mnemon

项目详情摘要

Mnemon English · 中文 LLM-supervised persistent memory for AI agents. LLM agents forget everything between sessions. Context compaction drops critical decisions, cross-session knowledge vanishes, and long conversations push early information out of the window. Mnemon gives your agent persistent, cross-session memory — a four-graph knowledge store with intent-aware recall, importance decay, and automatic deduplication. The `mnemon` memory path remains one local binary with zero API keys and one setup command. Mnemon ships one executable with two separate surfaces. Memory stays at the `mnemon` root; Agency Preview lives at `mnemon agency ...` and adds durable, project-local responsibility and effect admission to an existing Pi agent. Agency does not replace Memory or the Agent Runtime. **Claude Max / Pro subscriber?** Mnemon works entirely through your existing subscription — no separate API key required. Your LLM subscription *is* the intelligence layer. Two commands and you're done. Why Mnemon? Most memory tools embed their own LLM inside the pipeline. Mnemon takes a different approach: **your host LLM is the supervisor.** The binary handles deterministic computation (storage, graph indexing, search, decay); the LLM makes judgment calls (what to remember, how to link, when to forget). No middleman, no extra inference cost. Pattern | LLM Role | Representative | **LLM-Embedded** | Executor inside the pipeline | Mem0, Letta | **File Injection** | None — reads file at session start | Claude Code Memory | **MCP Server** | Tool provider via MCP protocol | claude-mem | **LLM-Supervised** | External supervisor of a standalone binary | **Mnemon** | Mnemon also addresses a gap in the protocol stack. MCP standardizes how LLMs discover and invoke tools. ODBC/JDBC standardizes how app