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I built this because I was tired of my AI assistant forgetting everything. Every new session was a blank slate — same bugs debugged twice, same preferences re-explained, same context rebuilt from scratch. The existing solutions either needed a vector database (too heavy) or just wrote to flat files (no search). I wanted something in between: structured, searchable, instant, and local....
agent-recallPersistent memory for AI coding tools. One command.
agent-recall gives AI coding tools persistent memory via MCP. Run npx agent-recall and your assistant gets tools to remember, recall, search, and forget.
No vector DB, no cloud — just SQLite + FTS5, locally. Token-budgeted recall fits relevant memories to your context window. Knowledge packs install domain expertise in one command. Session handoff preserves state between conversations.
Built by an AI agent for its own workflow, then packaged for everyone.
agent-recallPersistent memory for AI coding tools. One command.
