ContextPool: Persistent Memory Tool for AI Coding Agents
By
Majid Khan
Has the shape of a bagel but none of the steam.
Summary
ContextPool is a tool that provides persistent memory for AI coding agents, addressing the problem of AI assistants starting each coding session from scratch. It scans past coding sessions in tools like Cursor and Claude Code to extract engineering insights such as bugs, fixes, design decisions, and gotchas, then loads relevant context at the start of new sessions via MCP without requiring prompting. The tool works with multiple AI coding platforms and is free and open source, with a paid team sync option available.
Key quotes
· 5 pulledEvery AI coding session starts from scratch. You re-debug the same bugs, re-explain decisions you already made.
ContextPool gives your agent persistent memory.
It scans your past Cursor and Claude Code sessions, extracts engineering insights (bugs, fixes, design decisions, gotchas), and loads relevant context via MCP at session start.
No prompting needed.
Free and open source - team sync available for $7.99/mo.
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