Replies: 5 comments 2 replies
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This is a really interesting concept and I agree the combination can be powerful but I think there’s a bit of overengineering in the assumption that OpenClaw/ClawRag is required everywhere. You don’t actually need a full RAG + agent stack just to make Shadowbroker “intelligent.” In my case, I already have a working system where: “What happened in region X today?” This works without a heavy RAG pipeline, because: Most queries are about recent/live data, not long-term document retrieval The logic can be handled via structured queries + lightweight NLP + summarization You avoid unnecessary complexity, latency, and resource usage |
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Some solid ideas, and should be pretty easy to vibe code (he vibe code it fast). https://youtu.be/rXvU7bPJ8n4?si=cnjIYRxHl4JoIbW3 |
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Yup, I have been thinking about it for a while now. The next update is going to allow people to interact within the skeleton of what I want to be a truth engine/decentralized intelligence platform with potential to be a lot more (might be a fanciful dream, too, who knows). Open claw would be integrated, and that's when things will start to get unpredictable...Im working on an anonymity protocol that this thing is based on, but I think that's going to take me a while before I can call it that....anyways YES OPEN CLAW has been on my mind! Giving your bot access to this kind of telemetry about the real world would BE INSANE and something every individual needs to enrich their lives. It's something I am adamant about bringing into fruition. |
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I think adding overall enhancements for the middle east region would be great. Adding flight radar data also? Not sure if they provide api enpoints. Also thank you for taking it for the team and |
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Imagine - OpenClaw and ShadowBroker...
Per Grok:
Yes, integrating Shadowbroker (your real-time OSINT dashboard for tracking flights, vessels, satellites, etc.) with ClawRag (the RAG system from your
clawrag-*containers, designed to power OpenClaw personal AI assistants with document retrieval via ChromaDB + Docling + Ollama/local LLMs) is feasible and potentially powerful.Your setup already has:
clawrag-backend(likely FastAPI),clawrag-chromadb(Chroma vector DB on host port 8000), andclawrag-ollama(Ollama for embeddings/generation).The port conflict was because both projects default to host port 8000 — ClawRag's ChromaDB wins in your current
docker psoutput.Why Integrate Them?
Practical Ways to Integrate (From Easiest to Advanced)
Simplest: Run Both Side-by-Side (No Code Changes) + Manual/AI Bridging
docker-compose.yml, comment out the backend'sports:section:http://backend:8000. No host port 8000 used."8001:8000"(or any free port).Medium: Add a Custom Skill/Tool in OpenClaw to Query Shadowbroker
/api/v1/ais/vessels,/api/v1/opensky/flights, etc. (check http://localhost:8000/docs after running).Advanced: Full Merge / Unified Stack
docker-compose.yml.http://clawrag-backend:8080).Even Cooler Ideas
Start with option 1 (run both, comment out Shadowbroker's port expose) — get everything stable, then layer on the AI queries. If you share more details (e.g., your ClawRag folder path, or what OpenClaw features you're using), I can give exact
docker-compose.ymlsnippets or skill code examples.This combo could turn your setup into a mini fusion center — real-time tracking + intelligent analysis, all local and private. Let me know how far you want to take it!
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