--- title: "parlor vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fikrikarim-parlor-vs-microsoft-autogen" tools: ["fikrikarim-parlor", "microsoft-autogen"] --- # parlor vs autogen *GraphCanon updated Jul 11, 2026* ## Verdict Pick parlor when parlor is primarily HTML; autogen is Python; pick autogen when autogen is primarily Python; parlor is HTML. [parlor](https://github.com/fikrikarim/parlor) reports 1.9k GitHub stars, 240 forks, and 7 open issues, last pushed Jul 11, 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 [parlor's repository](https://github.com/fikrikarim/parlor) and [autogen's repository](https://github.com/microsoft/autogen). | | [parlor](/tools/fikrikarim-parlor.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro. | A programming framework for agentic AI | | Stars | 1,894 | 59,658 | | Forks | 240 | 8,983 | | Open issues | 7 | 945 | | Language | HTML | 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 | Computer Vision, LLM Frameworks, Speech & Audio | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [parlor](/tools/fikrikarim-parlor.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 87d | | Open issues (now) | 7 | 945 | | Owner type | User | Organization | | Full report | [trust report](/tools/fikrikarim-parlor/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | ## Shared compatibility - **Python**: [parlor](/tools/fikrikarim-parlor.md) - Python runtime; [autogen](/tools/microsoft-autogen.md) - Python runtime ## 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 parlor if… - parlor is primarily HTML; autogen is Python. - License: parlor is Apache-2.0, autogen is CC-BY-4.0. - Tags unique to parlor: apple-silicon, gemma, kokoro, litert-lm. - Also covers Computer Vision, Speech & Audio. ### Choose autogen if… - autogen is primarily Python; parlor is HTML. - License: autogen is CC-BY-4.0, parlor 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 parlor - 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 parlor and autogen? parlor: On-device, real-time multimodal AI. Have natural voice and vision conversations with an AI that runs entirely on your machine. Powered by Gemma 4 E2B and Kokoro.. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose parlor over autogen? Choose parlor over autogen when parlor is primarily HTML; autogen is Python; License: parlor is Apache-2.0, autogen is CC-BY-4.0; Tags unique to parlor: apple-silicon, gemma, kokoro, litert-lm; Also covers Computer Vision, Speech & Audio. ### When should I choose autogen over parlor? Choose autogen over parlor when autogen is primarily Python; parlor is HTML; License: autogen is CC-BY-4.0, parlor 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 parlor? 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 parlor or autogen more popular on GitHub? autogen has more GitHub stars (59,658 vs 1,894). Stars measure visibility, not whether either tool fits your constraints. ### Are parlor and autogen open source? Yes - both are open-source projects on GitHub (parlor: Apache-2.0, autogen: CC-BY-4.0). ### Where can I find alternatives to parlor or autogen? GraphCanon lists graph-backed alternatives at [parlor alternatives](/tools/fikrikarim-parlor/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([parlor markdown twin](/tools/fikrikarim-parlor/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/fikrikarim-parlor-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, parlor or autogen? parlor: Very active. 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 parlor and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [parlor trust report](/tools/fikrikarim-parlor/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=fikrikarim-parlor`](/api/graphcanon/graph?tool=fikrikarim-parlor) - 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/_