Comparison
qiushi-skill vs agents-from-scratch
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.
Markdown twin · qiushi-skill alternatives · agents-from-scratch alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | qiushi-skill | agents-from-scratch |
|---|---|---|
| Maintenance | Active (9d since push) As of Sep 16, 2026 · github_public_v1 | Steady (56d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 16, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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.
Stars
- qiushi-skill
- 3.8k
- agents-from-scratch
- 1.0k
Forks
- qiushi-skill
- 285
- agents-from-scratch
- 251
Open issues
- qiushi-skill
- 19
- agents-from-scratch
- 4
Language
- qiushi-skill
- JavaScript
- agents-from-scratch
- Python
Adopt for
- qiushi-skill
- 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
- 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
- qiushi-skill
- -
- agents-from-scratch
- -
Runtime
- qiushi-skill
- -
- agents-from-scratch
- -
License
- qiushi-skill
- MIT
- agents-from-scratch
- MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.
Last pushed
- qiushi-skill
- Sep 6, 2026
- agents-from-scratch
- Jul 25, 2026
Categories
- qiushi-skill
- AI Agents
- agents-from-scratch
- AI Agents, Developer Tools
Trust and health
Maintenance
- qiushi-skill
- Active (82%)
- agents-from-scratch
- Steady (60%)
Days since push
- qiushi-skill
- 9d
- agents-from-scratch
- 56d
Open issues (now)
- qiushi-skill
- 19
- agents-from-scratch
- 4
Stars delta
- qiushi-skill
- +90 (30d)
- agents-from-scratch
- +63 (30d)
Open issues delta
- qiushi-skill
- -1 (30d)
- agents-from-scratch
- +1 (30d)
Full report
- qiushi-skill
- Trust report
- agents-from-scratch
- Trust report
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
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
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (HughYau/qiushi-skill) · observed Sep 20, 2026
- GitHub forks (HughYau/qiushi-skill) · observed Sep 20, 2026
- Last push (HughYau/qiushi-skill) · observed Sep 6, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (pguso/agents-from-scratch) · observed Sep 20, 2026
- GitHub forks (pguso/agents-from-scratch) · observed Sep 20, 2026
- Last push (pguso/agents-from-scratch) · observed Jul 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: qiushi-skill 3.8k · agents-from-scratch 1.0k (synced Sep 20, 2026).
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 and agents-from-scratch alternatives (qiushi-skill markdown twin, agents-from-scratch markdown twin), 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 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; agents-from-scratch trust report.