--- title: "blast vs agent-kernel" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/stanford-mast-blast-vs-yaalalabs-agent-kernel" tools: ["stanford-mast-blast", "yaalalabs-agent-kernel"] --- # blast vs agent-kernel *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 agent-kernel if agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A. [blast](http://blastproject.org/) reports 778 GitHub stars, 51 forks, and 6 open issues, last pushed May 29, 2026. [agent-kernel](https://kernel.yaala.ai/) has 113 stars, 60 forks, and 128 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [blast's repository](https://github.com/stanford-mast/blast) and [agent-kernel's repository](https://github.com/yaalalabs/agent-kernel). | | [blast](/tools/stanford-mast-blast.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Tagline | Open-source VMs-as-a-service | The Operating System for Scalable Enterprise AI Agents | | Stars | 778 | 113 | | Forks | 51 | 60 | | Open issues | 6 | 128 | | 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. | Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, Inference & Serving | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [blast](/tools/stanford-mast-blast.md) | [agent-kernel](/tools/yaalalabs-agent-kernel.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 87d | 2d | | Open issues (now) | 6 | 128 | | Stars delta | +1 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/stanford-mast-blast/trust.md) | [trust report](/tools/yaalalabs-agent-kernel/trust.md) | ## Shared compatibility - **Python**: [blast](/tools/stanford-mast-blast.md) - Python runtime; [agent-kernel](/tools/yaalalabs-agent-kernel.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: agent-kernel - **Requirements:** It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module. - **Adopt for:** Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A. ## Choose when ### Choose blast if… - License: blast is MIT, agent-kernel is Apache-2.0. - 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: ai-agents, 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 agent-kernel if… - License: agent-kernel is Apache-2.0, blast is MIT. - Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.. - Tags unique to agent-kernel: a2a, adk, aws, azure. - If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites. ## 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 agent-kernel - If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. - When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment. ## Common questions ### What is the difference between blast and agent-kernel? blast: Open-source VMs-as-a-service. agent-kernel: The Operating System for Scalable Enterprise AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose blast over agent-kernel? Choose blast over agent-kernel when License: blast is MIT, agent-kernel is Apache-2.0; 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: ai-agents, 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 agent-kernel over blast? Choose agent-kernel over blast when License: agent-kernel is Apache-2.0, blast is MIT; Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.; Tags unique to agent-kernel: a2a, adk, aws, azure; If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites. ### 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 agent-kernel? If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment. ### Is blast or agent-kernel more popular on GitHub? blast has more GitHub stars (778 vs 113). Stars measure visibility, not whether either tool fits your constraints. ### Are blast and agent-kernel open source? Yes - both are open-source projects on GitHub (blast: MIT, agent-kernel: Apache-2.0). ### Where can I find alternatives to blast or agent-kernel? GraphCanon lists graph-backed alternatives at [blast alternatives](/tools/stanford-mast-blast/alternatives) and [agent-kernel alternatives](/tools/yaalalabs-agent-kernel/alternatives) ([blast markdown twin](/tools/stanford-mast-blast/alternatives.md), [agent-kernel markdown twin](/tools/yaalalabs-agent-kernel/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-yaalalabs-agent-kernel.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, blast or agent-kernel? blast: Steady. agent-kernel: 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 agent-kernel? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [blast trust report](/tools/stanford-mast-blast/trust); [agent-kernel trust report](/tools/yaalalabs-agent-kernel/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/_