--- title: "qiushi-skill vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hughyau-qiushi-skill-vs-pguso-agents-from-scratch" tools: ["hughyau-qiushi-skill", "pguso-agents-from-scratch"] --- # qiushi-skill vs agents-from-scratch *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 agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. [qiushi-skill](http://hughyau.com/qiushi-skill/) reports 3.8k GitHub stars, 285 forks, and 19 open issues, last pushed Sep 6, 2026. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) has 1.0k stars, 251 forks, and 4 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [qiushi-skill's repository](https://github.com/HughYau/qiushi-skill) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [qiushi-skill](/tools/hughyau-qiushi-skill.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done. | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 3,781 | 1,017 | | Forks | 285 | 251 | | Open issues | 19 | 4 | | Language | JavaScript | Python | | 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. | agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [qiushi-skill](/tools/hughyau-qiushi-skill.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 9d | 56d | | Open issues (now) | 19 | 4 | | Stars delta | +90 (30d) | +63 (30d) | | Open issues delta | -1 (30d) | +1 (30d) | | Full report | [trust report](/tools/hughyau-qiushi-skill/trust.md) | [trust report](/tools/pguso-agents-from-scratch/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: agents-from-scratch - **Requirements:** Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs. - **Adopt for:** agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. - **License detail:** MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. ## Choose when ### Choose qiushi-skill if… - qiushi-skill is primarily JavaScript; agents-from-scratch is Python. - 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 agents-from-scratch if… - agents-from-scratch is primarily Python; qiushi-skill is JavaScript. - Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.. - Tags unique to agents-from-scratch: agent-architecture, llm, local-llm, no-framework. - Also covers Developer Tools. - You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ## 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 agents-from-scratch - You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. - If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ## Common questions ### What is the difference between qiushi-skill and agents-from-scratch? qiushi-skill: Build agents that investigate first, focus on the main contradiction, validate in practice, and keep pushing until the work is actually done.. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose qiushi-skill over agents-from-scratch? Choose qiushi-skill over agents-from-scratch when qiushi-skill is primarily JavaScript; agents-from-scratch is Python; 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 agents-from-scratch over qiushi-skill? Choose agents-from-scratch over qiushi-skill when agents-from-scratch is primarily Python; qiushi-skill is JavaScript; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, llm, local-llm, no-framework; Also covers Developer Tools; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ### 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 agents-from-scratch? You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ### Is qiushi-skill or agents-from-scratch more popular on GitHub? qiushi-skill has more GitHub stars (3,781 vs 1,017). Stars measure visibility, not whether either tool fits your constraints. ### Are qiushi-skill and agents-from-scratch open source? Yes - both are open-source projects on GitHub (qiushi-skill: MIT, agents-from-scratch: MIT). ### Where can I find alternatives to qiushi-skill or agents-from-scratch? GraphCanon lists graph-backed alternatives at [qiushi-skill alternatives](/tools/hughyau-qiushi-skill/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([qiushi-skill markdown twin](/tools/hughyau-qiushi-skill/alternatives.md), [agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/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-pguso-agents-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, qiushi-skill or agents-from-scratch? qiushi-skill: Active. agents-from-scratch: 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 qiushi-skill and agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [qiushi-skill trust report](/tools/hughyau-qiushi-skill/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/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/_