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.
- GitHub stars
- 497
- License
- Apache-2.0
- Added
- 2026-02-20
GitHub info
- GitHub stars
- 497
- License
- Apache-2.0
- Primary language
- Go
- Last push
- Aug 19, 2026, 2:43 PM
- Maintainer
- mnemon-dev
- Added
- 2026-02-20
Preview from README
Screenshots and GIFs extracted from the repository README (badges and avatars filtered out).
Knowledge Graph — 87 insights connected by temporal, entity, semantic, and causal edges
https://raw.githubusercontent.com/mnemon-dev/mnemon/master/docs/diagrams/10-knowledge-graph.jpg
LLM-Supervised Architecture — three patterns compared, with Mnemon hooks, protocol boundary, and deterministic memory engine
https://raw.githubusercontent.com/mnemon-dev/mnemon/master/docs/diagrams/llm-supervised-concept.jpg
Install
dsh plugin --profile web add github:mnemon-dev/mnemonTags
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