--- title: "autogen vs autotab-starter" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-planetary-computers-autotab-starter" tools: ["microsoft-autogen", "planetary-computers-autotab-starter"] --- # autogen vs autotab-starter *GraphCanon updated Jul 15, 2026* ## Verdict Pick autogen when license: autogen is CC-BY-4.0, autotab-starter is MIT; pick autotab-starter when license: autotab-starter 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. [autotab-starter](https://autotab.com) has 1.0k stars, 67 forks, and 5 open issues, last pushed Dec 12, 2023. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [autotab-starter's repository](https://github.com/Planetary-Computers/autotab-starter). | | [autogen](/tools/microsoft-autogen.md) | [autotab-starter](/tools/planetary-computers-autotab-starter.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | Build browser agents for real world tasks | | Stars | 59,658 | 1,010 | | Forks | 8,983 | 67 | | Open issues | 945 | 5 | | 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 | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [autotab-starter](/tools/planetary-computers-autotab-starter.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 87d | 945d | | Open issues (now) | 945 | 5 | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/planetary-computers-autotab-starter/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 autogen if… - License: autogen is CC-BY-4.0, autotab-starter 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 LLM Frameworks. - You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### Choose autotab-starter if… - License: autotab-starter is MIT, autogen is CC-BY-4.0. - Tags unique to autotab-starter: agent, automation, browser, python. - Leaner open-issue backlog (5). ## 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 autotab-starter - Last GitHub push was 945 days ago (dormant maintenance, Dec 12, 2023). Validate activity before betting a new project on autotab-starter. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## Common questions ### What is the difference between autogen and autotab-starter? autogen: A programming framework for agentic AI. autotab-starter: Build browser agents for real world tasks. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over autotab-starter? Choose autogen over autotab-starter when License: autogen is CC-BY-4.0, autotab-starter 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 LLM Frameworks; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client. ### When should I choose autotab-starter over autogen? Choose autotab-starter over autogen when License: autotab-starter is MIT, autogen is CC-BY-4.0; Tags unique to autotab-starter: agent, automation, browser, python; Leaner open-issue backlog (5). ### 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 autotab-starter? Last GitHub push was 945 days ago (dormant maintenance, Dec 12, 2023). Validate activity before betting a new project on autotab-starter. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### Is autogen or autotab-starter more popular on GitHub? autogen has more GitHub stars (59,658 vs 1,010). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and autotab-starter open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, autotab-starter: MIT). ### Where can I find alternatives to autogen or autotab-starter? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [autotab-starter alternatives](/tools/planetary-computers-autotab-starter/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [autotab-starter markdown twin](/tools/planetary-computers-autotab-starter/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-planetary-computers-autotab-starter.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or autotab-starter? autogen: Steady. autotab-starter: 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 autotab-starter? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [autotab-starter trust report](/tools/planetary-computers-autotab-starter/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/_