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Teaching My AI Agents to Push Back: Why I Built RoBrain

DEV Community·Adeline·18 days ago
#KV6m6cKL
#ai#opensource#agents#software#memory#robrain
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Claude Code’s auto-memory is a game-changer for solo coding, but it hits a wall the second you add a teammate. Memory is trapped in local files (e.g., ~/.claude/projects/.../memory/), meaning my agent is oblivious to what my teammate's agent has learned. Furthermore, if she switches to Cursor or Copilot, that knowledge silo becomes even deeper. To solve this, I built RoBrain—a shared institutional memory for AI teams. It keeps the "passive capture" magic (no manual note-taking required) but moves the storage to a shared Postgres instance accessible via MCP, working seamlessly across Claude Code, Cursor, and Copilot. Capturing the "Why Not": The rejected[] Field Most memory systems only record what you did. RoBrain records what you ruled out.…

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