The audited scope supports the stated mechanism on a startup or main path.
It does not mean: Complete, mature, safe, production-ready, or universally enforced.
Status & About / Evidence snapshot
AdamI is an early experimental system. This ledger separates what the supplied static code audit supports from what remains incomplete or open.
Implemented does not mean complete, mature, safe, or production-ready.
01 / Vocabulary
The same three signals recur across Architecture and this ledger. Each combines text, shape, and color; no category depends on color alone.
It does not mean: Complete, mature, safe, production-ready, or universally enforced.
It does not mean: A reliable end-to-end capability.
It does not mean: A roadmap promise or an implemented feature.
02 / Public ledger
Every row names a narrow statement, its evidence basis, and any caveat whose omission would make the claim misleading.
Narrow behaviors supported by the audited startup or main paths. These are mechanism claims—not declarations of broad capability.
AdamiKernel delegates component initialization, boot orchestration, and lifecycle management to explicit core components.
Audited startup and core lifecycle path.
TaskQueueStore persists pending and in-progress tasks with capacity and TTL controls.
Audited TaskQueueStore implementation and lifecycle usage.
AdamiEvent instances can enter system.events and non-empty task payloads are consumed by LifecycleManager under bounded concurrency.
Boundary: This describes an event-ingress mechanism, not human-like perception.
Audited EventBus, AdamiEvent, and LifecycleManager consumer path.
SemanticIntentRouter applies ordered rules before using an action-model fallback for ambiguous routing.
Audited route_task funnel and downstream DecisionProcessor branches.
HybridLLMRouter maintains separate think and action provider paths with cloud-to-local fallback behavior.
Boundary: The separation is a routing and resource boundary, not evidence of two autonomous minds.
Audited HybridLLMRouter provider lists and fallback path.
Complex-task paths can invoke TaskPlanner, WorkflowEngine, and SkillComposer mechanisms.
Boundary: This does not establish open-ended or unsupervised agency.
Audited DecisionProcessor complex-task branch and orchestrator modules.
LayeredMemory, SecondBrainManager, SubconsciousRAG, and EpisodicMemory mechanisms exist in the audited codebase.
Boundary: Module implementation does not prove a complete memory consolidation and forgetting lifecycle.
Audited hippocampus modules and component structure.
ExperienceSink records LLM and tool interaction streams as raw experience material.
Boundary: Captured experience is not automatically useful memory or learning.
Audited telemetry ExperienceSink.
The codebase includes skill routing, loading, factory, lifecycle, SKILL.md import, and vector-storage mechanisms.
Boundary: This does not establish autonomous durable skill improvement.
Audited skill_manager package and Chroma-backed vector store.
Timeout handling, RBAC, token-bucket limiting, local secret storage, filtering, policy loading, and telemetry redaction mechanisms exist.
Boundary: The audit does not establish universal enforcement or a complete safety proof.
Audited Guardian, policy, and redacting-export components.
The audited scope includes channel adapters, scheduling, reporting, a skill market, a web console, and MCP management mechanisms.
Boundary: Individual integrations retain dependency and provider-specific limits.
Audited Nexus, Peripheral, Market, Web, and MCP modules.
Timeout budgets, OpenTelemetry setup and fallbacks, redacted export, golden capture, replay, and evaluation CLIs exist.
Boundary: Observability mechanisms are not proof that all behavior is correct or all tests are stable.
Audited observability, web/otel, and integration/sim paths.
Code that exists but retains wiring, dependency, default, compatibility, provider, or test-evidence limits.
The main decision component contains production behavior alongside simulation and golden-trace-specific hard-coded branches.
Static audit of DecisionProcessor branch structure.
SystemDiagnostics.perform_startup_check exists but is not called by the audited boot path.
Boundary: It also checks attributes that ComponentInitializer does not create.
Static call-site and component-initializer audit.
A fourth-stage json_repair fallback is probed by the parser, but the package is not declared as a required project dependency.
Parser and pyproject dependency comparison.
Document, visual, and audio paths exist but depend on optional packages and include a fragile top-level transformers import.
Boundary: Without torch, visual behavior is limited; without transformers, module import may fail.
Audited multi_modal module and dependency declarations.
MetaCortex and related classes exist, but the audit does not establish a complete long-term goal mechanism.
Boundary: The audited implementation depends on curiosity-related elements whose runtime wiring is not established.
Static module and dependency audit.
SkillBuilder contains explicit TODOs for TDD Generator and SelfTestRunner integration.
Explicit TODOs in the audited SkillBuilder source.
Some generated-skill acceptance paths depend on expected skill files being present in repository or runtime data directories.
Audited runtime-skill file dependency.
MLX support is present but disabled by default and limited to enabled Darwin environments.
Audited settings defaults and HybridLLMRouter environment checks.
Registered external tools use a generic execution route while built-in tools use separate methods and schemas are not fully unified.
Audited ToolboxManager routes and source comments.
MCP management and an optional mcp-agent integration exist, but some configured provider paths are not implemented.
Audited MCP manager and mcp-agent configuration.
The static audit does not establish that the complete test suite is consistently green across execution order and environments.
Audit limitation and recorded order-dependent failure history.
Questions and hypotheses that remain outside current AdamI capability claims. They are not roadmap promises.
Whether a persistent artificial architecture could develop these properties remains an open research question.
Explicitly outside current AdamI capability claims.
Robust self-generated drives and durable goals are research directions, not verified present capabilities.
Not established by the audited runtime path.
A module name does not establish a mature self-model that persists coherently and governs future behavior.
Broader property not established by the static audit.
Open-ended, unsupervised action over long horizons remains a research direction.
Not established by implemented planning and workflow mechanisms.
A complete experience-to-evaluation-to-consolidation-or-forgetting-to-retrieval loop remains unverified.
The audit verifies modules and capture, not the complete consequential lifecycle.
Durable capability improvement produced reliably from experience remains an open research direction.
Not established by skill-generation and lifecycle machinery alone.
AdamI maintaining or publishing the public website is a future possibility, not a current capability.
Explicitly identified as a future possibility in the project brief.
Architectures unlike biological cognition may be explored, but parallel cognition is not an achieved AdamI capability.
Conceptual hypothesis only.
03 / Provenance
The supplied whitepaper reports a scan of the AdamI source tree, package configuration, vNext roadmap, entry points, and selected critical test bypasses. It records package version 0.1.0 and engineering maturity Level 1.
Promoting a claim requires a newer code audit or direct code verification—not an updated interface.
04 / About the experiment
The first AdamI architecture attempted bottom-up biological simulation: components were arranged in the hope that sufficiently complex interactions would produce life-like behavior.
After apparent progress, a manual audit found placeholders, output scaffolding, and superficial simulations that had been mistaken for functioning mechanisms. That architecture was abandoned rather than dressed up.
The second architecture starts from functional requirements: lifecycle, events, cognition, memory, skills, task execution, persistence, safety, observability, and resilience. Some mechanisms now exist; broader “Digital Life” properties remain research questions.
“A convincing output is not evidence of a functioning system.”
05 / Public boundary
The public website explains the project. It is not the AdamI runtime and has no route to private system state.
Discovery, discussion, and ongoing public-building updates. A verified profile link will appear only when configured.
The durable, structured public home for architecture, evidence, project framing, and—later—the development archive.
The private experimental system. No secrets, memory stores, internal controls, privileged APIs, or autonomous actions are exposed here.
Trace the mechanisms