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
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Use cases
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About Mnemon
Mnemon is listed in our agent infra category and is aimed at builders. 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 Pricing, as the maker states it: Open source + cloud. Maturity: Active. We last checked the official link on 2026-10-28.
Mnemon at a glance
- Category: Agent infra
- Built for: Developers and teams building with AI agents
- Pricing: Open source + cloud (as the maker states it)
- GitHub: mnemon-dev/mnemon · 669 stars (as of Oct 28, 2026)
- Official site: mnemon.dev
- Listed on AgentScout: Oct 28, 2026
Mnemon FAQ
What is 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
How much does Mnemon cost?
Mnemon's pricing, as the maker states it: Open source + cloud. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Where can I find Mnemon's source code?
On GitHub at mnemon-dev/mnemon, which had 669 stars as of Oct 28, 2026.
What are alternatives to Mnemon?
Similar tools include OmniRoute, opencodex, Weave Router, Dataagent, Arcade and Treg.
Facts from our link-checked listing, the GitHub repository and the official site. See something wrong? Suggest an edit.
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