Robin is an open-source multi-agent system designed to automate scientific discovery, focusing on generating hypotheses, experimental assays, and therapeutic candidates. It targets researchers and power users seeking to accelerate discovery pipelines by leveraging large language models. The system aims to streamline the initial stages of research by automating literature review, hypothesis formulation, and candidate proposal.

How It Works

Robin employs a modular, multi-agent architecture driven by large language models (LLMs) via the LiteLLM library. It systematically generates and ranks potential experimental assays and therapeutic candidates based on a specified scientific problem (e.g., a disease). The core workflow involves querying literature, formulating detailed hypotheses, proposing assays, and then generating and ranking candidate solutions, with an optional feedback loop from experimental data analysis.

Quick Start & Requirements

• Installation: Clone the repo, set up a Python 3.12+ virtual environment, and install dependencies via uv pip install -e '.[dev]' or pip install -e '.[dev]'.
• Prerequisites: Requires FUTUREHOUSE_API_KEY for platform agents and an API key for a chosen LLM provider (e.g., OPENAI_API_KEY).
• Setup: API keys should be set as environment variables or passed directly to RobinConfiguration.
• Running: Execute robin_demo.ipynb via Jupyter Notebook/Lab after configuring RobinConfiguration with a target disease_name.
• Finch Access: The "Finch" data analysis component requires closed beta access to the FutureHouse platform; request via https://platform.futurehouse.org/profile. Hypothesis and experiment generation function without Finch.

Highlighted Details

• Automated generation and ranking of experimental assays and therapeutic candidates.
• Integrated literature review and detailed hypothesis formulation.
• Flexible LLM backend via LiteLLM support.
• Optional experimental data analysis feedback loop (Finch agent).

Maintenance & Community

No specific details on maintainers, community channels, or roadmap were found in the provided text.

Licensing & Compatibility

No license information was found in the provided text.

Limitations & Caveats

The "Finch" data analysis component is in closed beta and requires specific platform access. Advanced usage may exceed rate limits, and the data analysis functionality is also noted as beta. The absence of a specified license could pose compatibility issues for certain integration or commercial use cases.