--- title: "tree-of-thoughts vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kyegomez-tree-of-thoughts-vs-microsoft-autogen" tools: ["kyegomez-tree-of-thoughts", "microsoft-autogen"] --- # tree-of-thoughts vs autogen *GraphCanon updated Jul 11, 2026* ## Verdict Pick tree-of-thoughts when license: tree-of-thoughts is Apache-2.0, autogen is CC-BY-4.0; pick autogen when license: autogen is CC-BY-4.0, tree-of-thoughts is Apache-2.0. [tree-of-thoughts](https://discord.gg/qUtxnK2NMf) reports 4.6k GitHub stars, 374 forks, and 21 open issues, last pushed Jul 29, 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 [tree-of-thoughts's repository](https://github.com/kyegomez/tree-of-thoughts) and [autogen's repository](https://github.com/microsoft/autogen). | | [tree-of-thoughts](/tools/kyegomez-tree-of-thoughts.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70% | A programming framework for agentic AI | | Stars | 4,588 | 59,658 | | Forks | 374 | 8,983 | | Open issues | 21 | 945 | | 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 | Apache-2.0 | CC-BY-4.0 | | Categories | LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [tree-of-thoughts](/tools/kyegomez-tree-of-thoughts.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 347d | 87d | | Open issues (now) | 21 | 945 | | Owner type | User | Organization | | Full report | [trust report](/tools/kyegomez-tree-of-thoughts/trust.md) | [trust report](/tools/microsoft-autogen/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 tree-of-thoughts if… - License: tree-of-thoughts is Apache-2.0, autogen is CC-BY-4.0. - Tags unique to tree-of-thoughts: artificial-intelligence, deep-learning, gpt4, multimodal. - Leaner open-issue backlog (21). ### Choose autogen if… - License: autogen is CC-BY-4.0, tree-of-thoughts is Apache-2.0. - 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 tree-of-thoughts - Last GitHub push was 348 days ago (slowing maintenance, Jul 29, 2025). Validate activity before betting a new project on tree-of-thoughts. - 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 tree-of-thoughts and autogen? tree-of-thoughts: Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose tree-of-thoughts over autogen? Choose tree-of-thoughts over autogen when License: tree-of-thoughts is Apache-2.0, autogen is CC-BY-4.0; Tags unique to tree-of-thoughts: artificial-intelligence, deep-learning, gpt4, multimodal; Leaner open-issue backlog (21). ### When should I choose autogen over tree-of-thoughts? Choose autogen over tree-of-thoughts when License: autogen is CC-BY-4.0, tree-of-thoughts is Apache-2.0; 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 tree-of-thoughts? Last GitHub push was 348 days ago (slowing maintenance, Jul 29, 2025). Validate activity before betting a new project on tree-of-thoughts. 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 tree-of-thoughts or autogen more popular on GitHub? autogen has more GitHub stars (59,658 vs 4,588). Stars measure visibility, not whether either tool fits your constraints. ### Are tree-of-thoughts and autogen open source? Yes - both are open-source projects on GitHub (tree-of-thoughts: Apache-2.0, autogen: CC-BY-4.0). ### Where can I find alternatives to tree-of-thoughts or autogen? GraphCanon lists graph-backed alternatives at [tree-of-thoughts alternatives](/tools/kyegomez-tree-of-thoughts/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([tree-of-thoughts markdown twin](/tools/kyegomez-tree-of-thoughts/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/kyegomez-tree-of-thoughts-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, tree-of-thoughts or autogen? tree-of-thoughts: 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 tree-of-thoughts and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [tree-of-thoughts trust report](/tools/kyegomez-tree-of-thoughts/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kyegomez-tree-of-thoughts`](/api/graphcanon/graph?tool=kyegomez-tree-of-thoughts) - 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/_