--- title: "autogen vs wanwu" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-autogen-vs-unicomai-wanwu" tools: ["microsoft-autogen", "unicomai-wanwu"] --- # autogen vs wanwu *GraphCanon updated Sep 20, 2026* ## Verdict Pick autogen if autoGen is a Python-based framework for developing agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction; pick wanwu if wanwu is an enterprise-grade AI agent development platform from China Unicom that supports visual interface creation, API integration, and privilege-rich local operations. [autogen](https://microsoft.github.io/autogen/) reports 61k GitHub stars, 9.2k forks, and 1.1k open issues, last pushed Apr 15, 2026. [wanwu](https://github.com/UnicomAI/wanwu) has 2.5k stars, 141 forks, and 41 open issues, last pushed Sep 4, 2026. Figures are from public GitHub metadata via [autogen's repository](https://github.com/microsoft/autogen) and [wanwu's repository](https://github.com/UnicomAI/wanwu). | | [autogen](/tools/microsoft-autogen.md) | [wanwu](/tools/unicomai-wanwu.md) | | --- | --- | --- | | Tagline | A programming framework for agentic AI | Enterprise-grade multi-tenant AI agent development platform | | Stars | 61,036 | 2,472 | | Forks | 9,232 | 141 | | Open issues | 1,075 | 41 | | Language | Python | Go | | Adopt for | AutoGen is a Python-based framework for developing agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction. | Wanwu is an enterprise-grade AI agent development platform from China Unicom that supports visual interface creation, API integration, and privilege-rich local operations. | | Persona | - | - | | Runtime | - | - | | License | CC-BY-4.0 | Apache-2.0 allows free extension, secondary development, and commercial use with full source code access under permissive terms. | | Categories | AI Agents, LLM Frameworks | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [autogen](/tools/microsoft-autogen.md) | [wanwu](/tools/unicomai-wanwu.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Active (82%) | | Days since push | 155d | 11d | | Open issues (now) | 1.1k | 41 | | Stars delta | +897 (30d) | -120 (30d) | | Open issues delta | +105 (30d) | +5 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/microsoft-autogen/trust.md) | [trust report](/tools/unicomai-wanwu/trust.md) | ## Decision facts: autogen - **Requirements:** AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks. - **Adopt for:** AutoGen is a Python-based framework for developing agentic AI systems, offering tools for integrating with external models and services, and a no-code GUI for easier interaction. ## Decision facts: wanwu - **Adopt for:** Wanwu is an enterprise-grade AI agent development platform from China Unicom that supports visual interface creation, API integration, and privilege-rich local operations. - **License detail:** Apache-2.0 allows free extension, secondary development, and commercial use with full source code access under permissive terms. ## Choose when ### Choose autogen if… - autogen is primarily Python; wanwu is Go. - License: autogen is CC-BY-4.0, wanwu is Apache-2.0. - Requirements: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks.. - Tags unique to autogen: agentic, agentic-agi, agents, ai. - Also covers LLM Frameworks. - When you need a structured approach to create and manage AI agents with Python. ### Choose wanwu if… - wanwu is primarily Go; autogen is Python. - License: wanwu is Apache-2.0, autogen is CC-BY-4.0. - Tags unique to wanwu: agent, agentic-ai, development, genai. - When you need rapid on-site validation via a zero-threshold visual interface for creating agents. ## When NOT to use autogen - If your project requires a version of Python earlier than 3.10, as AutoGen is not compatible. - When you need a framework that does not rely on potentially untrusted MCP servers for execution. - If your project does not require or benefit from the no-code GUI provided by AutoGen Studio. - When you prefer a framework that does not involve the complexity of setting up and managing multiple MCP servers. ## When NOT to use wanwu - Avoid if your team prefers coding over a visual interface for application development. - Not suitable if you seek tools that do not support Xinchuang compliance and ecosystem integration. - Skip if your project does not require or benefit from multiple deployment methods or a multi-tenant architecture. ## Common questions ### What is the difference between autogen and wanwu? autogen: A programming framework for agentic AI. wanwu: Enterprise-grade multi-tenant AI agent development platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose autogen over wanwu? Choose autogen over wanwu when autogen is primarily Python; wanwu is Go; License: autogen is CC-BY-4.0, wanwu is Apache-2.0; Requirements: AutoGen requires Python 3.10 or later.; Installation of AutoGen Studio is optional for no-code GUI interaction.; Ensure trusted MCP servers are used to avoid security risks.; Tags unique to autogen: agentic, agentic-agi, agents, ai; Also covers LLM Frameworks; When you need a structured approach to create and manage AI agents with Python. ### When should I choose wanwu over autogen? Choose wanwu over autogen when wanwu is primarily Go; autogen is Python; License: wanwu is Apache-2.0, autogen is CC-BY-4.0; Tags unique to wanwu: agent, agentic-ai, development, genai; When you need rapid on-site validation via a zero-threshold visual interface for creating agents. ### When should I avoid autogen? If your project requires a version of Python earlier than 3.10, as AutoGen is not compatible. When you need a framework that does not rely on potentially untrusted MCP servers for execution. If your project does not require or benefit from the no-code GUI provided by AutoGen Studio. When you prefer a framework that does not involve the complexity of setting up and managing multiple MCP servers. ### When should I avoid wanwu? Avoid if your team prefers coding over a visual interface for application development. Not suitable if you seek tools that do not support Xinchuang compliance and ecosystem integration. Skip if your project does not require or benefit from multiple deployment methods or a multi-tenant architecture. ### Is autogen or wanwu more popular on GitHub? autogen has more GitHub stars (61,036 vs 2,472). Stars measure visibility, not whether either tool fits your constraints. ### Are autogen and wanwu open source? Yes - both are open-source projects on GitHub (autogen: CC-BY-4.0, wanwu: Apache-2.0). ### Where can I find alternatives to autogen or wanwu? GraphCanon lists graph-backed alternatives at [autogen alternatives](/tools/microsoft-autogen/alternatives) and [wanwu alternatives](/tools/unicomai-wanwu/alternatives) ([autogen markdown twin](/tools/microsoft-autogen/alternatives.md), [wanwu markdown twin](/tools/unicomai-wanwu/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-unicomai-wanwu.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, autogen or wanwu? autogen: Slowing. wanwu: Active. 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 wanwu? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [autogen trust report](/tools/microsoft-autogen/trust); [wanwu trust report](/tools/unicomai-wanwu/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/_