--- title: "edict vs autogen" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cft0808-edict-vs-microsoft-autogen" tools: ["cft0808-edict", "microsoft-autogen"] --- # edict vs autogen Neutral, constraint-first comparison with live GitHub stats. | | [edict](/tools/cft0808-edict.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Tagline | 🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails | A framework for creating multi-agent AI applications | | Stars | 16,172 | 59,573 | | Forks | 1,701 | 8,967 | | Open issues | 38 | 930 | | Language | Python | Python | | Adopt for | Edict is an orchestration system inspired by ancient Chinese 'Three Provinces and Six Ministries' governance, offering a real-time dashboard for 12 specialized AI agents with audit trails. | AutoGen is a framework for developing multi-agent AI applications that can act autonomously or alongside humans. It's currently in maintenance mode with no additional features planned and users are encouraged to migrate. | | Persona | - | - | | Runtime | - | - | | License | MIT | CC-BY-4.0 | | Categories | AI Agents | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [edict](/tools/cft0808-edict.md) | [autogen](/tools/microsoft-autogen.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 1d | 83d | | Open issues (now) | 38 | 930 | | Owner type | User | Organization | | Security scan | Not scanned | No lockfile | | Full report | [trust report](/tools/cft0808-edict/trust.md) | [trust report](/tools/microsoft-autogen/trust.md) | **Typed relationship:** edict _(alternative)_ autogen Autogen and Edict both focus on multi-agent AI applications, but Edict emphasizes a structured governance framework with real-time monitoring features that Autogen does not explicitly mention. ## Shared compatibility - **Python**: [edict](/tools/cft0808-edict.md) - Python runtime; [autogen](/tools/microsoft-autogen.md) - Python runtime ## Decision facts: edict - **Adopt for:** Edict is an orchestration system inspired by ancient Chinese 'Three Provinces and Six Ministries' governance, offering a real-time dashboard for 12 specialized AI agents with audit trails. ## Decision facts: autogen - **Requirements:** AutoGen requires Python 3.10 or later. - **Adopt for:** AutoGen is a framework for developing multi-agent AI applications that can act autonomously or alongside humans. It's currently in maintenance mode with no additional features planned and users are encouraged to migrate. ## Choose when ### Choose edict if… - License: edict is MIT, autogen is CC-BY-4.0. - Autogen and Edict both focus on multi-agent AI applications, but Edict emphasizes a structured governance framework with real-time monitoring features that Autogen does not explicitly mention. - Tags unique to edict: multi-agent, dashboard, ai-orchestration, autonomous-agents. - edict ships Docker support for self-hosted deployment. - - Use Edict when you need robust review mechanisms built into the architecture. Unlike CrewAI or AutoGen, Edict's 'Menxia Sheng (门下省)' ensures quality checks by potentially requiring output to be resk ### Choose autogen if… - License: autogen is CC-BY-4.0, edict is MIT. - Requirements: AutoGen requires Python 3.10 or later.. - Autogen and Edict both focus on multi-agent AI applications, but Edict emphasizes a structured governance framework with real-time monitoring features that Autogen does not explicitly mention. - Tags unique to autogen: autogen, agents, ai, agentic. - Also covers LLM Frameworks. - You should use AutoGen if you have an existing project built on it and desire to maintain its current functionality without introducing advanced enterprise features or extensive new capabilities. ## When NOT to use edict - - Avoid Edict if a simpler orchestration system that does not enforce strict review steps is preferred as it offers an extra layer of bureaucracy with its built-in Menxia Sheng audit, which may slow下来 - urls_related_docs_and_videos_demoed_in_repo_or_elsewhere_on_webpage_if_any_are_given_explicitly_in_source_text_like_links_or_embeds_or_via_title_tagged_blockquotes_that_mention_media_type_and_url_when ## When NOT to use autogen - Do not use AutoGen if you are planning to build a production-ready application that requires long-term support, enterprise-grade orchestration features, or multi-provider model support. - Avoid using this tool if your project needs future-proof development with new and continuous enhancements as the framework is in maintenance mode. ## Common questions ### What is the difference between edict and autogen? edict: 🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails. autogen: A framework for creating multi-agent AI applications. See the comparison table for live GitHub stats and shared categories. ### When should I choose edict over autogen? Choose edict over autogen when License: edict is MIT, autogen is CC-BY-4.0; Autogen and Edict both focus on multi-agent AI applications, but Edict emphasizes a structured governance framework with real-time monitoring features that Autogen does not explicitly mention; Tags unique to edict: multi-agent, dashboard, ai-orchestration, autonomous-agents; edict ships Docker support for self-hosted deployment; - Use Edict when you need robust review mechanisms built into the architecture. Unlike CrewAI or AutoGen, Edict's 'Menxia Sheng (门下省)' ensures quality checks by potentially requiring output to be resk. ### When should I choose autogen over edict? Choose autogen over edict when License: autogen is CC-BY-4.0, edict is MIT; Requirements: AutoGen requires Python 3.10 or later.; Autogen and Edict both focus on multi-agent AI applications, but Edict emphasizes a structured governance framework with real-time monitoring features that Autogen does not explicitly mention; Tags unique to autogen: autogen, agents, ai, agentic; Also covers LLM Frameworks; You should use AutoGen if you have an existing project built on it and desire to maintain its current functionality without introducing advanced enterprise features or extensive new capabilities. ### When should I avoid edict? - Avoid Edict if a simpler orchestration system that does not enforce strict review steps is preferred as it offers an extra layer of bureaucracy with its built-in Menxia Sheng audit, which may slow下来 urls_related_docs_and_videos_demoed_in_repo_or_elsewhere_on_webpage_if_any_are_given_explicitly_in_source_text_like_links_or_embeds_or_via_title_tagged_blockquotes_that_mention_media_type_and_url_when ### When should I avoid autogen? Do not use AutoGen if you are planning to build a production-ready application that requires long-term support, enterprise-grade orchestration features, or multi-provider model support. Avoid using this tool if your project needs future-proof development with new and continuous enhancements as the framework is in maintenance mode. ### Is edict or autogen more popular on GitHub? autogen has more GitHub stars (59,573 vs 16,172). Stars measure visibility, not whether either tool fits your constraints. ### Are edict and autogen open source? Yes - both are open-source projects on GitHub (edict: MIT, autogen: CC-BY-4.0). ### Where can I find alternatives to edict or autogen? GraphCanon lists graph-backed alternatives at /tools/cft0808-edict/alternatives and /tools/microsoft-autogen/alternatives (/tools/cft0808-edict/alternatives.md, /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 /compare/cft0808-edict-vs-microsoft-autogen.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, edict or autogen? edict: Very active. 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 edict and autogen? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: edict: /tools/cft0808-edict/trust; autogen: /tools/microsoft-autogen/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cft0808-edict`](/api/graphcanon/graph?tool=cft0808-edict) - 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/_