--- title: "autogen vs LLFn" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-orgexyz-llfn" tools: ["microsoft-autogen", "orgexyz-llfn"] --- # autogen vs LLFn *GraphCanon updated Jul 11, 2026* ## Verdict Pick autogen when license: autogen is CC-BY-4.0, LLFn is MIT; pick LLFn when license: LLFn is MIT, autogen is CC-BY-4.0. [autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. [LLFn](https://llfn.orge.xyz/) has 96 stars, 7 forks, and 1 open issues, last pushed Jul 30, 2023. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [LLFn's repository](https://github.com/orgexyz/LLFn). | | [autogen](/tools/microsoft-autogen.md) | [LLFn](/tools/orgexyz-llfn.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | A light-weight framework for creating applications using LLMs | | Stars | 59,658 | 96 | | Forks | 8,983 | 7 | | Open issues | 945 | 1 | | Language | Python | 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 | CC-BY-4.0 | MIT | | Categories | LLM Frameworks, AI Agents | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [LLFn](/tools/orgexyz-llfn.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 87d | 1076d | | Open issues (now) | 945 | 1 | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/orgexyz-llfn/trust.md) | ## 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 autogen if… - License: autogen is CC-BY-4.0, LLFn 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: llm-framework, autogen, agents, ai. - Also covers AI Agents. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### Choose LLFn if… - License: LLFn is MIT, autogen is CC-BY-4.0. - Tags unique to LLFn: python. - Leaner open-issue backlog (1). ## 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. ## When NOT to use LLFn - Last GitHub push was 1077 days ago (dormant maintenance, Jul 30, 2023). Validate activity before betting a new project on LLFn. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between autogen and LLFn? autogen: A programming framework for agentic AI. LLFn: A light-weight framework for creating applications using LLMs. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over LLFn? Choose autogen over LLFn when License: autogen is CC-BY-4.0, LLFn 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: llm-framework, autogen, agents, ai; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### When should I choose LLFn over autogen? Choose LLFn over autogen when License: LLFn is MIT, autogen is CC-BY-4.0; Tags unique to LLFn: python; Leaner open-issue backlog (1). ### 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. ### When should I avoid LLFn? Last GitHub push was 1077 days ago (dormant maintenance, Jul 30, 2023). Validate activity before betting a new project on LLFn. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is autogen or LLFn more popular on GitHub? autogen has more GitHub stars (59,658 vs 96). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and LLFn open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, LLFn: MIT). ### Where can I find alternatives to autogen or LLFn? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [LLFn alternatives](/tools/orgexyz-llfn/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [LLFn markdown twin](/tools/orgexyz-llfn/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/microsoft-autogen-vs-orgexyz-llfn.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or LLFn? autogen: Steady. LLFn: Dormant. 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 autogen and LLFn? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [LLFn trust report](/tools/orgexyz-llfn/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-autogen`](/api/graphcanon/graph?tool=microsoft-autogen) - 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/_