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Autoresearch

AI agents running automated research

Autonomous research framework by Andrej Karpathy that lets AI agents plan and execute machine learning experiments end-to-end. Agents design experiments, run training loops, analyze results, and iterate on hypotheses with minimal human oversight. Runs efficiently on single-GPU setups and applies agentic patterns beyond software development — bringing autonomous agent workflows to the research process itself.

About Autoresearch

Autoresearch is an autonomous research framework by Andrej Karpathy that lets AI agents plan and execute research experiments automatically. Agents design experiments, run training loops, analyze results, and iterate on hypotheses with minimal human oversight.

The framework demonstrates the potential of agentic AI beyond software development — applying autonomous agent patterns to the research process itself. It runs efficiently on single-GPU setups and provides a template for building your own automated research pipelines.

Pricing & Platform Specs

Pricing Summary

Free and 100% open source under the MIT license. AutoResearch has no software licensing or platform fees; operational costs consist solely of local GPU electricity or cloud compute instances and LLM API inference tokens used by the agent.

full pricing breakdown →

Supported Platforms

CLI agent; Python; cross-platform

Explore categories, tags & use cases

Framework for LLM applications

The most widely-used framework for building LLM-powered applications, available in Python and JavaScript. Provides abstractions for chains, agents, RAG, memory, tool usage, and structured output. Integrates with 100+ LLM providers, vector stores, document loaders, and tools. LangSmith offers tracing and evaluation. LangGraph enables stateful, multi-agent workflows with cycles. 100K+ GitHub stars. The de facto standard for LLM application development despite growing alternatives like LlamaIndex.

freemiumOpen Source

Data framework for LLM applications

Leading Python framework for building LLM-powered applications with focus on data-aware and agentic workflows. Provides tools for RAG (Retrieval-Augmented Generation), document indexing, vector store integrations, query engines, and multi-agent orchestration. 150+ data connectors for various sources. Works with OpenAI, Anthropic, local models, and more. Includes LlamaHub for community tools and LlamaCloud for managed RAG pipelines. 50K+ GitHub stars.

freemiumOpen Source

Build AI-powered web apps

Open-source TypeScript toolkit by Vercel for building AI-powered apps with streaming chat UIs, structured outputs, tool calling, and agent workflows. Framework-agnostic core with integrations for React, Next.js, Svelte, Vue, and Nuxt. Supports a broad AI SDK v6 provider catalog including OpenAI, Anthropic, Google, xAI, Mistral, Bedrock, Groq, and OpenAI-compatible providers. Includes useChat and useCompletion hooks for rapid UI development. The standard SDK for adding AI features to web apps.

Open Source

Community experience

Sources & verification

Sources checked
Content verified

Verification dates are editorial checks. Routine CMS saves and automatic updatedAt timestamps do not advance them.

FAQ

What is Autoresearch?

Autonomous research framework by Andrej Karpathy that lets AI agents plan and execute machine learning experiments end-to-end. Agents design experiments, run training loops, analyze results, and iterate on hypotheses with minimal human oversight. Runs efficiently on single-GPU setups and applies agentic patterns beyond software development — bringing autonomous agent workflows to the research process itself.

Is Autoresearch free?

Yes — Autoresearch is open source and free to use. Free and 100% open source under the MIT license. AutoResearch has no software licensing or platform fees; operational costs consist solely of local GPU electricity or cloud compute instances and LLM API inference tokens used by the agent.

Is Autoresearch open source?

Yes — Autoresearch is open source.

Is Autoresearch still maintained?

Yes — Autoresearch is active. Its listing was last verified on September 6, 2026.

What are the best Autoresearch alternatives?

The first editor-selected Autoresearch alternatives are LangChain, LlamaIndex, Vercel AI SDK.