noahshinn/reflexion resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3242 stars · 316 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Reference implementation of the NeurIPS 2023 Reflexion paper, where language agents improve through verbal self-reflection instead of weight updates. It includes notebooks and scripts for running reasoning (HotPotQA), decision-making (AlfWorld), and programming (HumanEval) experiments.

Use cases

• reproduce the reflexion paper experiments
• build llm agents that learn from self-reflection
• compare react and chain-of-thought agent baselines
• run verbal reinforcement learning experiments
• study agent memory and self-critique strategies

When to choose

• you want the official reference code for the Reflexion paper
• you are researching agent self-reflection and memory techniques
• you need reproducible HotPotQA, AlfWorld, or HumanEval agent benchmarks

When to avoid

• you need a production-ready agent framework
• you want maintained tooling rather than research code
• you need agents without OpenAI API dependencies

Facets

learning-resource · maturity maintenance

agent-framework machine-learning llm-inference prompt-engineering artificial-intelligence large-language-models reinforcement-learning python cli reflexion verbal-reinforcement-learning research-code neurips-2023 react-agents self-reflection hotpotqa alfworld human-eval ai-agents research

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For agents

markdown · JSON · MCP: product_card(name="noahshinn/reflexion")