GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
ReAct enhances large language models by improving reasoning and executing actions through specific tasks using GPT-3.
Good fit when
- When aiming for better decision-making in HotpotQA, alfworld environments, or WebShop scenarios with GPT-3
- For projects that benefit from detailed action-reasoning sequences as seen in AlfWorld success rates
Avoid when
- If requiring extensive custom task integration beyond provided notebooks, LangChain's zero-shot ReAct agent may be more preferable
- When PaLM outperforms GPT-3 on specific tasks or if an alternative model is preferred
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (923d since push)
- As of Aug 17, 2026
- Provenance
- Not a fork · Personal account
- As of Aug 17, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/ysymyth/ReActHow it fits your stack(4)
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Evidence and technical details
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Overview
A repository containing GPT-3 prompting code for the ReAct method that enhances reasoning and action in large language models through specified tasks such as HotpotQA, FEVER, AlfWorld, and WebShop.
Capability facts
- Languages
- jupyter notebook
Source: github.language · Aug 17, 2026
Categories
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 17, 2026)
To use ReAct for more tasks, consider trying [LangChain's zero-shot ReAct Agent](https://python.langchain.com/docs/modules/agents/agentSource link
Source: README excerpt (regex_v1, Aug 17, 2026)
You need to first have an OpenAI API key and store it in the environment variable ``OPENAI_API_KEY`` (see [here](httSource link
Source: README excerpt (regex_v1, Aug 17, 2026)
Act for more tasks, consider trying [LangChain's zero-shot ReAct Agent](https://python.langchain.com/docs/modules/agents/agent_types/react.html).Source link
Tags
README
ReAct Prompting GPT 3 prompting code for ICLR 2023 paper ReAct: Synergizing Reasoning and Acting in Language Models. To use ReAct for more tasks, consider trying LangChain's zero shot ReAct Agent. Setup You need to first have an OpenAI API key and store it in the environment vari...
For agents
This page has a .md twin and JSON over the API.