ysymyth/ReAct resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4122 stars · 398 forks observed · 2026-08-28

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

Reference prompting code for the ICLR 2023 ReAct paper, which synergizes reasoning and acting in language models. It provides Jupyter notebooks reproducing experiments on HotpotQA, FEVER, AlfWorld, and WebShop using GPT-3 and PaLM.

Use cases

• reproduce ReAct paper experiments on question answering and fact verification
• learn how to prompt LLMs to interleave reasoning traces with actions
• evaluate GPT-3 on HotpotQA, FEVER, AlfWorld, and WebShop benchmarks
• understand the ReAct prompting pattern before building agents with LangChain
• study prompting strategies for LLM decision-making

When to choose

• you want the original reference implementation of ReAct prompting
• you are reproducing the paper's benchmark results
• you are learning how reasoning-plus-acting prompts work

When to avoid

• you need a production-ready agent framework - use LangChain or similar instead
• you want to run ReAct on tasks beyond the four benchmarked notebooks without writing your own code
• you need support for models other than OpenAI GPT-3 or PaLM

Facets

learning-resource · maturity stable

prompt-engineering agent-framework llm-inference large-language-models artificial-intelligence python react-prompting research-paper jupyter-notebooks reasoning-and-acting gpt-3 ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ysymyth/ReAct")