mnemon-dev
OrganizationLLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with Claude Code, OpenClaw, and any CLI agent.
Categories
Indexed Skills (13)
mnemon-goal
Manage project-scoped Mnemon goal state, evidence, verification, completion, blockers, and host goal links.
memory-get
Recall long-term memory from Mnemon when GUIDE.md indicates that prior memory may help the current task.
memory-set
Maintain prompt-facing working memory by editing MEMORY.md when GUIDE.md indicates that durable information should be kept.
add-mnemon
Add persistent graph-based memory to NanoClaw agents using mnemon. Agents recall context before responding and remember insights after. Each group gets isolated memory with optional global shared store.
mnemon
Persistent memory CLI for Hermes Agent. Store facts, recall past knowledge, link related memories, manage lifecycle.
eval-analyze
Analyze Mnemon harness eval reports, classify outcomes, and extract improvement evidence.
eval-improve
Turn stable Mnemon harness eval findings into scoped project, loop, adapter, docs, or eval asset improvements.
eval-plan
Design a scenario-driven Mnemon harness eval with target, hypothesis, HostAgent, loop configuration, evidence, and rubric.
eval-run
Execute or supervise a planned Mnemon harness eval run in an isolated HostAgent workspace.
skill-author
Draft or revise high-quality SKILL.md content for approved or proposed Mnemon skill changes.
skill-curate
Start a low-frequency review of skill evidence and canonical skill lifecycle state.
skill-manage
Apply approved skill lifecycle and content changes to the canonical Mnemon skill library.
skill-observe
Record lightweight skill usage evidence when GUIDE.md indicates that a turn produced reusable workflow or lifecycle signal.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.