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LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.

项目介绍

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. Single binary, zero API keys, one setup command.

Experimental beta: this repository also includes mnemon-harness, a source-built beta for project-local host-agent lifecycle state. It is separate from the stable mnemon CLI, not production-ready, and may make breaking changes at any time. See…

摘自 github.com/mnemon-dev/mnemon

最新指标

Star 572 2026-09-12
Fork 68 2026-09-12
提交 1.4k 2026-09-12
发布 27 2026-09-12
Watcher 2 2026-09-12
开放 issue 7 2026-09-12
开放 PR 4 2026-09-12