Hey r/selfhosted,

I recently pushed a major update to Atom (https://github.com/rush86999/atom), an open-source, self-hosted AI automation platform.

I originally started building this because while single-agent local runtimes like OpenClaw are fantastic for personal tasks and smart home control, I hit a wall trying to automate business operations over at brennan.ca. I needed true multi-agent workflows, real audit trails, and most importantly, governance. An AI agent shouldn't have root access to a production database on day one.

To solve this, I've integrated a few core architectural features that differentiate it:

???? Episodic Memory (PostgreSQL + LanceDB)

Most agents use flat markdown files for context, which scales poorly. Atom utilizes a hybrid memory system: PostgreSQL (I run my instances on Neon) handles the hot state, while LanceDB vectorizes cold "Episodic Memory" snapshots.

????️ Canvas AI Accessibility

How does it generate those memory snapshots? I built a hidden semantic layer into the Canvas UI. It functions like a screen reader specifically designed for the LLM's internal cortex. Instead of firing commands into the void and hoping the application state changed, the agent "reads" the hidden logical tree of the UI to ground itself visually, storing that exact visual outcome in LanceDB.

????️ 4-Tier Governance & Graduation System

Atom implements a strict maturity model: Student → Intern → Supervised → Autonomous. New agents start as Students. They are sandboxed and must pass a 6-component Readiness Score (factoring in intervention rates, success rates, and constitutional compliance) before promotion. Individual capabilities also follow a strict 5/20/50 rule, requiring 50 successful supervised executions before autonomous use is unlocked.

????️ Python-First Architecture

The backend is Python 3.11/FastAPI (vs. OpenClaw's Node.js), supporting 350K+ PyPI packages with enterprise-grade vulnerability scanning (pip-audit, Safety) out of the box. The entire stack containerizes beautifully for deployment on your own bare metal or edge hosts like Fly.io. Building this out was heavily accelerated using agentic IDEs like Cursor and Claude Code, which fits right into the ethos of the project.

I view Atom and OpenClaw as highly complementary parts of the ecosystem. OpenClaw is brilliant for rapid personal prototyping. Atom is the "Business Class" equivalent designed for state-heavy workflows where safety, memory, and maturity matter.

I'd love for this community to tear into the code or test out the local deployment. Let me know what you think of the graduation formulas!

Repo:https://github.com/rush86999/atom