mnemon

Analyze Mnemon harness eval reports, classify outcomes, and extract improvement evidence.

Turn stable Mnemon harness eval findings into scoped project, loop, adapter, docs, or eval asset improvements.

Design a scenario-driven Mnemon harness eval with target, hypothesis, HostAgent, loop configuration, evidence, and rubric.

Execute or supervise a planned Mnemon harness eval run in an isolated HostAgent workspace.

Manage project-scoped Mnemon goal state, evidence, verification, completion, blockers, and host goal links.

Recall long-term memory from Mnemon when GUIDE.md indicates that prior memory may help the current task.

Maintain prompt-facing working memory by editing MEMORY.md when GUIDE.md indicates that durable information should be kept.

Draft or revise high-quality SKILL.md content for approved or proposed Mnemon skill changes.

Start a low-frequency review of skill evidence and canonical skill lifecycle state.

Apply approved skill lifecycle and content changes to the canonical Mnemon skill library.

Record lightweight skill usage evidence when GUIDE.md indicates that a turn produced reusable workflow or lifecycle signal.

Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.

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.