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Artificial Cognitive Architecture (ACA)
ACA is an experimental cognitive-architecture prototype. It has now been run through practical testing and passes many mechanical checks, including focused regression tests around its loop, memory, tier routing, and store behavior.
This repository is being made public for educational purposes: to show the shape of the experiment, the engineering tradeoffs, and the lessons learned while building it.
Current Status
This build should be read as a tested research prototype, not a finished production system. While many mechanical checks pass, some real-world systems require more architectural complexity than this version currently carries. That additional complexity is being addressed in a new build.
In particular, expect rough edges around scale, long-running operation, model orchestration, external service integration, and operational hardening. The source is useful for study, comparison, and experimentation, but it should not be treated as a drop-in autonomous agent platform.
Running Locally
With Rust installed:
cargo test
cargo run -p omega-acad
The daemon can run with no model endpoints configured. In that mode it creates a fresh local database and uses fallback behavior where possible, which is useful for inspecting startup and the API surface before wiring in local or hosted model services.
Optional integrations, such as voice, video, Ollama-compatible endpoints, OpenAI-compatible endpoints, and the Godot visualization, are configured through environment variables.
Artificial-Cognitive-Architecture-Omega-Gen2
A different kind of LLM, evolved.
Omega Cognitive Cluster Skeleton
Milestone 1 lives in crates/omega-cluster. It provides the v0.1 cognitive
protocol, OCL operation vocabulary, shared cognitive state, HTTP processor
registry/client, mock executive/attention/memory services, and a runtime demo
that drives a cognitive event to WAIT.
Run the skeleton demo:
cargo run -p omega-cluster --bin omega-cluster-demo
Run the persistent runtime workbench:
cargo run -p omega-cluster --bin omega-runtime -- "new observation for Omega"
That command writes inspectable state and trace files under dist/omega-cluster.
Inspect the trace:
cargo run -p omega-cluster --bin omega-trace
Check configured processor health/capabilities:
cargo run -p omega-cluster --bin omega-cluster-check
Run the focused tests:
cargo test -p omega-cluster
Run one mock processor as an independent service:
$env:OMEGA_PROCESSOR="attention"
$env:OMEGA_PROCESSOR_PORT="9102"
cargo run -p omega-cluster --bin omega-mock-processor
Run the whole mock cluster as long-lived services:
cargo run -p omega-cluster --bin omega-mock-cluster
Milestone 2 research notes are in research/integration-audit.md.
Downloaded research model/data artifacts are documented in models/README.md
and validated in models/research-artifacts.json.
The event-driven cognitive substrate and its current implementation boundaries
are documented in docs/event-driven-cognitive-substrate.md.
Similar repos
See what people are saying
README
Artificial Cognitive Architecture (ACA)
ACA is an experimental cognitive-architecture prototype. It has now been run through practical testing and passes many mechanical checks, including focused regression tests around its loop, memory, tier routing, and store behavior.
This repository is being made public for educational purposes: to show the shape of the experiment, the engineering tradeoffs, and the lessons learned while building it.
Current Status
This build should be read as a tested research prototype, not a finished production system. While many mechanical checks pass, some real-world systems require more architectural complexity than this version currently carries. That additional complexity is being addressed in a new build.
In particular, expect rough edges around scale, long-running operation, model orchestration, external service integration, and operational hardening. The source is useful for study, comparison, and experimentation, but it should not be treated as a drop-in autonomous agent platform.
Running Locally
With Rust installed:
cargo test
cargo run -p omega-acad
The daemon can run with no model endpoints configured. In that mode it creates a fresh local database and uses fallback behavior where possible, which is useful for inspecting startup and the API surface before wiring in local or hosted model services.
Optional integrations, such as voice, video, Ollama-compatible endpoints, OpenAI-compatible endpoints, and the Godot visualization, are configured through environment variables.
Artificial-Cognitive-Architecture-Omega-Gen2
A different kind of LLM, evolved.
Omega Cognitive Cluster Skeleton
Milestone 1 lives in crates/omega-cluster. It provides the v0.1 cognitive
protocol, OCL operation vocabulary, shared cognitive state, HTTP processor
registry/client, mock executive/attention/memory services, and a runtime demo
that drives a cognitive event to WAIT.
Run the skeleton demo:
cargo run -p omega-cluster --bin omega-cluster-demo
Run the persistent runtime workbench:
cargo run -p omega-cluster --bin omega-runtime -- "new observation for Omega"
That command writes inspectable state and trace files under dist/omega-cluster.
Inspect the trace:
cargo run -p omega-cluster --bin omega-trace
Check configured processor health/capabilities:
cargo run -p omega-cluster --bin omega-cluster-check
Run the focused tests:
cargo test -p omega-cluster
Run one mock processor as an independent service:
$env:OMEGA_PROCESSOR="attention"
$env:OMEGA_PROCESSOR_PORT="9102"
cargo run -p omega-cluster --bin omega-mock-processor
Run the whole mock cluster as long-lived services:
cargo run -p omega-cluster --bin omega-mock-cluster
Milestone 2 research notes are in research/integration-audit.md.
Downloaded research model/data artifacts are documented in models/README.md
and validated in models/research-artifacts.json.
The event-driven cognitive substrate and its current implementation boundaries
are documented in docs/event-driven-cognitive-substrate.md.