Shared memory across your team and your AI agents — with judgment about what's worth keeping.

RoBrain isn't just another memory layer — it's the brain that helps you and your agents make better decisions and avoid costly mistakes.

Self-hosted on your own Postgres. Passive capture, structured vetoes, corpus-wide contradiction scans — nothing leaves your machine. Works with Claude Code, Cursor, GitHub Copilot (VS Code), and Codex CLI.

RoBrain records what your team and its agents decide — and the alternatives they ruled out — without anyone tagging anything by hand. Sensing captures session turns; Perception extracts each decision into Postgres, where every row can carry a structured rejected[] field.

Most agent-memory tools stop at capture: they store what happened and hope you query it later. RoBrain adds judgment. Batch Synthesis reads the whole corpus to flag contradictions, stance drift, and recurring entities that no single session could see.

The point is the handoff. Someone makes a deliberate call in Cursor on Tuesday — say, keeping Perception on Hono instead of porting to Express. A new teammate opens Claude Code on Wednesday with no memory of it and asks to make exactly that change. RoBrain surfaces the recorded rationale before the agent steers down a path you already rejected — same Postgres store, same vetoes, captured passively.

The cost of forgetting a rejection isn't inefficiency. It's the auth bypass you already patched, the migration you already rolled back, the dependency you already removed for a CVE — re-suggested by an agent with no memory of why you said no.

Coding is the first vertical because the feedback loops are tight — reverts, incidents, and rework make the cost of a forgotten rejection measurable. The same architecture applies wherever agents make decisions that outlast a session.

How it works, the two pillars (capture + judgment), and the full walkthrough: docs/concepts.md.

First pnpm docker:up auto-creates .env and fills PERCEPTION_API_KEY / POSTGRES_PASSWORD. Perception still needs your LLM + embedding keys before it stays up.

git clone https://github.com/adelinamart/robrain
cd robrain
pnpm install && pnpm build
pnpm docker:up                 # first run: creates .env; Perception won't start yet
# open .env, add ANTHROPIC_API_KEY + your embedding key (e.g. OPENAI_API_KEY)
pnpm docker:up                 # second run: Perception now boots
npx robrain install --self-hosted --repo-root "$(pwd)"

OpenAI-only: set LLM_PROVIDER=openai and OPENAI_API_KEY instead of Anthropic — see Concepts — Prefer not to use Anthropic.

Upgrading on a new release, from your robrain clone: git pull → pnpm install && pnpm build → pnpm docker:up:build → npx robrain install --self-hosted --repo-root "$(pwd)" → fully restart editors. Full checklist: CLI reference — Upgrading.

# Wire capture into an application project (run inside the repo)
cd /path/to/your/project
npx robrain init-project          # writes CLAUDE.md, AGENTS.md, .cursor/rules/robrain.mdc

# Capture and recall are automatic from here:
#   - every session turn is classified, no tagging
#   - prior decisions load at session start via the always-on summary

# Explain any file's decision history
npx robrain explain path/to/file

# Run corpus judgment (manual, or add to cron)
npx robrain synth                 # drift, contradictions, entity promotion
npx robrain review                # inspect / approve captured rows

After init-project, every repo gets CLAUDE.md and AGENTS.md (Codex CLI), and Cursor also gets .cursor/rules/robrain.mdc with alwaysApply: true. If captures don't land: Troubleshooting.

Synthesis runs three passes over the full decisions table — drift (stance moving without an explicit reversal), contradictions (incompatible decisions from different sessions), and entity promotion (recurring tools/patterns condensed into planning_blocks). It writes flags and edges into your DB; it does not capture new decisions — it judges the corpus you already have.

pnpm synthesis:build && pnpm synthesis:run
# or: npx robrain synth

Review what it finds with npx robrain review. Deep dive (three passes, cron, env vars): Concepts — Synthesis.

One cross-tool setup covers Claude Code, Cursor, GitHub Copilot (VS Code), and Codex CLI against the same Postgres store. The classifier LLM is your choice — Anthropic Haiku or OpenAI. Decisions carry a lifecycle (active / superseded / invalidated) and a graph (conflicts_with / extends / related_to).

Decision ledger for git (opt-in):

npx robrain export-memory --ledger
# custom path: npx robrain export-memory --ledger docs/decisions.md

Versus Mem0, Cloudflare Agent Memory, and Claude Code Auto-Memory: only RoBrain stores rejected alternatives as structured fields and runs scheduled corpus-wide contradiction scans. Full comparison →

Self-hosted gives capture, judgment batch jobs, and session-start recall; you pull focused context with inject when needed. Cloud adds Planning + Control so vetoes and conflicts surface before the agent acts. Details: Concepts — Free / self-hosted vs Rory Plans cloud.

Connecting decisions to outcomes (reverts, incidents, cycle time) so RoBrain can surface when a team is optimizing for the wrong thing in its own codebase.

• Docker + Docker Compose (runs Postgres and Perception locally)
• Node.js with pnpm (build and CLI)
• An LLM key for the classifier — Anthropic Haiku or OpenAI
• An embedding key (e.g. OpenAI)
• No data leaves your machine in self-hosted mode

• Concepts (how it works, two pillars, Synthesis, comparisons) → docs/concepts.md
• CLI reference (explain, install, upgrading, editor setup, full command table) → docs/cli.md
• Troubleshooting (silent 401s, Docker rebuilds, stale summaries) → docs/troubleshooting.md

Apache 2.0. PRs welcome for extraction accuracy, new editor integrations, and embedding providers. See Concepts — Reference for tradeoffs and schema.

Apache 2.0 — see LICENSE

Built by Rory Plans