dojo.md
University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
ClawRAG Connector
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install 2dogsandanerd/clawragInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
The Brain for OpenClaw - Self-hosted RAG engine with hybrid search.
⚠️ This skill requires Docker. It connects OpenClaw to your local ClawRAG instance.
Production-ready RAG infrastructure that keeps your data local:
git clone https://github.com/2dogsandanerd/ClawRag.git
cd ClawRag
cp .env.example .env
docker compose up -d
Wait for http://localhost:8080/health to return OK.
openclaw mcp add --transport stdio clawrag npx -y @clawrag/mcp-server
Test your setup:
curl http://localhost:8080/api/v1/rag/collections
| Capability | Description |
|---|---|
| Document Upload | PDF, DOCX, TXT, MD via API or folder |
| Hybrid Query | Vector similarity + keyword matching |
| Citations | Source tracking for all answers |
| Multi-Collection | Organize knowledge by project |
OpenClaw ◄──MCP──► @clawrag/mcp-server ◄──HTTP──► ClawRAG API (localhost:8080)
│
▼
┌─────────────┐
│ ChromaDB │
│ (vectors) │
└─────────────┘
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# ClawRAG Connector
**The Brain for OpenClaw** - Self-hosted RAG engine with hybrid search.
> ⚠️ This skill requires Docker. It connects OpenClaw to your local ClawRAG instance.
## What is ClawRAG?
Production-ready RAG infrastructure that keeps your data local:
- 🔒 **Privacy-first**: Vector DB runs on your machine
- 🔍 **Hybrid Search**: Semantic + Keyword (BM25) + RRF ranking
- 📄 **Smart Ingestion**: PDFs, Office docs, Markdown via Docling
- 🧠 **MCP-native**: Seamless OpenClaw integration
## Installation
### Step 1: Start ClawRAG (Docker)
```bash
git clone https://github.com/2dogsandanerd/ClawRag.git
cd ClawRag
cp .env.example .env
docker compose up -d
```
Wait for http://localhost:8080/health to return OK.
### Step 2: Connect OpenClaw
```bash
openclaw mcp add --transport stdio clawrag npx -y @clawrag/mcp-server
```
### Verification
Test your setup:
```bash
curl http://localhost:8080/api/v1/rag/collections
```
## Features
| Capability | Description |
|------------|-------------|
| Document Upload | PDF, DOCX, TXT, MD via API or folder |
| Hybrid Query | Vector similarity + keyword matching |
| Citations | Source tracking for all answers |
| Multi-Collection | Organize knowledge by project |
## Requirements
- Docker + Docker Compose
- 4GB+ RAM (8GB recommended for local LLM)
- Or: OpenAI/Anthropic API key for cloud LLM
## Architecture
```
OpenClaw ◄──MCP──► @clawrag/mcp-server ◄──HTTP──► ClawRAG API (localhost:8080)
│
▼
┌─────────────┐
│ ChromaDB │
│ (vectors) │
└─────────────┘
```
## Links
- 📚 Full Docs: https://github.com/2dogsandanerd/ClawRag#readme
- 🔧 API Reference: http://localhost:8080/docs (when running)
- 🐛 Issues: https://github.com/2dogsandanerd/ClawRag/issues
- 📦 MCP Package: https://www.npmjs.com/pa...University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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