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Engram Memory

Persistent semantic memory for AI agents — local, fast, free.

Rating
4.3 (276 reviews)
Downloads
47,941 downloads
Version
1.0.0

Overview

Persistent semantic memory for AI agents — local, fast, free.

Complete Documentation

View Source →

Engram — Agent Memory

Local semantic memory with biological decay, typed memories, and relationship graphs. No API keys. No cloud.

Boot Sequence

bash
engram search "<current task or context>" --limit 10

Always recall before working. Accessed memories get salience-boosted.

Storing

bash
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

bash
engram search "what tech stack"
engram search "pricing decisions" --type decision
engram search "client status" --agent client-agent

Relationships

bash
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

bash
engram stats
engram recall --limit 10
engram export > backup.json
engram import backup.json

Installation

Terminal bash 

openclaw install engram-memory
Copied!

💻Code Examples

engram search "<current task or context>" --limit 10

engram-search-current-task-or-context---limit-10.txt
Always recall before working. Accessed memories get salience-boosted.

## Storing

echo "Raw conversation text" | engram ingest

echo-raw-conversation-text--engram-ingest.txt
Types: fact, decision, preference, event, relationship

## Searching

engram relations <id>

engram-relations-id.txt
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
example.sh
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
example.sh
engram search "what tech stack"
engram search "pricing decisions" --type decision
engram search "client status" --agent client-agent
example.sh
engram relate <src> <tgt> --type supports
engram auto-relate <id>
engram relations <id>
example.sh
engram stats
engram recall --limit 10
engram export > backup.json
engram import backup.json

Tags

#search_and-research

Quick Info

Category Web Scrapers
Model Claude 3.5
Complexity Multi-Agent
Author dannydvm
Last Updated 3/10/2026
🚀
Optimized for
Claude 3.5
🧠

Ready to Install?

Get started with this skill in seconds

openclaw install engram-memory

Resources

📂
OpenClaw Skills
View on OpenClaw GitHub
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