mnemon

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

mnemon

Workflow

1. Remember: mnemon remember "<fact>" --cat <cat> --imp <1-5> --entities "e1,e2" --source agent
   • Diff is built in: duplicates are skipped, conflicts are auto-replaced.
   • Output includes action (added/updated/skipped), semantic_candidates, and causal_candidates.
2. Link (evaluate candidates from step 1 using judgment):
   • Review causal_candidates: link only when the memories are genuinely causally related.
   • Review semantic_candidates: high similarity alone is not enough; skip unrelated keyword matches.
   • Syntax: mnemon link <id> <candidate> --type <causal|semantic> --weight <0-1> [--meta '<json>']
3. Recall: mnemon recall "<query>" --limit 10

Commands

mnemon remember "<fact>" --cat <cat> --imp <1-5> --entities "e1,e2" --source agent
mnemon link <id1> <id2> --type <type> --weight <0-1> [--meta '<json>']
mnemon recall "<query>" --limit 10
mnemon search "<query>" --limit 10
mnemon import --dry-run <file>
mnemon import <file>
mnemon forget <id>
mnemon related <id> --edge causal
mnemon gc --threshold 0.4
mnemon gc --keep <id>
mnemon status
mnemon log
mnemon store list
mnemon store create <name>
mnemon store set <name>
mnemon store remove <name>

Import Historical Chats

When the user asks to import old chats, notes, or exported context, create a memory_draft.json with schema_version: "1", insights entries containing content, category, importance, tags, entities, and optional created_at, plus optional edges using source_index, target_index, edge_type, weight, and reason. Run mnemon import --dry-run <file>, then run mnemon import <file> only after validation passes. After import, verify with mnemon status and a focused mnemon search or mnemon recall. Check the output errors field because imports can partially succeed.

Guardrails

• Use memory only when it can materially improve continuity or task quality.
• Do not store secrets, passwords, tokens, private keys, or short-lived operational noise.
• Categories: preference, decision, insight, fact, context
• Edge types: temporal, semantic, causal, entity
• Max 8,000 chars per insight.