--- title: "one vs Athena-Public" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/opennebula-one-vs-winstonkoh87-athena-public" tools: ["opennebula-one", "winstonkoh87-athena-public"] --- # one vs Athena-Public *GraphCanon updated Sep 20, 2026* ## Verdict Pick one if openNebula is an open-source platform specifically architected for managing cloud and edge computing resources suitable for enterprise deployments, leveraging technologies like KVM and LXC; pick Athena-Public if persistent memory & governed autonomy for AI Agents, built in Python. [one](http://opennebula.io) reports 1.7k GitHub stars, 534 forks, and 766 open issues, last pushed Sep 18, 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 [one's repository](https://github.com/OpenNebula/one) and [Athena-Public's repository](https://github.com/winstonkoh87/Athena-Public). | | [one](/tools/opennebula-one.md) | [Athena-Public](/tools/winstonkoh87-athena-public.md) | | --- | --- | --- | | Tagline | The open source Cloud and Edge Computing Platform bringing real freedom to your Enterprise Cloud | The Linux OS for AI Agents | | Stars | 1,745 | 589 | | Forks | 534 | 77 | | Open issues | 766 | 0 | | Language | JavaScript | Python | | Adopt for | OpenNebula is an open-source platform specifically architected for managing cloud and edge computing resources suitable for enterprise deployments, leveraging technologies like KVM and LXC. | Persistent memory & governed autonomy for AI Agents, built in Python. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [one](/tools/opennebula-one.md) | [Athena-Public](/tools/winstonkoh87-athena-public.md) | | --- | --- | --- | | Open issues (now) | 766 | 0 | | Stars delta | +17 (30d) | +46 (30d) | | Open issues delta | -8 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/opennebula-one/trust.md) | [trust report](/tools/winstonkoh87-athena-public/trust.md) | ## Decision facts: one - **Pricing:** freemium - OpenNebula operates under Apache-2.0 license and is free to use, but professional support services may require additional paid contracts. - **Requirements:** Min 8 GB RAM; Requires a supported operating system capable of running KVM or LXC.; Recommended deployment scenarios include environments with multiple physical servers for distributing workloads. - **Adopt for:** OpenNebula is an open-source platform specifically architected for managing cloud and edge computing resources suitable for enterprise deployments, leveraging technologies like KVM and LXC. ## Decision facts: Athena-Public - **Adopt for:** Persistent memory & governed autonomy for AI Agents, built in Python. ## Choose when ### Choose one if… - one is primarily JavaScript; Athena-Public is Python. - License: one is Apache-2.0, Athena-Public is MIT. - Pricing: OpenNebula operates under Apache-2.0 license and is free to use, but professional support services may require additional paid contracts.. - Requirements: Min 8 GB RAM; Requires a supported operating system capable of running KVM or LXC.; Recommended deployment scenarios include environments with multiple physical servers for distributing workloads.. - Tags unique to one: cloud, kvm, lxc, open-source. - When you require a robust solution for orchestrating both virtual machines and containers in your enterprise infrastructure. ### Choose Athena-Public if… - Athena-Public is primarily Python; one is JavaScript. - License: Athena-Public is MIT, one is Apache-2.0. - Tags unique to Athena-Public: ai-agents, chatgpt, framework, google-antigravity. - Also covers AI Agents. - When you need persistent memory and structured reasoning capabilities that enhance any LLM used as an AI agent or assistant. ## When NOT to use one - If your organization prefers proprietary solutions that offer direct support or have more specialized features not available in open-source solutions like OpenNebula. - In scenarios where extensive customization of the cloud management platform is needed beyond what a general-purpose, enterprise-oriented tool can provide. ## 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 one and Athena-Public? one: The open source Cloud and Edge Computing Platform bringing real freedom to your Enterprise Cloud. Athena-Public: The Linux OS for AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose one over Athena-Public? Choose one over Athena-Public when one is primarily JavaScript; Athena-Public is Python; License: one is Apache-2.0, Athena-Public is MIT; Pricing: OpenNebula operates under Apache-2.0 license and is free to use, but professional support services may require additional paid contracts.; Requirements: Min 8 GB RAM; Requires a supported operating system capable of running KVM or LXC.; Recommended deployment scenarios include environments with multiple physical servers for distributing workloads.; Tags unique to one: cloud, kvm, lxc, open-source; When you require a robust solution for orchestrating both virtual machines and containers in your enterprise infrastructure. ### When should I choose Athena-Public over one? Choose Athena-Public over one when Athena-Public is primarily Python; one is JavaScript; License: Athena-Public is MIT, one is Apache-2.0; Tags unique to Athena-Public: ai-agents, chatgpt, framework, google-antigravity; Also covers AI Agents; When you need persistent memory and structured reasoning capabilities that enhance any LLM used as an AI agent or assistant. ### When should I avoid one? If your organization prefers proprietary solutions that offer direct support or have more specialized features not available in open-source solutions like OpenNebula. In scenarios where extensive customization of the cloud management platform is needed beyond what a general-purpose, enterprise-oriented tool can provide. ### 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 one or Athena-Public more popular on GitHub? one has more GitHub stars (1,745 vs 589). Stars measure visibility, not whether either tool fits your constraints. ### Are one and Athena-Public open source? Yes - both are open-source projects on GitHub (one: Apache-2.0, Athena-Public: MIT). ### Where can I find alternatives to one or Athena-Public? GraphCanon lists graph-backed alternatives at [one alternatives](/tools/opennebula-one/alternatives) and [Athena-Public alternatives](/tools/winstonkoh87-athena-public/alternatives) ([one markdown twin](/tools/opennebula-one/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/opennebula-one-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, one or Athena-Public? one: 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 one and Athena-Public? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [one trust report](/tools/opennebula-one/trust); [Athena-Public trust report](/tools/winstonkoh87-athena-public/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=opennebula-one`](/api/graphcanon/graph?tool=opennebula-one) - 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/_