--- title: "blast vs Athena-Public" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/stanford-mast-blast-vs-winstonkoh87-athena-public" tools: ["stanford-mast-blast", "winstonkoh87-athena-public"] --- # blast vs Athena-Public *GraphCanon updated Aug 25, 2026* ## Verdict Pick blast if blast provides open-source VMs-as-a-service for deploying AI agents and facilitating large-language-model inference, with support for Python; pick Athena-Public if persistent memory & governed autonomy for AI Agents, built in Python. [blast](http://blastproject.org/) reports 778 GitHub stars, 51 forks, and 6 open issues, last pushed May 29, 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 [blast's repository](https://github.com/stanford-mast/blast) and [Athena-Public's repository](https://github.com/winstonkoh87/Athena-Public). | | [blast](/tools/stanford-mast-blast.md) | [Athena-Public](/tools/winstonkoh87-athena-public.md) | | --- | --- | --- | | Tagline | Open-source VMs-as-a-service | The Linux OS for AI Agents | | Stars | 778 | 584 | | Forks | 51 | 77 | | Open issues | 6 | 0 | | Language | Python | Python | | Adopt for | Blast provides open-source VMs-as-a-service for deploying AI agents and facilitating large-language-model inference, with support for Python. | Persistent memory & governed autonomy for AI Agents, built in Python. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Inference & Serving | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [blast](/tools/stanford-mast-blast.md) | [Athena-Public](/tools/winstonkoh87-athena-public.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 87d | 0d | | Open issues (now) | 6 | 0 | | Stars delta | +1 (30d) | +41 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/stanford-mast-blast/trust.md) | [trust report](/tools/winstonkoh87-athena-public/trust.md) | ## Shared compatibility - **Python**: [blast](/tools/stanford-mast-blast.md) - Python runtime; [Athena-Public](/tools/winstonkoh87-athena-public.md) - Python runtime ## Decision facts: blast - **Requirements:** Requires Docker; Ensure you have Docker installed to create and manage virtual machine instances effectively with Blast.; Python environment setup is necessary for leveraging all the features offered by this project. - **Adopt for:** Blast provides open-source VMs-as-a-service for deploying AI agents and facilitating large-language-model inference, with support for Python. ## Decision facts: Athena-Public - **Adopt for:** Persistent memory & governed autonomy for AI Agents, built in Python. ## Choose when ### Choose blast if… - Requirements: Requires Docker; Ensure you have Docker installed to create and manage virtual machine instances effectively with Blast.; Python environment setup is necessary for leveraging all the features offered by this project.. - Tags unique to blast: browser-automation, llm-inference, python. - Also covers Inference & Serving. - Use Blast if you need an open-source solution for virtual machines as a service specifically tailored to artificial intelligence agent deployment and large-language-model inference processes. ### Choose Athena-Public if… - Tags unique to Athena-Public: chatgpt, framework, google-antigravity, knowledge-management. - Also covers Developer Tools. - When you need persistent memory and structured reasoning capabilities that enhance any LLM used as an AI agent or assistant. ## When NOT to use blast - Avoid Blast if your project requires proprietary or commercial-only solutions because it is an open-source tool governed by the MIT License. - Do not use Blast for applications where browser-automation support alone is needed as its primary focus is on deploying AI agents and not solely on automating browsers. ## 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 blast and Athena-Public? blast: Open-source VMs-as-a-service. Athena-Public: The Linux OS for AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose blast over Athena-Public? Choose blast over Athena-Public when Requirements: Requires Docker; Ensure you have Docker installed to create and manage virtual machine instances effectively with Blast.; Python environment setup is necessary for leveraging all the features offered by this project.; Tags unique to blast: browser-automation, llm-inference, python; Also covers Inference & Serving; Use Blast if you need an open-source solution for virtual machines as a service specifically tailored to artificial intelligence agent deployment and large-language-model inference processes. ### When should I choose Athena-Public over blast? Choose Athena-Public over blast when Tags unique to Athena-Public: chatgpt, framework, google-antigravity, knowledge-management; Also covers Developer Tools; When you need persistent memory and structured reasoning capabilities that enhance any LLM used as an AI agent or assistant. ### When should I avoid blast? Avoid Blast if your project requires proprietary or commercial-only solutions because it is an open-source tool governed by the MIT License. Do not use Blast for applications where browser-automation support alone is needed as its primary focus is on deploying AI agents and not solely on automating browsers. ### 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 blast or Athena-Public more popular on GitHub? blast has more GitHub stars (778 vs 584). Stars measure visibility, not whether either tool fits your constraints. ### Are blast and Athena-Public open source? Yes - both are open-source projects on GitHub (blast: MIT, Athena-Public: MIT). ### Where can I find alternatives to blast or Athena-Public? GraphCanon lists graph-backed alternatives at [blast alternatives](/tools/stanford-mast-blast/alternatives) and [Athena-Public alternatives](/tools/winstonkoh87-athena-public/alternatives) ([blast markdown twin](/tools/stanford-mast-blast/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/stanford-mast-blast-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, blast or Athena-Public? blast: Steady. 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 blast and Athena-Public? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [blast trust report](/tools/stanford-mast-blast/trust); [Athena-Public trust report](/tools/winstonkoh87-athena-public/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=stanford-mast-blast`](/api/graphcanon/graph?tool=stanford-mast-blast) - 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/_