| name | jasper-recall |
| description | Local RAG system for agent memory using ChromaDB and sentence-transformers. v0.3.0 adds multi-agent mesh (N agents sharing memory), OpenClaw plugin with autoRecall, and agent-specific collections. Commands: recall, index-digests, digest-sessions, privacy-check, sync-shared, serve, recall-mesh. |
Jasper Recall v0.2.3
Local RAG (Retrieval-Augmented Generation) system for AI agent memory. Gives your agent the ability to remember and search past conversations.
New in v0.2.2: Shared ChromaDB Collections — separate collections for private, shared, and learnings content. Better isolation for multi-agent setups.
New in v0.2.1: Recall Server — HTTP API for Docker-isolated agents that can't run CLI directly.
New in v0.2.0: Shared Agent Memory — bidirectional learning between main and sandboxed agents with privacy controls.
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:
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:
recall "what did we decide about the API design"
recall "hopeIDS patterns" --limit 10
recall "meeting notes" --json
Index your files:
index-digests
Create session digests:
digest-sessions
digest-sessions --dry-run
How It Works
Three Components
- digest-sessions — Extracts key info from session logs (topics, tools used)
- index-digests — Chunks and embeds markdown files into ChromaDB
- 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
results = exec("recall 'project setup decisions' --json")
Automated Indexing (Heartbeat)
Add to HEARTBEAT.md:
## Memory Maintenance
- [ ] New session logs? → `digest-sessions`
- [ ] Memory files updated? → `index-digests`
Cron Job
Schedule regular indexing:
{
"schedule": { "kind": "cron", "expr": "0 */6 * * *" },
"payload": {
"kind": "agentTurn",
"message": "Run index-digests to update the memory index"
},
"sessionTarget": "isolated"
}
Shared Agent Memory (v0.2.0+)
For multi-agent setups where sandboxed agents need access to some memories:
Memory Tagging
Tag entries in daily notes:
## 2026-02-05 [public] - Feature shipped
This is visible to all agents.
## 2026-02-05 [private] - Personal note
This is main agent only (default if untagged).
## 2026-02-05 [learning] - Pattern discovered
Learnings shared bidirectionally between agents.
ChromaDB Collections (v0.2.2+)
Memory is stored in separate collections for isolation:
| Collection | Purpose | Who accesses |
|---|
private_memories | Main agent's private content | Main agent only |
shared_memories | [public] tagged content | Sandboxed agents |
agent_learnings | Learnings from any agent | All agents |
jasper_memory | Legacy unified (backward compat) | Fallback |
Collection selection:
recall "api design"
recall "product info" --public-only
recall "patterns" --learnings
recall "everything" --all
recall "something" --collection private_memories
recall "old way" --legacy
Sandboxed Agent Access
recall "product info" --public-only
recall "product info"
Privacy Workflow
privacy-check "text to scan"
privacy-check --file notes.md
sync-shared
sync-shared --dry-run
CLI Reference
recall
recall "query" [OPTIONS]
Options:
-n, --limit N Number of results (default: 5)
--json Output as JSON
-v, --verbose Show similarity scores and collection source
--public-only Search shared_memories only (sandboxed agents)
--learnings Search agent_learnings only
--all Search all collections (merged results)
--collection X Search specific collection by name
--legacy Use legacy jasper_memory collection
serve (v0.2.1+)
npx jasper-recall serve [OPTIONS]
Options:
--port, -p N Port to listen on (default: 3458)
--host, -h H Host to bind (default: 127.0.0.1)
Starts HTTP API server for Docker-isolated agents.
Endpoints:
GET /recall?q=query&limit=5 Search memories
GET /health Health check
Security: public_only=true enforced by default.
Set RECALL_ALLOW_PRIVATE=true to allow private queries.
Example (from Docker container):
curl "http://host.docker.internal:3458/recall?q=product+info"
privacy-check (v0.2.0+)
privacy-check "text" # Scan inline text
privacy-check --file X # Scan a file
Detects: emails, API keys, internal IPs, home paths, credentials.
Returns: CLEAN or list of violations.
sync-shared (v0.2.0+)
sync-shared [OPTIONS]
Options:
--dry-run Preview without writing
--all Process all daily notes
Extracts [public] tagged entries to memory/shared/.
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:
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"
index-digests
"Collection not found"
rm -rf ~/.openclaw/chroma-db
index-digests
Model download slow
First run downloads ~80MB model. Subsequent runs are instant.
Links