Index your entire OpenClaw workspace — chat history, code, documentation — and search by meaning, not keywords. Fully offline, zero dependencies, complete privacy.
🔍 Found 3 relevant items:
📄 Past Conversation (voipms-sms)
Use voipms_sms_client.py with API endpoint...
API: https://voip.ms/api/v1/rest.php
✅ Indexed 2,533 documents from your workspace
Everything you need to build and maintain your knowledge base
Find context by meaning, not just keywords. ChromaDB with all-MiniLM-L6-v2 embeddings automatically understands the intent behind your queries.
Index chat sessions, Python/JavaScript code, Markdown docs, skill documentation — everything in your OpenClaw workspace becomes searchable.
No API keys, no external services, no cloud databases. All embeddings and storage live on your machine. Your data never leaves.
The AI automatically retrieves relevant context from your knowledge base when responding. It "remembers" your past work transparently.
Search by document type — sessions, workspace, skills, memory. Find exactly what you're looking for with precision.
Indexing at ~1,000 docs/minute, search in under 100ms. The embedding model (79MB) caches locally after first run.
Compare with web-search RAG tools
Different use cases for different problems
Need current information, multi-engine web searches, or gathering context from the internet? That's what web-search RAG tools do best.
Need to find past solutions, code patterns, decisions, or conversations? That's our specialty — we remember everything you've done.
Use web-search RAG for research, then save the important findings to your knowledge base. OpenClaw RAG preserves what matters forever.