Araaf7/swarm-factory

🧪 LabRat

Autonomous Multi-Agent Research Orchestrator

Turn your research chaos into a symphony of intelligent agents.
LabRat is not an experiment tracker. It is a self-organizing colony of AI research assistants that autonomously explore hypotheses, allocate market-style computational credits, and produce reproducible findings—all coordinated through a single YAML configuration.

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🧬 Overview

Imagine a research lab where every scientist is an AI agent, each with a unique specialization, budget, and communication protocol. LabRat orchestrates these agents using market-based resource allocation, where compute, API quota, and memory are traded like commodities.

Your role? Chief Scientist. You define the experimental frontier; the colony navigates it.

graph TD
    A[User: Define Hypothesis] --> B[Orchestrator]
    B --> C{Market Allocation Engine}
    C --> D[Agent: Literature Miner]
    C --> E[Agent: Data Synthesizer]
    C --> F[Agent: Hypothesis Tester]
    D --> G[Shared Memory Pool]
    E --> G
    F --> G
    G --> H[Experiment Report]
    H --> I[Claude API Summary]
    H --> J[OpenAI API Critique]

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✨ Feature Constellation

• 🧠 Multi-Agent Brain Trust – Deploy specialized agents (mining, synthesis, validation, critique) that collaborate without human babysitting.
• 📊 Market-Allocation Engine – Agents earn "lab credits" for high-value discoveries and spend them on compute, API calls, or memory priority.
• 🔬 Autonomous Research Loops – Define a seed hypothesis; LabRat iterates until statistical saturation or budget exhaustion.
• 🌍 Multilingual Research Support – Agents read papers in 32+ languages, synthesize findings in your chosen output language.
• 🕵️ Claude Code Integration – Use Anthropic’s API for deep reaso