A workstream should become a separate repository only when it has a materially independent:

deployment lifecycle
trust boundary
release cadence
ownership group
runtime language
security profile
reuse requirement

Premature repository fragmentation should be avoided.

31.24 Recommended Delivery Sequence¶

31.24.1 Milestone 0 — Contracts and Security Boundaries¶

Deliver:

canonical schemas
identity context
privacy envelope
execution plan
Cognitive Asset schema
capability contract
tool proposal and attestation
execution contract and claim
signed audit events

31.24.2 Milestone 1 — Local Cognitive Baseline¶

Deliver:

local ingress
Executive Controller
Router and Planner baseline
Semantic Core runtime
local GAML store
Memory Governor
local response synthesis
basic observability

31.24.3 Milestone 2 — Private Memory and Second Brain¶

Deliver:

private-memory scopes
local source ingestion
entity resolution
memory write gate
local email, calendar, files, and vault connectors
meeting preparation
daily brief
human-readable memory mirror

31.24.4 Milestone 3 — Capability System and Secure Tool Path¶

Deliver:

capability and connector registries
MCP and OpenAPI adapters
contract translation and validation
credential broker
dry-run sandbox
approval flow
sanitization
signed tool attestations

31.24.5 Milestone 4 — Verification and Distributed Execution¶

Deliver:

verifier and arbiter services
grounding
API request jobs
processing jobs
GNUS worker registration
reputation-weighted consensus
multi-node execution

31.24.6 Milestone 5 — Execution Integrity¶

Deliver:

execution contracts
kernel registry
checkpoint calibration
claim collection
spot checking
fraud verdicts
reputation integration

31.24.7 Milestone 6 — VTG, Forecasting, and Learning¶

Deliver:

VTG state and edge store
candidate frontier
ACE
CES
Personal Forecast Model
EGGROLL learning signals
promotion and rollback gates

31.24.8 Milestone 7 — Ecosystem Hardening¶

Deliver:

connector catalog
enterprise deployment profiles
public capability exposure
comprehensive security testing
quality and performance benchmarks
operational dashboards
documentation and developer SDKs

31.25 Validation and Test Inventory¶

31.25.1 Unit Tests¶

Required for:

schema validation
policy evaluation
privacy filtering
memory scoring
capability enforcement
sanitizer behavior
attestation verification
VTG compatibility
EIS calibration logic
queue and lock behavior

31.25.2 Integration Tests¶

Required paths include:

request → memory → model → synthesis
request → capability → dry run → approval → execution → attestation
request → private memory → local ELM → private response
API request → GCS job → worker → stream → response
distributed task → EIS claim → spot check → verdict
memory write → replication → retrieval → revocation
forecast → prefetch → confirmed use or cancellation

31.25.3 Security Tests¶

Required scenarios include:

HTML prompt injection
PDF hidden layers
zero-width instructions
encoded payloads
malicious MCP tool descriptions
connector manifest drift
credential exfiltration
unauthorized filesystem access
SSRF
cross-tenant memory access
private embedding leakage
forged tool attestations
forged EIS claims
capability escalation
memory poisoning
training-data contamination

31.25.4 Privacy Tests¶

Required assertions include:

local-only assets never leave the device
user-private assets replicate only to trusted devices
enterprise assets never enter public swarm context
derived artifacts inherit privacy
revocation removes indexes and cached projections
public workers cannot infer raw private entity identities from context packets
private memory does not enter training without authorization

31.25.5 Reliability Tests¶

Required scenarios include:

worker loss
intermediary loss
verifier timeout
connector failure
stale lock
CRDT conflict
model artifact mismatch
queue replay
network partition
duplicate tool invocation
partial execution completion

31.25.6 Performance Tests¶

Measure:

request latency p50 and p95
memory retrieval latency
model warm and cold starts
tool-intermediary overhead
distributed dispatch overhead
EIS verification overhead
forecast latency savings
VTG hit rate and savings
private-memory synchronization cost

31.25.7 Quality Evaluation¶

Measure:

answer quality
factual grounding
code correctness
routing quality
specialist win rate
contradiction detection
memory usefulness
memory contamination
tool completion rate
arbitration quality
forecast precision and waste
user correction rate

31.26 Component Definition of Done¶

A production component is not complete until it has:

a stable identity and owner
a versioned interface
validated input and output schemas
declared trust tier
declared privacy behavior
declared capabilities
default-deny security policy
unit and integration tests
failure and retry behavior
observability events
performance targets
deployment documentation
configuration documentation
upgrade and rollback procedure
security review
privacy review
benchmark or acceptance criteria
operational runbook

A model-backed component also requires:

evaluation dataset
baseline comparison
prompt or policy versioning
model and adapter identity
confidence and uncertainty behavior
regression tests
promotion criteria
rollback criteria

A connector also requires:

provider identity
canonical capability contracts
permission and data classifications
authentication and revocation behavior
sandbox policy
drift detection
health monitoring
test or mock implementation

31.27 Summary¶

The GeniusCognitiveSystem implementation is not a single model, agent, database, or protocol.

It is a governed cognitive runtime composed of:

Executive Control
+ Semantic Core and ELMs
+ GAML and Private Memory
+ Objective Memory and VTG
+ Forecast-Driven Cognition
+ Capability Discovery and Governance
+ Secure Tool Intermediation
+ Grounding and Verification
+ Epistemic Arbitration and Synthesis
+ Execution Integrity
+ Reputation and Consensus
+ Distributed GNUS Infrastructure
+ EGGROLL Adaptation
+ Human Inspection and Approval

The principal implementation rules are:

Use deterministic services for authority and security.
Use agents for bounded interpretation and proposal generation.
Treat memory privacy and memory trust as separate dimensions.
Treat connectors as transport implementations, not sources of authority.
Translate every external operation into a canonical capability contract.
Route every side effect through the Tool Intermediary.
Treat tool outputs as untrusted until sanitized and attested.
Keep EIS execution honesty separate from semantic answer quality.
Keep speculative forecasts separate from durable memory.
Preserve provenance, inspectability, revocation, and human control throughout the system.

This inventory provides the implementation map for decomposing GCS into buildable workstreams while preserving one coherent cognitive architecture.