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

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
612
forks
74
open issues
8
watchers
2
size
15 MB
created
last push

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

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/mnemon.svg)](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.

Discussion