--- title: "autogen vs promptmage" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-tsterbak-promptmage" tools: ["microsoft-autogen", "tsterbak-promptmage"] --- # autogen vs promptmage *GraphCanon updated Jul 11, 2026* ## Verdict Pick autogen when license: autogen is CC-BY-4.0, promptmage is MIT; pick promptmage when license: promptmage is MIT, autogen is CC-BY-4.0. [autogen](https://microsoft.github.io/autogen/) reports 60k GitHub stars, 9.0k forks, and 945 open issues, last pushed Apr 15, 2026. [promptmage](https://promptmage.io) has 115 stars, 8 forks, and 8 open issues, last pushed Oct 21, 2024. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [promptmage's repository](https://github.com/tsterbak/promptmage). | | [autogen](/tools/microsoft-autogen.md) | [promptmage](/tools/tsterbak-promptmage.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | simplifies the process of creating and managing LLM workflows. | | Stars | 59,658 | 115 | | Forks | 8,983 | 8 | | Open issues | 945 | 8 | | 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 | CC-BY-4.0 | MIT | | Categories | AI Agents, LLM Frameworks | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [promptmage](/tools/tsterbak-promptmage.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 87d | 628d | | Open issues (now) | 945 | 8 | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/tsterbak-promptmage/trust.md) | ## Shared compatibility - **Python**: [autogen](/tools/microsoft-autogen.md) - Python runtime; [promptmage](/tools/tsterbak-promptmage.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 autogen if… - License: autogen is CC-BY-4.0, promptmage 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 promptmage if… - License: promptmage is MIT, autogen is CC-BY-4.0. - Tags unique to promptmage: llm, nlp-library, nlp-machine-learning, prompt-engineering. - Also covers Developer Tools. ## 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 promptmage - Last GitHub push was 628 days ago (dormant maintenance, Oct 21, 2024). Validate activity before betting a new project on promptmage. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - 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 promptmage? autogen: A programming framework for agentic AI. promptmage: simplifies the process of creating and managing LLM workflows.. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over promptmage? Choose autogen over promptmage when License: autogen is CC-BY-4.0, promptmage 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 promptmage over autogen? Choose promptmage over autogen when License: promptmage is MIT, autogen is CC-BY-4.0; Tags unique to promptmage: llm, nlp-library, nlp-machine-learning, prompt-engineering; Also covers Developer Tools. ### 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 promptmage? Last GitHub push was 628 days ago (dormant maintenance, Oct 21, 2024). Validate activity before betting a new project on promptmage. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is autogen or promptmage more popular on GitHub? autogen has more GitHub stars (59,658 vs 115). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and promptmage open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, promptmage: MIT). ### Where can I find alternatives to autogen or promptmage? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [promptmage alternatives](/tools/tsterbak-promptmage/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [promptmage markdown twin](/tools/tsterbak-promptmage/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-tsterbak-promptmage.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or promptmage? autogen: Steady. promptmage: 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 promptmage? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [promptmage trust report](/tools/tsterbak-promptmage/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/_