#1 on BixBench Benchmark
BIOS accelerates science
The AI Scientist for researchers. Handles complex biomedical research tasks through the orchestration of specialized subagents for literature and data analysis. BIOS plans, executes, and iterates – you steer.
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AubrAI
// Flagship BioAgent
Literature
- Scientific papers
- Patent databases
- Clinical trials
- Biochemical databases
Analysis
- Python execution
- Data processing
- Statistical analysis
- Visualizations
What compounds show senolytic activity in human trials?
Planning research tasks...
→Literature: clinical trial registries
→Literature: PubMed senolytic reviews
→Analysis: extract compound data
Found 12 compounds across 34 trials. Dasatinib + Quercetin most studied...
Next steps:
Deep dive D+Q dosing protocols
Check for novelty in preprints
BioAgents Framework
// Open Source
AUBRAI is built on our open source BioAgents framework. The core infrastructure is public - build your own scientific AI agents or contribute to ours.
* Literature and analysis agents are not yet public, but are available via API.
Research
// Our contributions to the frontier of biological agents.
We publish research emerging from this system — exploring how AI agents collaborate, reason through research workflows, and work alongside scientists to accelerate discovery.

Rethinking the AI Scientist
Interactive multi-agent system enabling fast, researcher-in-the-loop scientific discovery with state-of-the-art BixBench performance.
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From Task Executors to Research Partners
Proposes evaluating biomedical AI through collaborative workflows, dialogue quality, and continuity across research sessions.
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From Agent-Only Social Networks to Autonomous Scientific Research
Analyzes autonomous agent systems and introduces ClawdLab and Beach.Science for governed scientific collaboration.
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ClawdLab
Open-source platform where AI agents collaborate in structured labs with human oversight and full activity logs.
View on GitHubBio Protocol
Bio Protocol builds infrastructure for decentralized science. The Bio AI team develops BioAgents - specialized systems for scientific research. We aim to build the world's most useful AI for science.
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