--- title: "agents-from-scratch vs skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pguso-agents-from-scratch-vs-veniceai-skills" tools: ["pguso-agents-from-scratch", "veniceai-skills"] --- # agents-from-scratch vs skills *GraphCanon updated Aug 12, 2026* ## Verdict 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; pick skills if skills offers support for multiple AI agent runtimes via the Venice.ai API, making it suitable for developers who need versatility and integration with. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) reports 954 GitHub stars, 240 forks, and 3 open issues, last pushed Jul 25, 2026. [skills](https://github.com/veniceai/skills) has 126 stars, 14 forks, and 4 open issues, last pushed Jul 29, 2026. Figures are from public GitHub metadata via [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch) and [skills's repository](https://github.com/veniceai/skills). | | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | [skills](/tools/veniceai-skills.md) | | --- | --- | --- | | Tagline | Build AI agents locally without relying on frameworks or cloud APIs. | Agent Skills for the Venice.ai API | | Stars | 954 | 126 | | Forks | 240 | 14 | | Open issues | 3 | 4 | | Language | Python | Python | | 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. | Skills offers support for multiple AI agent runtimes via the Venice.ai API, making it suitable for developers who need versatility and integration with Cursor, Claude, Codex, and other runtimes. | | Persona | - | - | | Runtime | - | - | | License | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | Skills uses an MIT license allowing free use and modification of its components with a recommended credit link back to https://docs.venice.ai but no legal obligation. | | Categories | AI Agents, Developer Tools | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | [skills](/tools/veniceai-skills.md) | | --- | --- | --- | | Days since push | 18d | 7d | | Open issues (now) | 3 | 4 | | Owner type | User | Organization | | Full report | [trust report](/tools/pguso-agents-from-scratch/trust.md) | [trust report](/tools/veniceai-skills/trust.md) | ## 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. ## Decision facts: skills - **Pricing:** unknown - pricing details are not provided in the current data. - **Adopt for:** Skills offers support for multiple AI agent runtimes via the Venice.ai API, making it suitable for developers who need versatility and integration with Cursor, Claude, Codex, and other runtimes. - **License detail:** Skills uses an MIT license allowing free use and modification of its components with a recommended credit link back to https://docs.venice.ai but no legal obligation. ## Choose when ### Choose agents-from-scratch if… - 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, ai-agents, llm, local-llm. - 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. ### Choose skills if… - Pricing: pricing details are not provided in the current data.. - Tags unique to skills: agent-skills, claude, codex, cursor. - Use Skills if you are working exclusively within the Venice.ai ecosystem or plan to integrate multiple AI agent runtimes like Cursor, Claude, Codex. ## 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. ## When NOT to use skills - Avoid Skills if your project only needs support for a single or non-Venice.ai associated AI agent runtime without needing the broad integration offered here. - Do not use it when detailed per-skill documentation in SKILL.md format is unnecessary for your workflow, as this may introduce additional overhead. ## Common questions ### What is the difference between agents-from-scratch and skills? agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. skills: Agent Skills for the Venice.ai API. See the comparison table for live GitHub stats and shared categories. ### When should I choose agents-from-scratch over skills? Choose agents-from-scratch over skills when 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, ai-agents, llm, local-llm; 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 choose skills over agents-from-scratch? Choose skills over agents-from-scratch when Pricing: pricing details are not provided in the current data.; Tags unique to skills: agent-skills, claude, codex, cursor; Use Skills if you are working exclusively within the Venice.ai ecosystem or plan to integrate multiple AI agent runtimes like Cursor, Claude, Codex. ### 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. ### When should I avoid skills? Avoid Skills if your project only needs support for a single or non-Venice.ai associated AI agent runtime without needing the broad integration offered here. Do not use it when detailed per-skill documentation in SKILL.md format is unnecessary for your workflow, as this may introduce additional overhead. ### Is agents-from-scratch or skills more popular on GitHub? agents-from-scratch has more GitHub stars (954 vs 126). Stars measure visibility, not whether either tool fits your constraints. ### Are agents-from-scratch and skills open source? Yes - both are open-source projects on GitHub (agents-from-scratch: MIT, skills: MIT). ### Where can I find alternatives to agents-from-scratch or skills? GraphCanon lists graph-backed alternatives at [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) and [skills alternatives](/tools/veniceai-skills/alternatives) ([agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/alternatives.md), [skills markdown twin](/tools/veniceai-skills/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/pguso-agents-from-scratch-vs-veniceai-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agents-from-scratch or skills? agents-from-scratch: Active. skills: 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 agents-from-scratch and skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust); [skills trust report](/tools/veniceai-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=pguso-agents-from-scratch`](/api/graphcanon/graph?tool=pguso-agents-from-scratch) - 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/_