agent-recall — Cursor AI Agent
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    agent-recall

    agent-recall

    mnardit February 15, 2026
    10 copies 0 downloads

    Persistent memory for AI coding agents. SQLite-backed knowledge graph with MCP server.

    agent-recall

    Tests PyPI License: MIT Python 3.10+

    Persistent memory for AI coding agents. Your agent forgets everything between sessions — names, decisions, preferences, context. agent-recall fixes this.

    Built from production: extracted from a real system running 30+ concurrent AI agents at a digital agency. Not a prototype — every feature exists because something broke in production.

    Before:  "Who is Alice?" (every single session)
    After:   Agent starts with: "Alice — Lead Engineer at Acme, prefers async,
             last discussed the API migration on Feb 12"
    

    MCP-native — designed for MCP-compatible clients. Tested configs included for Claude Code, Cursor, Windsurf, and Cline. Battle-tested daily with Claude Code (30+ agents in production). PRs and issue reports welcome!

    Why agent-recall?

    Other memory solutions exist (Mem0, Zep/Graphiti, LangMem). Here's what makes agent-recall different:

    • Scope hierarchy — not flat memory. The same person can have different roles in different projects. agent-recall is built around scope chains with inheritance — designed for agents working across multiple clients, projects, and nested contexts.
    • AI briefings — raw data dumps don't work. agent-recall uses an LLM to summarize hundreds of facts into structured, actionable context injected at session start.
    • Local-first — single SQLite file. No cloud, no vector DB, no Docker, no Neo4j. Your data stays on your machine.
    • MCP-native — 9 memory tools with proactive-saving instructions. Teste

    Tags

    agentsaiclaude-codecoding-agentscursorknowledge-graphmcpmemorysqlitewindsurf

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