--- title: "langroid vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langroid-langroid-vs-microsoft-autogen" tools: ["langroid-langroid", "microsoft-autogen"] --- # langroid vs autogen *GraphCanon updated Aug 7, 2026* ## Verdict Pick langroid if langroid specializes in multi-agent systems with large language models, providing a Python framework for function-calling and chat integrations; pick autogen if 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. [langroid](https://langroid.github.io/langroid/) reports 4.1k GitHub stars, 390 forks, and 75 open issues, last pushed Jul 29, 2026. [autogen](https://microsoft.github.io/autogen/) has 60k stars, 9.1k forks, and 970 open issues, last pushed Apr 15, 2026. Figures are from public GitHub metadata via [langroid's repository](https://github.com/langroid/langroid) and [autogen's repository](https://github.com/microsoft/autogen). | | [langroid](/tools/langroid-langroid.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | Harness LLMs with Multi-Agent Programming | A programming framework for agentic AI | | Stars | 4,090 | 60,139 | | Forks | 390 | 9,059 | | Open issues | 75 | 970 | | Language | Python | Python | | Adopt for | Langroid specializes in multi-agent systems with large language models, providing a Python framework for function-calling and chat integrations. | 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 | AI Agents, Data & Retrieval, Inference & Serving, Model Training | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langroid](/tools/langroid-langroid.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 8d | 107d | | Open issues (now) | 75 | 970 | | Full report | [trust report](/tools/langroid-langroid/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | ## Shared compatibility - **Python**: [langroid](/tools/langroid-langroid.md) - Python runtime; [autogen](/tools/microsoft-autogen.md) - Python runtime ## Decision facts: langroid - **Adopt for:** Langroid specializes in multi-agent systems with large language models, providing a Python framework for function-calling and chat integrations. ## 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 langroid if… - License: langroid is MIT, autogen is CC-BY-4.0. - Tags unique to langroid: function-calling, gpt, information-retrieval, language-model. - Also covers Data & Retrieval, Inference & Serving, Model Training. - langroid ships Docker support for self-hosted deployment. - You need to integrate multiple agents working with large language models. ### Choose autogen if… - License: autogen is CC-BY-4.0, langroid 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, autogen, autogen-ecosystem, llm-framework. - Also covers LLM Frameworks. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ## When NOT to use langroid - You require support for a broad range of programming languages beyond Python. - The project scope does not include multi-agent interactions or function-calling capabilities. ## 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 langroid and autogen? langroid: Harness LLMs with Multi-Agent Programming. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose langroid over autogen? Choose langroid over autogen when License: langroid is MIT, autogen is CC-BY-4.0; Tags unique to langroid: function-calling, gpt, information-retrieval, language-model; Also covers Data & Retrieval, Inference & Serving, Model Training; langroid ships Docker support for self-hosted deployment; You need to integrate multiple agents working with large language models. ### When should I choose autogen over langroid? Choose autogen over langroid when License: autogen is CC-BY-4.0, langroid 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, autogen, autogen-ecosystem, llm-framework; Also covers LLM Frameworks; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### When should I avoid langroid? You require support for a broad range of programming languages beyond Python. The project scope does not include multi-agent interactions or function-calling capabilities. ### 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 langroid or autogen more popular on GitHub? autogen has more GitHub stars (60,139 vs 4,090). Stars measure visibility, not whether either tool fits your constraints. ### Are langroid and autogen open source? Yes - both are open-source projects on GitHub (langroid: MIT, autogen: CC-BY-4.0). ### Where can I find alternatives to langroid or autogen? GraphCanon lists graph-backed alternatives at [langroid alternatives](/tools/langroid-langroid/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([langroid markdown twin](/tools/langroid-langroid/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/langroid-langroid-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langroid or autogen? langroid: Active. autogen: Slowing. 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 langroid and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langroid trust report](/tools/langroid-langroid/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langroid-langroid`](/api/graphcanon/graph?tool=langroid-langroid) - 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/_