The task tracker your AI agents keep for each other: every task carries a case file, so the next agent picks up where the last one stopped. MCP server + live board. Self-hosted, one-line install.
The task tracker your AI agents keep for each other.
Every task carries a case file — decisions, failed attempts, findings, open questions — so the next agent, with a fresh context and zero memory, picks up exactly where the last one stopped. You watch it all on a live board.
All you need is Docker. The board opens at http://localhost:8080, and the installer prints the one command that connects your agent. Casefile updates itself every time Docker starts.
Or let your agent do it. Paste this into Claude Code, Codex or Cursor:
Install Casefile for me by following https://raw.githubusercontent.com/azimov777/casefile/main/docs/agent-install.md
Agents are smart, but they forget. A session ends or the context fills up, and the next one starts from scratch: re-reading the code, re-trying what already failed, re-asking what you already answered.
Casefile gives every task a case file — an append-only log the agent writes as it works.
- Hand-offs that survive a fresh context. The next agent reads the latest summary, the open questions and an index of the case, then carries on. No re-discovery. - Built for agents, over MCP. Agents create and split tasks, record decisions and dead ends, ask you questions, and close with a verdict on every check. - You stay in the loop. A live board and task pages show what every agent is doing. Answer questions, leave remarks and hand each agent its own access — right from the browser. - Guardrails, not bureaucracy. No closing without a summary and a passed verdict per check; no starting a blocked task. Nothing else — no sprints, no estimates, n
From the project README.
Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:
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