What breaks without openclaw second brain
Scattered notes. No recall. Hours re-researching what you already knew.
→
Conversational knowledge recall × RAG pipeline ÷ 2-hour setup ÷ no vendor lock-in = instant answers from your own docs.
Security check — openclaw second brain
Privacy score: 7/10 — accesses connected platform APIs only.
Lock it: review OAuth scopes before install, confirm OpenClaw ≥1.2; Chroma ≥0.4 or Qdrant ≥1.7; Node.js ≥18; Python 3.10+ for vector DB compatibility.
Quick start — openclaw second brain in 2–4 hours
Setup time: 2–4 hours
!
You need:
- OpenClaw core
- vector database (Chroma or Qdrant)
- embedding API key
- openclaw-supermemory or similar memory skill
Install the package:
npm install openclaw-supermemory
npm install openclaw-readwise
pip install chromadb --break-system-packages
1
Set up Chroma or Qdrant as your vector store
2
Install openclaw-supermemory for persistent memory layer
3
Configure ingestion sources (Readwise API key, Obsidian vault path)
4
Run the ingestion pipeline once to seed your knowledge base
5
Register a conversational query skill in openclaw.config.js
6
Test by asking your bot a question about ingested content
Compatibility & status
Works with: OpenClaw ≥1.2; Chroma ≥0.4 or Qdrant ≥1.7; Node.js ≥18; Python 3.10+ for vector DB
advanced
Last updated: Oct 2025
MIT
Official docs →
View on GitHub →
FAQ — openclaw second brain
Does this require a paid LLM API?
It works with Ollama locally, but quality improves with GPT-4o or Claude.
Can I ingest PDFs?
Yes, with a PDF parser skill or LangChain's PDF loader wired into the ingestion job.
How many documents can the system handle?
Tested to 50k+ chunks in Qdrant with sub-second retrieval.