--- title: "autogen vs amica" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-semperai-amica" tools: ["microsoft-autogen", "semperai-amica"] --- # autogen vs amica *GraphCanon updated Jul 11, 2026* ## Verdict Pick autogen when autogen is primarily Python; amica is TypeScript; pick amica when amica is primarily TypeScript; 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. [amica](https://heyamica.com) has 1.6k stars, 262 forks, and 22 open issues, last pushed Jul 23, 2025. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [amica's repository](https://github.com/semperai/amica). | | [autogen](/tools/microsoft-autogen.md) | [amica](/tools/semperai-amica.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | Amica is an open source interface for interactive communication with 3D characters with voice synthesis and speech recognition. | | Stars | 59,658 | 1,560 | | Forks | 8,983 | 262 | | Open issues | 945 | 22 | | Language | Python | TypeScript | | 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 | Computer Vision, LLM Frameworks, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [amica](/tools/semperai-amica.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 87d | 352d | | Open issues (now) | 945 | 22 | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/semperai-amica/trust.md) | ## Shared compatibility - **Node.js**: [autogen](/tools/microsoft-autogen.md) - Node.js runtime; [amica](/tools/semperai-amica.md) - Node.js 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 autogen if… - autogen is primarily Python; amica is TypeScript. - License: autogen is CC-BY-4.0, amica 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, autogen, autogen-ecosystem. - Also covers AI Agents. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### Choose amica if… - amica is primarily TypeScript; autogen is Python. - License: amica is MIT, autogen is CC-BY-4.0. - Tags unique to amica: assistant-chat-bots, computer-vision, llm, speech-recognition. - Also covers Computer Vision, Speech & Audio. - amica ships Docker support for self-hosted deployment. ## 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 amica - Last GitHub push was 353 days ago (slowing maintenance, Jul 23, 2025). Validate activity before betting a new project on amica. - 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 amica? autogen: A programming framework for agentic AI. amica: Amica is an open source interface for interactive communication with 3D characters with voice synthesis and speech recognition.. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over amica? Choose autogen over amica when autogen is primarily Python; amica is TypeScript; License: autogen is CC-BY-4.0, amica 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, 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 choose amica over autogen? Choose amica over autogen when amica is primarily TypeScript; autogen is Python; License: amica is MIT, autogen is CC-BY-4.0; Tags unique to amica: assistant-chat-bots, computer-vision, llm, speech-recognition; Also covers Computer Vision, Speech & Audio; amica ships Docker support for self-hosted deployment. ### 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 amica? Last GitHub push was 353 days ago (slowing maintenance, Jul 23, 2025). Validate activity before betting a new project on amica. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is autogen or amica more popular on GitHub? autogen has more GitHub stars (59,658 vs 1,560). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and amica open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, amica: MIT). ### Where can I find alternatives to autogen or amica? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [amica alternatives](/tools/semperai-amica/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [amica markdown twin](/tools/semperai-amica/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-semperai-amica.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or amica? autogen: Steady. amica: Slowing. 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 amica? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [amica trust report](/tools/semperai-amica/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/_