| name | engram |
| description | Persistent semantic memory for AI agents — local, fast, free. Use when agent needs to recall past decisions, store new facts/preferences, search conversation history, or maintain context across sessions. |
| metadata | {"openclaw":{"emoji":"🧠","requires":{"bins":["engram"]},"install":[{"id":"node","kind":"node","package":"engram-memory","bins":["engram"],"label":"Install Engram (npm)"}]}} |
Engram — Agent Memory
Local semantic memory with biological decay, typed memories, and relationship graphs. No API keys. No cloud.
Boot Sequence
engram search "<current task or context>" --limit 10
Always recall before working. Accessed memories get salience-boosted.
Storing
engram add "Client uses React with TypeScript" --type fact --tags react,client
engram add "We decided to pause ads" --type decision --tags ads
echo "Raw conversation text" | engram ingest
Types: fact, decision, preference, event, relationship
Searching
engram search "what tech stack"
engram search "pricing decisions" --type decision
engram search "client status" --agent client-agent
Relationships
engram relate <src> <tgt> --type supports
engram auto-relate <id>
engram relations <id>
Types: related_to, supports, contradicts, caused_by, supersedes, part_of, references
Key Concepts
- Decay: Unused memories lose salience daily. Recalled ones get boosted.
- Types: Filter by fact, decision, preference, event, relationship.
- Scoping: global, agent, private, shared.
- Dedup: >92% similarity auto-merges.
Quick Reference
engram stats
engram recall --limit 10
engram export > backup.json
engram import backup.json
