by adelinamart · Agent Tool · ★ 70
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
RoBrain 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. What it is 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 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.
| Stars | 70 |
| Forks | 4 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 66.9535349199933/100 |
| Last Updated | 2026-06-11 |
| Created | 2026-05-04 |
| Platforms | claude-code, node |
| Est. Tokens | ~68k |
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robrain is Shared memory across your team and your AI agents — with judgment about what's worth keeping.. It is categorized as a Agent Tool with 70 GitHub stars.
robrain is primarily written in TypeScript. It covers topics such as agent, ai-agents, claude-code.
You can find installation instructions and usage details in the robrain GitHub repository at github.com/adelinamart/robrain. The project has 70 stars and 4 forks, indicating an active community.
The top alternatives to robrain on Agent Skills Hub include omni, agnix, forgetful. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.