--- title: "openhuman vs Athena-Public" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tinyhumansai-openhuman-vs-winstonkoh87-athena-public" tools: ["tinyhumansai-openhuman", "winstonkoh87-athena-public"] --- # openhuman vs Athena-Public *GraphCanon updated Sep 20, 2026* ## Verdict Pick openhuman if openHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration; pick Athena-Public if persistent memory & governed autonomy for AI Agents, built in Python. [openhuman](https://tinyhumans.ai/openhuman) reports 40k GitHub stars, 3.9k forks, and 199 open issues, last pushed Sep 17, 2026. [Athena-Public](https://winstonkoh87.com/athena/) has 589 stars, 77 forks, and 0 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [openhuman's repository](https://github.com/tinyhumansai/openhuman) and [Athena-Public's repository](https://github.com/winstonkoh87/Athena-Public). | | [openhuman](/tools/tinyhumansai-openhuman.md) | [Athena-Public](/tools/winstonkoh87-athena-public.md) | | --- | --- | --- | | Tagline | Open source agent harness with local-first memory and agent orchestration | The Linux OS for AI Agents | | Stars | 39,866 | 589 | | Forks | 3,931 | 77 | | Open issues | 199 | 0 | | Language | Rust | Python | | Adopt for | OpenHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration. | Persistent memory & governed autonomy for AI Agents, built in Python. | | Persona | - | - | | Runtime | - | - | | License | GPL-3.0 | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openhuman](/tools/tinyhumansai-openhuman.md) | [Athena-Public](/tools/winstonkoh87-athena-public.md) | | --- | --- | --- | | Open issues (now) | 199 | 0 | | Stars delta | Unknown | +46 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/tinyhumansai-openhuman/trust.md) | [trust report](/tools/winstonkoh87-athena-public/trust.md) | ## Decision facts: openhuman - **Pricing:** freemium - Open source under GPL-3.0, free to use, modify, and distribute. - **Requirements:** Min 2 GB RAM; Installation can be done via Homebrew, Debian/Ubuntu .deb, AUR, or install scripts. - **Adopt for:** OpenHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration. - **License detail:** GPL-3.0 ## Decision facts: Athena-Public - **Adopt for:** Persistent memory & governed autonomy for AI Agents, built in Python. ## Choose when ### Choose openhuman if… - openhuman is primarily Rust; Athena-Public is Python. - License: openhuman is GPL-3.0, Athena-Public is MIT. - Pricing: Open source under GPL-3.0, free to use, modify, and distribute.. - Requirements: Min 2 GB RAM; Installation can be done via Homebrew, Debian/Ubuntu .deb, AUR, or install scripts.. - Tags unique to openhuman: agent-orchestration, ai-assistant, desktop, local-first. - openhuman ships Docker support for self-hosted deployment. - When you need a Rust-based solution for AI agent orchestration with a focus on local-first memory. ### Choose Athena-Public if… - Athena-Public is primarily Python; openhuman is Rust. - License: Athena-Public is MIT, openhuman is GPL-3.0. - 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. ## When NOT to use openhuman - If you prefer a language other than Rust for your AI development. - When your project does not require local-first memory or privacy-focused features. - If you are looking for a cloud-centric AI agent solution rather than a local-first approach. ## 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 openhuman and Athena-Public? openhuman: Open source agent harness with local-first memory and agent orchestration. Athena-Public: The Linux OS for AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose openhuman over Athena-Public? Choose openhuman over Athena-Public when openhuman is primarily Rust; Athena-Public is Python; License: openhuman is GPL-3.0, Athena-Public is MIT; Pricing: Open source under GPL-3.0, free to use, modify, and distribute.; Requirements: Min 2 GB RAM; Installation can be done via Homebrew, Debian/Ubuntu .deb, AUR, or install scripts.; Tags unique to openhuman: agent-orchestration, ai-assistant, desktop, local-first; openhuman ships Docker support for self-hosted deployment; When you need a Rust-based solution for AI agent orchestration with a focus on local-first memory. ### When should I choose Athena-Public over openhuman? Choose Athena-Public over openhuman when Athena-Public is primarily Python; openhuman is Rust; License: Athena-Public is MIT, openhuman is GPL-3.0; 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. ### When should I avoid openhuman? If you prefer a language other than Rust for your AI development. When your project does not require local-first memory or privacy-focused features. If you are looking for a cloud-centric AI agent solution rather than a local-first approach. ### 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 openhuman or Athena-Public more popular on GitHub? openhuman has more GitHub stars (39,866 vs 589). Stars measure visibility, not whether either tool fits your constraints. ### Are openhuman and Athena-Public open source? Yes - both are open-source projects on GitHub (openhuman: GPL-3.0, Athena-Public: MIT). ### Where can I find alternatives to openhuman or Athena-Public? GraphCanon lists graph-backed alternatives at [openhuman alternatives](/tools/tinyhumansai-openhuman/alternatives) and [Athena-Public alternatives](/tools/winstonkoh87-athena-public/alternatives) ([openhuman markdown twin](/tools/tinyhumansai-openhuman/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/tinyhumansai-openhuman-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, openhuman or Athena-Public? openhuman: Very 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 openhuman and Athena-Public? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openhuman trust report](/tools/tinyhumansai-openhuman/trust); [Athena-Public trust report](/tools/winstonkoh87-athena-public/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=tinyhumansai-openhuman`](/api/graphcanon/graph?tool=tinyhumansai-openhuman) - 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/_