--- title: "agents-from-scratch vs Athena-Public" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/pguso-agents-from-scratch-vs-winstonkoh87-athena-public" tools: ["pguso-agents-from-scratch", "winstonkoh87-athena-public"] --- # agents-from-scratch vs Athena-Public *GraphCanon updated Aug 23, 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 Athena-Public if persistent memory & governed autonomy for AI Agents, built in Python. [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. [Athena-Public](https://winstonkoh87.com/athena/) has 584 stars, 77 forks, and 0 open issues, last pushed Aug 23, 2026. Figures are from public GitHub metadata via [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch) and [Athena-Public's repository](https://github.com/winstonkoh87/Athena-Public). | | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | [Athena-Public](/tools/winstonkoh87-athena-public.md) | | --- | --- | --- | | Tagline | Build AI agents locally without relying on frameworks or cloud APIs. | The Linux OS for AI Agents | | Stars | 954 | 584 | | Forks | 240 | 77 | | Open issues | 3 | 0 | | 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. | Persistent memory & governed autonomy for AI Agents, built in Python. | | Persona | - | - | | Runtime | - | - | | License | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | [Athena-Public](/tools/winstonkoh87-athena-public.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 18d | 0d | | Open issues (now) | 3 | 0 | | Stars delta | Unknown | +41 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/pguso-agents-from-scratch/trust.md) | [trust report](/tools/winstonkoh87-athena-public/trust.md) | ## Shared compatibility - **Python**: [agents-from-scratch](/tools/pguso-agents-from-scratch.md) - Python runtime; [Athena-Public](/tools/winstonkoh87-athena-public.md) - Python runtime ## 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: Athena-Public - **Adopt for:** Persistent memory & governed autonomy for AI Agents, built in Python. ## 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, local-llm, no-framework, python. - 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 Athena-Public if… - Tags unique to Athena-Public: chatgpt, framework, google-antigravity, knowledge-management. - When you need persistent memory and structured reasoning capabilities that enhance any LLM used as an AI agent or assistant. - More recently updated (last pushed Aug 23, 2026). ## 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 Athena-Public - If your project requires a platform with extensive pre-built integrations beyond mere memory management for LLMs, Athena-Public may not offer sufficient out-of-the-box integration support. ## Common questions ### What is the difference between agents-from-scratch and Athena-Public? agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. Athena-Public: The Linux OS for AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agents-from-scratch over Athena-Public? Choose agents-from-scratch over Athena-Public 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, local-llm, no-framework, python; 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 Athena-Public over agents-from-scratch? Choose Athena-Public over agents-from-scratch when Tags unique to Athena-Public: chatgpt, framework, google-antigravity, knowledge-management; When you need persistent memory and structured reasoning capabilities that enhance any LLM used as an AI agent or assistant; More recently updated (last pushed Aug 23, 2026). ### 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 Athena-Public? If your project requires a platform with extensive pre-built integrations beyond mere memory management for LLMs, Athena-Public may not offer sufficient out-of-the-box integration support. ### Is agents-from-scratch or Athena-Public more popular on GitHub? agents-from-scratch has more GitHub stars (954 vs 584). Stars measure visibility, not whether either tool fits your constraints. ### Are agents-from-scratch and Athena-Public open source? Yes - both are open-source projects on GitHub (agents-from-scratch: MIT, Athena-Public: MIT). ### Where can I find alternatives to agents-from-scratch or Athena-Public? GraphCanon lists graph-backed alternatives at [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) and [Athena-Public alternatives](/tools/winstonkoh87-athena-public/alternatives) ([agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/alternatives.md), [Athena-Public markdown twin](/tools/winstonkoh87-athena-public/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-winstonkoh87-athena-public.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 Athena-Public? agents-from-scratch: Active. Athena-Public: 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 agents-from-scratch and Athena-Public? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust); [Athena-Public trust report](/tools/winstonkoh87-athena-public/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/_