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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 Sep 27, 2026

8views this month

blast logo

blast

stanford-mast/blast

★ 799pushed Aug 30, 2026
vs
agent-kernel logo

agent-kernel

yaalalabs/agent-kernel

★ 188pushed Sep 11, 2026

Trust & integrity

Signalblastagent-kernel
Maintenance
Active (20d since push)
As of Sep 20, 2026 · github_public_v1
Very active (1d since push)
As of Sep 13, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 20, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 13, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 27, 2026 · 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
blast trust reportagent-kernel trust reportTrust methodology

Tagline

blast
Open-source VMs-as-a-service
agent-kernel
The Operating System for Scalable Enterprise AI Agents

Stars

blast
799
agent-kernel
188

Forks

blast
53
agent-kernel
86

Open issues

blast
7
agent-kernel
137

Language

blast
Rust
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
Aug 30, 2026
agent-kernel
Sep 11, 2026

Categories

blast
AI Agents, Inference & Serving
agent-kernel
AI Agents

Trust and health

Maintenance

blast
Active (82%)
agent-kernel
Very active (96%)

Days since push

blast
20d
agent-kernel
1d

Open issues (now)

blast
7
agent-kernel
137

Stars delta

blast
+22 (30d)
agent-kernel
+75 (30d)

Open issues delta

blast
+1 (30d)
agent-kernel
+9 (30d)

Full report

blast
Trust report
agent-kernel
Trust report

Choose blast if…

  • blast is primarily Rust; agent-kernel is Python.
  • 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.
GitHubDetails

Choose agent-kernel if…

  • agent-kernel is primarily Python; blast is Rust.
  • 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.
GitHubDetails

Explore

blast trust report →agent-kernel trust report →AI Agents category →Inference & Serving category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: blast 799 · agent-kernel 188 (synced Sep 20, 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 blast is primarily Rust; agent-kernel is Python; 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 agent-kernel is primarily Python; blast is Rust; 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 (799 vs 188). 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: Active. 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.

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