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PythonReactSEOPDF
OpenClaw

engram

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.

dannydvm0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install dannydvm/engram-memory

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/dannydvm/engram-memory
Version
—
Commit
f6169741d5dabf8ae9c6347f2a62e06fc02c75e6
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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
```

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