--- title: "gpt-home vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/judahpaul16-gpt-home-vs-microsoft-autogen" tools: ["judahpaul16-gpt-home", "microsoft-autogen"] --- # gpt-home vs autogen *GraphCanon updated Jul 15, 2026* ## Verdict Pick gpt-home when license: gpt-home is GPL-3.0, autogen is CC-BY-4.0; pick autogen when license: autogen is CC-BY-4.0, gpt-home is GPL-3.0. [gpt-home](https://hub.docker.com/r/judahpaul/gpt-home) reports 644 GitHub stars, 66 forks, and 0 open issues, last pushed Mar 17, 2026. [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 [gpt-home's repository](https://github.com/judahpaul16/gpt-home) and [autogen's repository](https://github.com/microsoft/autogen). | | [gpt-home](/tools/judahpaul16-gpt-home.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | ChatGPT at home! A better alternative to commercial smart home assistants, built on the Raspberry Pi using LiteLLM and LangGraph. | A programming framework for agentic AI | | Stars | 644 | 59,658 | | Forks | 66 | 8,983 | | Open issues | 0 | 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 | GPL-3.0 | CC-BY-4.0 | | Categories | LLM Frameworks, Speech & Audio | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [gpt-home](/tools/judahpaul16-gpt-home.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 119d | 87d | | Open issues (now) | 0 | 945 | | Owner type | User | Organization | | Full report | [trust report](/tools/judahpaul16-gpt-home/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 gpt-home if… - License: gpt-home is GPL-3.0, autogen is CC-BY-4.0. - Tags unique to gpt-home: automation, docker, fastapi, home-assistant. - Also covers Speech & Audio. ### Choose autogen if… - License: autogen is CC-BY-4.0, gpt-home is GPL-3.0. - 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, autogen, autogen-ecosystem. - 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 gpt-home - Last GitHub push was 119 days ago (slowing maintenance, Mar 17, 2026). Validate activity before betting a new project on gpt-home. - 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 gpt-home and autogen? gpt-home: ChatGPT at home! A better alternative to commercial smart home assistants, built on the Raspberry Pi using LiteLLM and LangGraph.. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose gpt-home over autogen? Choose gpt-home over autogen when License: gpt-home is GPL-3.0, autogen is CC-BY-4.0; Tags unique to gpt-home: automation, docker, fastapi, home-assistant; Also covers Speech & Audio. ### When should I choose autogen over gpt-home? Choose autogen over gpt-home when License: autogen is CC-BY-4.0, gpt-home is GPL-3.0; 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, autogen, autogen-ecosystem; 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 gpt-home? Last GitHub push was 119 days ago (slowing maintenance, Mar 17, 2026). Validate activity before betting a new project on gpt-home. 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 gpt-home or autogen more popular on GitHub? autogen has more GitHub stars (59,658 vs 644). Stars measure visibility, not whether either tool fits your constraints. ### Are gpt-home and autogen open source? Yes - both are open-source projects on GitHub (gpt-home: GPL-3.0, autogen: CC-BY-4.0). ### Where can I find alternatives to gpt-home or autogen? GraphCanon lists graph-backed alternatives at [gpt-home alternatives](/tools/judahpaul16-gpt-home/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([gpt-home markdown twin](/tools/judahpaul16-gpt-home/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/judahpaul16-gpt-home-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, gpt-home or autogen? gpt-home: 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 gpt-home and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpt-home trust report](/tools/judahpaul16-gpt-home/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=judahpaul16-gpt-home`](/api/graphcanon/graph?tool=judahpaul16-gpt-home) - 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/_