--- title: "lagent vs LeanCopilot" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/internlm-lagent-vs-lean-dojo-leancopilot" tools: ["internlm-lagent", "lean-dojo-leancopilot"] --- # lagent vs LeanCopilot *GraphCanon updated Aug 25, 2026* ## Verdict Pick lagent if lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents; pick LeanCopilot if a system that leverages large language models for theorem proving in the Lean environment. [lagent](https://github.com/InternLM/lagent) reports 2.3k GitHub stars, 238 forks, and 24 open issues, last pushed Aug 3, 2026. [LeanCopilot](https://leandojo.org/leancopilot.html) has 1.3k stars, 127 forks, and 0 open issues, last pushed Aug 22, 2026. Figures are from public GitHub metadata via [lagent's repository](https://github.com/InternLM/lagent) and [LeanCopilot's repository](https://github.com/lean-dojo/LeanCopilot). | | [lagent](/tools/internlm-lagent.md) | [LeanCopilot](/tools/lean-dojo-leancopilot.md) | | --- | --- | --- | | Tagline | A lightweight framework for building LLM-based agents | LLMs as Copilots for Theorem Proving in Lean | | Stars | 2,276 | 1,314 | | Forks | 238 | 127 | | Open issues | 24 | 0 | | Language | Python | C++ | | Adopt for | lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents. | A system that leverages large language models for theorem proving in the Lean environment. | | Persona | - | - | | Runtime | - | - | | License | lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution. | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lagent](/tools/internlm-lagent.md) | [LeanCopilot](/tools/lean-dojo-leancopilot.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 12d | 2d | | Open issues (now) | 24 | 0 | | Stars delta | +8 (30d) | +11 (30d) | | Open issues delta | +1 (30d) | -5 (30d) | | Full report | [trust report](/tools/internlm-lagent/trust.md) | [trust report](/tools/lean-dojo-leancopilot/trust.md) | ## Decision facts: lagent - **Pricing:** freemium - Available freely due to its open-source nature, but customization or enterprise support might involve additional costs. - **Adopt for:** lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents. - **License detail:** lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution. ## Decision facts: LeanCopilot - **Adopt for:** A system that leverages large language models for theorem proving in the Lean environment. ## Choose when ### Choose lagent if… - lagent is primarily Python; LeanCopilot is C++. - License: lagent is Apache-2.0, LeanCopilot is MIT. - Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.. - Tags unique to lagent: agent, gpt, transformers. - When you need a streamlined approach to develop LLM-based agents with minimal overhead, lagent can be particularly advantageous due to its lightweight design. ### Choose LeanCopilot if… - LeanCopilot is primarily C++; lagent is Python. - License: LeanCopilot is MIT, lagent is Apache-2.0. - Tags unique to LeanCopilot: formal-mathematics, lean, lean4, llm-inference. - LeanCopilot ships Docker support for self-hosted deployment. - Need support with formal proof development in Lean or Lean4 specifically ## When NOT to use lagent - Avoid using lagent if your project necessitates integration with a broader set of tools that are not natively supported by this framework, as it offers limited out-of-the-box extensibility. - Steer clear if you need robust scalability features right from the start. While lightweight, lagent may require additional custom work to handle more demanding scaling requirements. ## When NOT to use LeanCopilot - Working exclusively in theorem provers other than Lean or Lean4 - Looking for general-purpose AI programming assistant beyond Lean's domain ## Common questions ### What is the difference between lagent and LeanCopilot? lagent: A lightweight framework for building LLM-based agents. LeanCopilot: LLMs as Copilots for Theorem Proving in Lean. See the comparison table for live GitHub stats and shared categories. ### When should I choose lagent over LeanCopilot? Choose lagent over LeanCopilot when lagent is primarily Python; LeanCopilot is C++; License: lagent is Apache-2.0, LeanCopilot is MIT; Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.; Tags unique to lagent: agent, gpt, transformers; When you need a streamlined approach to develop LLM-based agents with minimal overhead, lagent can be particularly advantageous due to its lightweight design. ### When should I choose LeanCopilot over lagent? Choose LeanCopilot over lagent when LeanCopilot is primarily C++; lagent is Python; License: LeanCopilot is MIT, lagent is Apache-2.0; Tags unique to LeanCopilot: formal-mathematics, lean, lean4, llm-inference; LeanCopilot ships Docker support for self-hosted deployment; Need support with formal proof development in Lean or Lean4 specifically. ### When should I avoid lagent? Avoid using lagent if your project necessitates integration with a broader set of tools that are not natively supported by this framework, as it offers limited out-of-the-box extensibility. Steer clear if you need robust scalability features right from the start. While lightweight, lagent may require additional custom work to handle more demanding scaling requirements. ### When should I avoid LeanCopilot? Working exclusively in theorem provers other than Lean or Lean4 Looking for general-purpose AI programming assistant beyond Lean's domain ### Is lagent or LeanCopilot more popular on GitHub? lagent has more GitHub stars (2,276 vs 1,314). Stars measure visibility, not whether either tool fits your constraints. ### Are lagent and LeanCopilot open source? Yes - both are open-source projects on GitHub (lagent: Apache-2.0, LeanCopilot: MIT). ### Where can I find alternatives to lagent or LeanCopilot? GraphCanon lists graph-backed alternatives at [lagent alternatives](/tools/internlm-lagent/alternatives) and [LeanCopilot alternatives](/tools/lean-dojo-leancopilot/alternatives) ([lagent markdown twin](/tools/internlm-lagent/alternatives.md), [LeanCopilot markdown twin](/tools/lean-dojo-leancopilot/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/internlm-lagent-vs-lean-dojo-leancopilot.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, lagent or LeanCopilot? lagent: Active. LeanCopilot: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for lagent and LeanCopilot? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lagent trust report](/tools/internlm-lagent/trust); [LeanCopilot trust report](/tools/lean-dojo-leancopilot/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=internlm-lagent`](/api/graphcanon/graph?tool=internlm-lagent) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_