--- title: "qiushi-skill vs agency-orchestrator" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hughyau-qiushi-skill-vs-jnmetacode-agency-orchestrator" tools: ["hughyau-qiushi-skill", "jnmetacode-agency-orchestrator"] --- # qiushi-skill vs agency-orchestrator *GraphCanon updated Sep 20, 2026* ## Verdict Pick qiushi-skill if qiushi-Skill methodologically equips AI agents with rigorous analytical tools derived from materialist dialectics and practical philosophy, enabling more thorough problem-solving processes; pick agency-orchestrator if agency Orchestrator is an AI workflow orchestrator that automatically collaborates among multiple AI agents based on user inputs, supports various large language models, and allows for zero-code YAML configuration. [qiushi-skill](http://hughyau.com/qiushi-skill/) reports 3.8k GitHub stars, 285 forks, and 19 open issues, last pushed Sep 6, 2026. [agency-orchestrator](https://ao.aiolaola.com) has 2.3k stars, 303 forks, and 7 open issues, last pushed Sep 16, 2026. Figures are from public GitHub metadata via [qiushi-skill's repository](https://github.com/HughYau/qiushi-skill) and [agency-orchestrator's repository](https://github.com/jnMetaCode/agency-orchestrator). | | [qiushi-skill](/tools/hughyau-qiushi-skill.md) | [agency-orchestrator](/tools/jnmetacode-agency-orchestrator.md) | | --- | --- | --- | | Tagline | Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done. | 🚀 One sentence → multi-AI-role collaboration → complete plan in minutes | | Stars | 3,781 | 2,274 | | Forks | 285 | 303 | | Open issues | 19 | 7 | | Language | JavaScript | TypeScript | | Adopt for | Qiushi-Skill methodologically equips AI agents with rigorous analytical tools derived from materialist dialectics and practical philosophy, enabling more thorough problem-solving processes. | Agency Orchestrator is an AI workflow orchestrator that automatically collaborates among multiple AI agents based on user inputs, supports various large language models, and allows for zero-code YAML configuration. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [qiushi-skill](/tools/hughyau-qiushi-skill.md) | [agency-orchestrator](/tools/jnmetacode-agency-orchestrator.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 9d | 3d | | Open issues (now) | 19 | 7 | | Stars delta | +90 (30d) | +202 (30d) | | Open issues delta | -1 (30d) | -3 (30d) | | Full report | [trust report](/tools/hughyau-qiushi-skill/trust.md) | [trust report](/tools/jnmetacode-agency-orchestrator/trust.md) | ## Decision facts: qiushi-skill - **Adopt for:** Qiushi-Skill methodologically equips AI agents with rigorous analytical tools derived from materialist dialectics and practical philosophy, enabling more thorough problem-solving processes. ## Decision facts: agency-orchestrator - **Adopt for:** Agency Orchestrator is an AI workflow orchestrator that automatically collaborates among multiple AI agents based on user inputs, supports various large language models, and allows for zero-code YAML configuration. ## Choose when ### Choose qiushi-skill if… - qiushi-skill is primarily JavaScript; agency-orchestrator is TypeScript. - License: qiushi-skill is MIT, agency-orchestrator is Apache-2.0. - Tags unique to qiushi-skill: methodology, skills, workflow. - When you need AI agents to deeply analyze problems rather than just provide surface-level answers ### Choose agency-orchestrator if… - agency-orchestrator is primarily TypeScript; qiushi-skill is JavaScript. - License: agency-orchestrator is Apache-2.0, qiushi-skill is MIT. - Tags unique to agency-orchestrator: agency-agents, agent-orchestration, yaml-workflow. - Also covers Inference & Serving. - agency-orchestrator ships Docker support for self-hosted deployment. - agency-orchestrator ships an MCP server manifest. - You require automatic collaboration across a wide range of pre-defined expert roles (216+) to execute specific tasks efficiently. ## When NOT to use qiushi-skill - Avoid if quick, heuristic-based decisions are preferred over thorough analysis - Not suitable when AI personality simulation is a primary requirement - If using non-political or non-propaganda related methodological tools might be misconstrued in your context ## When NOT to use agency-orchestrator - If your workflow is simple or requires minimal collaboration; a single AI agent might suffice. - When you are working in an environment where there's high sensitivity around software licensing and the Apache-2.0 license poses compliance concerns. ## Common questions ### What is the difference between qiushi-skill and agency-orchestrator? qiushi-skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done.. agency-orchestrator: 🚀 One sentence → multi-AI-role collaboration → complete plan in minutes. See the comparison table for live GitHub stats and shared categories. ### When should I choose qiushi-skill over agency-orchestrator? Choose qiushi-skill over agency-orchestrator when qiushi-skill is primarily JavaScript; agency-orchestrator is TypeScript; License: qiushi-skill is MIT, agency-orchestrator is Apache-2.0; Tags unique to qiushi-skill: methodology, skills, workflow; When you need AI agents to deeply analyze problems rather than just provide surface-level answers. ### When should I choose agency-orchestrator over qiushi-skill? Choose agency-orchestrator over qiushi-skill when agency-orchestrator is primarily TypeScript; qiushi-skill is JavaScript; License: agency-orchestrator is Apache-2.0, qiushi-skill is MIT; Tags unique to agency-orchestrator: agency-agents, agent-orchestration, yaml-workflow; Also covers Inference & Serving; agency-orchestrator ships Docker support for self-hosted deployment; agency-orchestrator ships an MCP server manifest; You require automatic collaboration across a wide range of pre-defined expert roles (216+) to execute specific tasks efficiently. ### When should I avoid qiushi-skill? Avoid if quick, heuristic-based decisions are preferred over thorough analysis Not suitable when AI personality simulation is a primary requirement If using non-political or non-propaganda related methodological tools might be misconstrued in your context ### When should I avoid agency-orchestrator? If your workflow is simple or requires minimal collaboration; a single AI agent might suffice. When you are working in an environment where there's high sensitivity around software licensing and the Apache-2.0 license poses compliance concerns. ### Is qiushi-skill or agency-orchestrator more popular on GitHub? qiushi-skill has more GitHub stars (3,781 vs 2,274). Stars measure visibility, not whether either tool fits your constraints. ### Are qiushi-skill and agency-orchestrator open source? Yes - both are open-source projects on GitHub (qiushi-skill: MIT, agency-orchestrator: Apache-2.0). ### Where can I find alternatives to qiushi-skill or agency-orchestrator? GraphCanon lists graph-backed alternatives at [qiushi-skill alternatives](/tools/hughyau-qiushi-skill/alternatives) and [agency-orchestrator alternatives](/tools/jnmetacode-agency-orchestrator/alternatives) ([qiushi-skill markdown twin](/tools/hughyau-qiushi-skill/alternatives.md), [agency-orchestrator markdown twin](/tools/jnmetacode-agency-orchestrator/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/hughyau-qiushi-skill-vs-jnmetacode-agency-orchestrator.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, qiushi-skill or agency-orchestrator? qiushi-skill: Active. agency-orchestrator: Very 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 qiushi-skill and agency-orchestrator? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [qiushi-skill trust report](/tools/hughyau-qiushi-skill/trust); [agency-orchestrator trust report](/tools/jnmetacode-agency-orchestrator/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hughyau-qiushi-skill`](/api/graphcanon/graph?tool=hughyau-qiushi-skill) - 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/_