--- title: "autogen vs llm-chain" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-sobelio-llm-chain" tools: ["microsoft-autogen", "sobelio-llm-chain"] --- # autogen vs llm-chain *GraphCanon updated Jul 12, 2026* ## Verdict Pick autogen when autogen is primarily Python; llm-chain is Rust; pick llm-chain when llm-chain is primarily Rust; autogen is Python. [autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. [llm-chain](https://llm-chain.xyz) has 1.6k stars, 142 forks, and 41 open issues, last pushed Oct 31, 2024. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [llm-chain's repository](https://github.com/sobelio/llm-chain). | | [autogen](/tools/microsoft-autogen.md) | [llm-chain](/tools/sobelio-llm-chain.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | `llm-chain` is a powerful rust crate for building chains in large language models allowing you to summarise text and complete complex tasks | | Stars | 59,658 | 1,601 | | Forks | 8,983 | 142 | | Open issues | 945 | 41 | | Language | Python | Rust | | 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 | AI Agents, LLM Frameworks | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [llm-chain](/tools/sobelio-llm-chain.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 87d | 617d | | Open issues (now) | 945 | 41 | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/sobelio-llm-chain/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… - autogen is primarily Python; llm-chain is Rust. - License: autogen is CC-BY-4.0, llm-chain 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. ### Choose llm-chain if… - llm-chain is primarily Rust; autogen is Python. - License: llm-chain is MIT, autogen is CC-BY-4.0. - Tags unique to llm-chain: langchain, llama, llm, openai. ## 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 llm-chain - Last GitHub push was 618 days ago (dormant maintenance, Oct 31, 2024). Validate activity before betting a new project on llm-chain. - 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 llm-chain? autogen: A programming framework for agentic AI. llm-chain: `llm-chain` is a powerful rust crate for building chains in large language models allowing you to summarise text and complete complex tasks. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over llm-chain? Choose autogen over llm-chain when autogen is primarily Python; llm-chain is Rust; License: autogen is CC-BY-4.0, llm-chain 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 choose llm-chain over autogen? Choose llm-chain over autogen when llm-chain is primarily Rust; autogen is Python; License: llm-chain is MIT, autogen is CC-BY-4.0; Tags unique to llm-chain: langchain, llama, llm, openai. ### 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 llm-chain? Last GitHub push was 618 days ago (dormant maintenance, Oct 31, 2024). Validate activity before betting a new project on llm-chain. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is autogen or llm-chain more popular on GitHub? autogen has more GitHub stars (59,658 vs 1,601). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and llm-chain open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, llm-chain: MIT). ### Where can I find alternatives to autogen or llm-chain? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [llm-chain alternatives](/tools/sobelio-llm-chain/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [llm-chain markdown twin](/tools/sobelio-llm-chain/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-sobelio-llm-chain.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or llm-chain? autogen: Steady. llm-chain: 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 llm-chain? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [llm-chain trust report](/tools/sobelio-llm-chain/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/_