mnemon
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.
Not yet testedsource: GitHubhomepageGoApache-2.0commit e9ce9945b12f
Go, Apache-2.0 licensed. The project labels itself: agent framework, agent memory, ai agent, ai tools, claude, claude code, cli and context window.
mnemon has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
agent-frameworkagent-memoryai-agentai-toolsclaudeclaude-codeclicontext-windowdshdsh-pluginknowledge-graphllm-agentllm-memoryllm-supervisedmemoryopenclawpersistent-memory
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Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/mnemon)Questions
- Does mnemon run?
- mnemon has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test mnemon?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for mnemon?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.