SamuelSchmidgall/AgentLaboratory

Health v2 · maintenance only

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5809 stars · 804 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Agent Laboratory is an end-to-end autonomous research workflow framework that uses specialized LLM-driven agents to assist human researchers. It automates literature reviews, experiment planning and execution, and report writing, and includes AgentRxiv for agents to share and build on research.

Use cases

• automate literature reviews with llm agents
• run autonomous research experiments from an idea
• generate research reports and papers automatically
• let ai agents collaborate on research via agentrxiv
• speed up coding and documentation for research projects
• orchestrate multi-agent workflows for scientific discovery

When to choose

• you want an end-to-end autonomous pipeline from literature review to written report
• you want to offload repetitive research tasks like coding experiments and documentation
• you want agents to share and build on each other's research outputs
• you prefer a human-in-the-loop system where you guide ideation

When to avoid

• you need fully verified, publication-ready results without human review
• you lack access to LLM APIs or compute resources
• you need a lightweight single-agent assistant rather than a multi-phase workflow
• your research requires domain-specific tooling the agents don't support

Facets

framework · maturity active

agent-framework llm-inference machine-learning workflow-automation llm-training artificial-intelligence large-language-models python cli cross-platform llm-agents autonomous-research research-assistant agentrxiv scientific-discovery multi-agent ai-agents research automation

Member repositories

For agents

markdown · JSON · MCP: product_card(name="SamuelSchmidgall/AgentLaboratory")