Cosmo
Description
AI-powered data analytics with GPU-accelerated graph visualization. Two AI agents debate your data autonomously.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Cosmo
[](https://www.patreon.com/AndersBjarby)
**AI-powered data analytics with GPU-accelerated graph visualization.**
Drop any CSV or JSON. Two AI agents (Claude + Gemini) autonomously analyze your data, debate findings, create charts, and navigate a live graph — all in real time.
  
Quick Start
1. Clone and install
git clone && cd cosmo-filesystem
# Frontend
npm install
# Backend
python3 -m venv venv
source venv/bin/activate
pip install -r backend/requirements.txt
2. Configure
cp .env.example .env
# Edit .env and add your OpenRouter API key
3. Run
# Terminal 1 — Backend
source venv/bin/activate
export $(cat .env | xargs)
python backend/server.py
# Terminal 2 — Frontend
npm run dev
Open **http://localhost:5199**
4. Use
- Drop a CSV or JSON file onto the page
- Ask a question: "give me insights"
- Enable the Companion checkbox for autonomous multi-agent debate
Features
Multi-Agent Debate
Two LLMs analyze your data simultaneously. The analyst (Claude Sonnet 4.6) responds first, then the companion (Gemini 3.1 Pro) challenges and extends. They alternate for 4 rounds, each updating the graph.
**Companion themes:**
| Theme | Behavior |
|---|---|
| Default | Dig deeper, challenge conclusions |
| Devil's Advocate | Poke holes, find counterexamples |
| Anomaly Hunter | Focus on outliers and oddities |
| Optimizer | Find actionable improvements |
| Connector | Build relationships between data points |
| Storyteller | Weave data into a narrative |
Self-Building Analytics
The AI writes custom P
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