ATLAS v0.3.0
First public release.
ATLAS is a multi-team AI agent system: an orchestrator routes goals to specialist teams, a Critic verifies every result before completion, three memory tiers (episodic SQLite ledger, semantic store, versioned skill playbooks) make it compound over time, and destructive host actions are human-approval-gated in code. Ships with a live Next.js dashboard, a typed CLI, three interchangeable providers (Claude Agent SDK / LangGraph / Ollama), an eval harness in CI, and ready-to-load ComfyUI + TouchDesigner workflows for generative-AI lab work on a 10 GB VRAM budget.
Highlights of this release:
- 55-test suite (unit, integration, API+WebSocket, CLI, full e2e) — mypy strict, ruff, evals all gating CI
- Crash-supervised task runs: provider failures escalate cleanly, never orphan a task
- Non-blocking local inference (Ollama) — the dashboard stays live during generation
- Real screenshots in the README from a fully local, zero-cloud run
- Docs: architecture, data models, operations manual, version matrix, honest requirements audit, security policy
See CHANGELOG.md for the full history.