lean-dojo/LeanCopilot

• highreadme#1

  Clarify LeanCopilot's unique role and relationship to LeanDojo in the README intro

  Why:

  CURRENT

  Lean Copilot allows large language models (LLMs) to be used natively in Lean for proof automation, e.g., suggesting tactics/premises and searching for proofs. You can use our built-in models from LeanDojo or bring your own models that run either locally (w/ or w/o GPUs) or on the cloud.

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  Lean Copilot is a specialized tool within the LeanDojo ecosystem, designed to integrate large language models (LLMs) directly into Lean for advanced proof automation. While LeanDojo provides the foundational infrastructure for formal mathematics research, Lean Copilot focuses specifically on empowering Lean users with AI-powered tactic suggestions, proof search, and premise selection. You can leverage our built-in models or seamlessly integrate your own, running locally or in the cloud.

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• mediumreadme#2

  Add a 'Key Features' section to the README

  Why:

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  ## Key Features
  *   **AI-Powered Tactic Suggestion:** Get real-time suggestions for Lean tactics to accelerate proof development.
  *   **Automated Proof Search:** Leverage LLMs to explore and find complete proofs for your theorems.
  *   **Intelligent Premise Selection:** Automatically identify relevant premises from your Lean environment.
  *   **Flexible Model Integration:** Use built-in LeanDojo models or easily integrate your custom LLMs, running locally or in the cloud.

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• lowtopics#3

  Add more specific, high-signal topics

  Why:

  CURRENT

  formal-mathematics, lean, lean4, llm, llm-inference, machine-learning, theorem-proving

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  formal-mathematics, lean, lean4, llm, llm-inference, machine-learning, theorem-proving, proof-automation, ai-assistant, code-generation-ai

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How can I automate theorem proving in Lean using large language models?

  you: not recommended
  AI recommended (in order):

  1. LeanDojo
  2. GPT-f
  3. GPT-3.5
  4. GPT-4
  5. Lean-GPT-f
  6. Llama 2
  7. Mistral
  8. VS Code
  9. llama.cpp
  10. Hugging Face Transformers
  11. sentence-transformers
  12. Chroma
  13. Weaviate
  14. Pinecone
  15. OpenAI's GPT-4 API
  16. CodeLlama

  AI recommended 16 alternatives but never named lean-dojo/LeanCopilot. This is the gap to close.

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• CATEGORY QUERY

  What tools integrate LLMs for tactic suggestion and proof search in formal mathematics?

  you: not recommended
  AI recommended (in order):

  1. Lean
  2. LeanDojo
  3. ProofNet
  4. GPTF
  5. Tactician
  6. Coq
  7. CoqGym
  8. Proof General
  9. OpenAI's GPT-4
  10. Google's Gemini
  11. Isabelle/HOL
  12. Sledgehammer
  13. PISA
  14. HOL Light
  15. HOL Light GPT
  16. F*
  17. F*GPT

  AI recommended 17 alternatives but never named lean-dojo/LeanCopilot. This is the gap to close.

  Show full AI answer

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of lean-dojo/LeanCopilot?

  pass
  ✓AI named lean-dojo/LeanCopilot explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts lean-dojo/LeanCopilot in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named lean-dojo/LeanCopilot explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo lean-dojo/LeanCopilot solve, and who is the primary audience?

  pass
  ✓AI named lean-dojo/LeanCopilot explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?