Agent Laboratory

LLM agent workflow that assists a human researcher through literature review, experiments and report writing.

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Setup steps are in the repository. Website · Repository

About

Agent Laboratory is a set of LLM-driven agents that support a human researcher through three phases: literature review, experimentation and report writing. The agents use external tools such as arXiv, Hugging Face, Python and LaTeX. The site says it adapts to available compute, from a laptop to a GPU cluster, and the human stays in charge of the research direction.

Use cases: research, coding, deep-research, writing-editing, code-generation

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Fact sheet

Jobs: research, codingagentlaboratory.github.io
Autonomy: Supervised: runs multi-step tasks, asks at checkpointsagentlaboratory.github.io
Where you use it: TerminalREADME
Hosting: You run itREADME
Models: o1, o1-preview, o1-mini, gpt-4o, o3-mini, deepseek-chatREADME
Open source: Yes

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

Signals

Stars: 5,910
Forks: 806
Open issues: 40
Last commit: Aug 20, 2025 (1 year ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/SamuelSchmidgall/AgentLaboratory
Website: agentlaboratory.github.io
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: README Website github-graphql

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Cite this page

Agent Laboratory. Agent Mart. https://agentmart.dev/agents/agent-laboratory (last updated 2026-10-24)