Comparison
blast vs agent-kernel
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.
Markdown twin · blast alternatives · agent-kernel alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | blast | agent-kernel |
|---|---|---|
| Maintenance | Steady (56d since push) As of 4w · github_public_v1 | Very active (2d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- blast
- Open-source VMs-as-a-service
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- blast
- 777
- agent-kernel
- 113
Forks
- blast
- 51
- agent-kernel
- 60
Open issues
- blast
- 6
- agent-kernel
- 128
Language
- blast
- Python
- agent-kernel
- Python
Adopt for
- blast
- Blast provides open-source VMs-as-a-service for deploying AI agents and facilitating large-language-model inference, with support for Python.
- agent-kernel
- 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
- blast
- -
- agent-kernel
- -
Runtime
- blast
- -
- agent-kernel
- -
License
- blast
- MIT
- agent-kernel
- Apache-2.0
Last pushed
- blast
- May 29, 2026
- agent-kernel
- Aug 7, 2026
Categories
- blast
- AI Agents, Inference & Serving
- agent-kernel
- AI Agents
Trust and health
Maintenance
- blast
- Steady (60%)
- agent-kernel
- Very active (96%)
Days since push
- blast
- 56d
- agent-kernel
- 2d
Open issues (now)
- blast
- 6
- agent-kernel
- 128
Full report
- blast
- Trust report
- agent-kernel
- Trust report
Shared compatibility
- Python · blast: Python runtime · agent-kernel: Python runtime
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (stanford-mast/blast) · observed Jul 25, 2026
- GitHub forks (stanford-mast/blast) · observed Jul 25, 2026
- Last push (stanford-mast/blast) · observed May 29, 2026
- License file (MIT) · observed Jul 25, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yaalalabs/agent-kernel) · observed Aug 9, 2026
- GitHub forks (yaalalabs/agent-kernel) · observed Aug 9, 2026
- Last push (yaalalabs/agent-kernel) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: blast 777 · agent-kernel 113 (synced Jul 25, 2026).
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 (777 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 and agent-kernel alternatives (blast markdown twin, agent-kernel markdown twin), 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 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; agent-kernel trust report.