Biomni

General-purpose biomedical AI agent that autonomously runs research tasks by combining LLM reasoning with code execution.

Agent by Stanford SNAP

IndexedApache-2.0★ 4,005

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Setup steps are in the repository. Website · Repository

About

Biomni is a general-purpose biomedical AI agent designed to execute a wide range of research tasks across biomedical subfields autonomously. It combines LLM reasoning and retrieval-augmented planning with code-based execution. The README covers installation with pip and a Python A1 agent, and lists API key setups for providers including Anthropic, OpenAI, Gemini, Groq, Azure OpenAI, AWS Bedrock, Ollama and custom endpoints.

Use cases: research, deep-research, data-analysis

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Fact sheet

Jobs: researchREADME
Autonomy: Autonomous: runs tasks end to end and reports backREADME
Where you use it: Web, APIREADME
Hosting: Hosted or self-hostedREADME
Models: anthropic, openai, azure-openai, google, groq, aws-bedrock, ollamaREADME
Interfaces: sdkREADME
Open source: Yes

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Built on

Frameworks named in its dependency files.

0.753score
LangChain
LangChain
Python framework of interoperable components and integrations for building agents and LLM apps, with LangGraph and Deep Agents layered above it.
HarnessAFreshness: A★ 148.4K↓ 37.3M/wk

Signals

Stars: 4,005
Forks: 730
Open issues: 66
Last commit: Jan 15, 2026 (9 months ago)
Last release: Oct 27, 2025 (1 year ago)

From GitHub (fetched Oct 24, 2026).

Details

License: Apache-2.0
Repository: github.com/snap-stanford/Biomni
Website: biomni.stanford.edu
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README Website github-graphql

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Cite this page

Biomni. Agent Mart. https://agentmart.dev/agents/biomni (last updated 2026-10-24)