--- title: "alfred-workflow vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/deanishe-alfred-workflow-vs-microsoft-autogen" tools: ["deanishe-alfred-workflow", "microsoft-autogen"] --- # alfred-workflow vs autogen *GraphCanon updated Jul 15, 2026* ## Verdict Pick alfred-workflow when license: alfred-workflow is Other, autogen is CC-BY-4.0; pick autogen when license: autogen is CC-BY-4.0, alfred-workflow is Other. [alfred-workflow](https://www.deanishe.net/alfred-workflow/) reports 3.0k GitHub stars, 236 forks, and 21 open issues, last pushed Jan 10, 2023. [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 [alfred-workflow's repository](https://github.com/deanishe/alfred-workflow) and [autogen's repository](https://github.com/microsoft/autogen). | | [alfred-workflow](/tools/deanishe-alfred-workflow.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | Full-featured library for writing Alfred 3 & 4 workflows | A programming framework for agentic AI | | Stars | 2,972 | 59,658 | | Forks | 236 | 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 | Other | CC-BY-4.0 | | Categories | LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [alfred-workflow](/tools/deanishe-alfred-workflow.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 1281d | 87d | | Open issues (now) | 21 | 945 | | Owner type | User | Organization | | Full report | [trust report](/tools/deanishe-alfred-workflow/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | ## Shared compatibility - **Python**: [alfred-workflow](/tools/deanishe-alfred-workflow.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 alfred-workflow if… - License: alfred-workflow is Other, autogen is CC-BY-4.0. - Tags unique to alfred-workflow: alfred, alfred-3, alfred-workflow, alfred3. - Leaner open-issue backlog (21). ### Choose autogen if… - License: autogen is CC-BY-4.0, alfred-workflow is Other. - 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 alfred-workflow - Last GitHub push was 1282 days ago (dormant maintenance, Jan 10, 2023). Validate activity before betting a new project on alfred-workflow. - 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 alfred-workflow and autogen? alfred-workflow: Full-featured library for writing Alfred 3 & 4 workflows. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose alfred-workflow over autogen? Choose alfred-workflow over autogen when License: alfred-workflow is Other, autogen is CC-BY-4.0; Tags unique to alfred-workflow: alfred, alfred-3, alfred-workflow, alfred3; Leaner open-issue backlog (21). ### When should I choose autogen over alfred-workflow? Choose autogen over alfred-workflow when License: autogen is CC-BY-4.0, alfred-workflow is Other; 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 alfred-workflow? Last GitHub push was 1282 days ago (dormant maintenance, Jan 10, 2023). Validate activity before betting a new project on alfred-workflow. 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 alfred-workflow or autogen more popular on GitHub? autogen has more GitHub stars (59,658 vs 2,972). Stars measure visibility, not whether either tool fits your constraints. ### Are alfred-workflow and autogen open source? Yes - both are open-source projects on GitHub (alfred-workflow: Other, autogen: CC-BY-4.0). ### Where can I find alternatives to alfred-workflow or autogen? GraphCanon lists graph-backed alternatives at [alfred-workflow alternatives](/tools/deanishe-alfred-workflow/alternatives) and [autogen alternatives](/tools/microsoft-autogen/alternatives) ([alfred-workflow markdown twin](/tools/deanishe-alfred-workflow/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/deanishe-alfred-workflow-vs-microsoft-autogen.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, alfred-workflow or autogen? alfred-workflow: Dormant. 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 alfred-workflow and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [alfred-workflow trust report](/tools/deanishe-alfred-workflow/trust); [autogen trust report](/tools/microsoft-autogen/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=deanishe-alfred-workflow`](/api/graphcanon/graph?tool=deanishe-alfred-workflow) - 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/_