jasper-recall

# Jasper Recall

Local RAG (Retrieval-Augmented Generation) system for AI agent memory. Gives your agent the ability to remember and search past conversations.

## When to Use

- **Memory recall**: Search past sessions for context before answering
- **Continuous learning**: Index daily notes and decisions for future reference
- **Session continuity**: Remember what happened across restarts
- **Knowledge base**: Build searchable documentation from your agent's experience

## Quick Start

### Setup

One command installs everything:

```bash
npx jasper-recall setup
```

This creates:
- Python venv at `~/.openclaw/rag-env`
- ChromaDB database at `~/.openclaw/chroma-db`
- CLI scripts in `~/.local/bin/`

### Basic Usage

**Search your memory:**
```bash
recall "what did we decide about the API design"
recall "hopeIDS patterns" --limit 10
recall "meeting notes" --json
```

**Index your files:**
```bash
index-digests  # Index memory files into ChromaDB
```

**Create session digests:**
```bash
digest-sessions          # Process new sessions
digest-sessions --dry-run  # Preview what would be processed
```

## How It Works

### Three Components

1. **digest-sessions** — Extracts key info from session logs (topics, tools used)
2. **index-digests** — Chunks and embeds markdown files into ChromaDB
3. **recall** — Semantic search across your indexed memory

### What Gets Indexed

By default, indexes files from `~/.openclaw/workspace/memory/`:

- `*.md` — Daily notes, MEMORY.md
- `session-digests/*.md` — Session summaries
- `repos/*.md` — Project documentation
- `founder-logs/*.md` — Development logs (if present)

### Embedding Model

Uses `sentence-transformers/all-MiniLM-L6-v2`:
- 384-dimensional embeddings
- ~80MB download on first run
- Runs locally, no API needed

## Agent Integration

### Memory-Augmented Responses

```python
# Before answering questions about past work
results = exec("recall 'project setup decisions' --json")
# Include relevant context in your response
```

### Automated Indexing (Heartbeat)

Add to HEARTBEAT.md:
```markdown
## Memory Maintenance
- [ ] New session logs? → `digest-sessions`
- [ ] Memory files updated? → `index-digests`
```

### Cron Job

Schedule regular indexing:
```json
{
  "schedule": { "kind": "cron", "expr": "0 */6 * * *" },
  "payload": {
    "kind": "agentTurn",
    "message": "Run index-digests to update the memory index"
  },
  "sessionTarget": "isolated"
}
```

## CLI Reference

### recall

```
recall "query" [OPTIONS]

Options:
  -n, --limit N     Number of results (default: 5)
  --json            Output as JSON
  -v, --verbose     Show similarity scores
```

### index-digests

```
index-digests

Indexes markdown files from:
  ~/.openclaw/workspace/memory/*.md
  ~/.openclaw/workspace/memory/session-digests/*.md
  ~/.openclaw/workspace/memory/repos/*.md
  ~/.openclaw/workspace/memory/founder-logs/*.md

Skips files that haven't changed (content hash check).
```

### digest-sessions

```
digest-sessions [OPTIONS]

Options:
  --dry-run    Preview without writing
  --all        Process all sessions (not just new)
  --recent N   Process only N most recent sessions
```

## Configuration

### Custom Paths

Set environment variables:

```bash
export RECALL_WORKSPACE=~/.openclaw/workspace
export RECALL_CHROMA_DB=~/.openclaw/chroma-db
export RECALL_SESSIONS_DIR=~/.openclaw/agents/main/sessions
```

### Chunking

Default settings in index-digests:
- Chunk size: 500 characters
- Overlap: 100 characters

## Troubleshooting

**"No index found"**
```bash
index-digests  # Create the index first
```

**"Collection not found"**
```bash
rm -rf ~/.openclaw/chroma-db  # Clear and rebuild
index-digests
```

**Model download slow**
First run downloads ~80MB model. Subsequent runs are instant.

## Links

- **GitHub**: https://github.com/E-x-O-Entertainment-Studios-Inc/jasper-recall
- **npm**: https://www.npmjs.com/package/jasper-recall
- **ClawHub**: https://clawhub.ai/skills/jasper-recall