--- title: "LeanEuclid vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/loganrjmurphy-leaneuclid-vs-microsoft-autogen" tools: ["loganrjmurphy-leaneuclid", "microsoft-autogen"] --- # LeanEuclid vs autogen *GraphCanon updated Jul 12, 2026* ## Verdict Pick LeanEuclid when leanEuclid is primarily Lean; autogen is Python; pick autogen when autogen is primarily Python; LeanEuclid is Lean. [LeanEuclid](http://arxiv.org/abs/2405.17216) reports 136 GitHub stars, 17 forks, and 5 open issues, last pushed Nov 25, 2025. [autogen](https://microsoft.github.io/autogen/) has 60k stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. Figures are from public GitHub metadata via [LeanEuclid's repository](https://github.com/loganrjmurphy/LeanEuclid) and [autogen's repository](https://github.com/microsoft/autogen). | | [LeanEuclid](/tools/loganrjmurphy-leaneuclid.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | LeanEuclid is a benchmark for autoformalization in the domain of Euclidean geometry, targeting the proof assistant Lean. | A programming framework for agentic AI | | Stars | 136 | 59,658 | | Forks | 17 | 8,983 | | Open issues | 5 | 945 | | Language | Lean | Python | | Adopt for | - | AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC-BY-4.0 | | Categories | Computer Vision, Developer Tools, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LeanEuclid](/tools/loganrjmurphy-leaneuclid.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 227d | 87d | | Open issues (now) | 5 | 945 | | Owner type | User | Organization | | Full report | [trust report](/tools/loganrjmurphy-leaneuclid/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | ## Shared compatibility - **Python**: [LeanEuclid](/tools/loganrjmurphy-leaneuclid.md) - Python runtime; [autogen](/tools/microsoft-autogen.md) - Python runtime ## Decision facts: autogen - **Requirements:** Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure. - **Adopt for:** AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models. ## Choose when ### Choose LeanEuclid if… - LeanEuclid is primarily Lean; autogen is Python. - License: LeanEuclid is MIT, autogen is CC-BY-4.0. - Tags unique to LeanEuclid: autoformalization, euclidean-geometry, formalization, lean. - Also covers Computer Vision, Developer Tools. - LeanEuclid ships Docker support for self-hosted deployment. ### Choose autogen if… - autogen is primarily Python; LeanEuclid is Lean. - License: autogen is CC-BY-4.0, LeanEuclid is MIT. - Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.. - Tags unique to autogen: agentic-agi, agents, ai, autogen. - Also covers AI Agents. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ## When NOT to use LeanEuclid - Last GitHub push was 228 days ago (slowing maintenance, Nov 25, 2025). Validate activity before betting a new project on LeanEuclid. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use autogen - If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. - When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. - You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities. ## Common questions ### What is the difference between LeanEuclid and autogen? LeanEuclid: LeanEuclid is a benchmark for autoformalization in the domain of Euclidean geometry, targeting the proof assistant Lean.. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose LeanEuclid over autogen? Choose LeanEuclid over autogen when LeanEuclid is primarily Lean; autogen is Python; License: LeanEuclid is MIT, autogen is CC-BY-4.0; Tags unique to LeanEuclid: autoformalization, euclidean-geometry, formalization, lean; Also covers Computer Vision, Developer Tools; LeanEuclid ships Docker support for self-hosted deployment. ### When should I choose autogen over LeanEuclid? Choose autogen over LeanEuclid when autogen is primarily Python; LeanEuclid is Lean; License: autogen is CC-BY-4.0, LeanEuclid is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: agentic-agi, agents, ai, autogen; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### When should I avoid LeanEuclid? Last GitHub push was 228 days ago (slowing maintenance, Nov 25, 2025). Validate activity before betting a new project on LeanEuclid. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid autogen? If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities. ### Is LeanEuclid or autogen more popular on GitHub? autogen has more GitHub stars (59,658 vs 136). Stars measure visibility, not whether either tool fits your constraints. ### Are LeanEuclid and autogen open source? Yes - both are open-source projects on GitHub (LeanEuclid: MIT, autogen: CC-BY-4.0). ### Where can I find alternatives to LeanEuclid or autogen? GraphCanon lists graph-backed alternatives at [LeanEuclid alternatives](/tools/loganrjmurphy-leaneuclid/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([LeanEuclid markdown twin](/tools/loganrjmurphy-leaneuclid/alternatives.md), [autogen markdown twin](/tools/microsoft-autogen/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/loganrjmurphy-leaneuclid-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LeanEuclid or autogen? LeanEuclid: Slowing. autogen: Steady. 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 LeanEuclid and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LeanEuclid trust report](/tools/loganrjmurphy-leaneuclid/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=loganrjmurphy-leaneuclid`](/api/graphcanon/graph?tool=loganrjmurphy-leaneuclid) - 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/_