Comparison
captain-claw vs agent-kernel
Verdict
Pick captain-claw if self-hosted ensemble reasoning and agentic coding framework for orchestrating specialist AI agents; 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 · captain-claw alternatives · agent-kernel alternatives
GraphCanon updated Sep 20, 2026
12views this month
vs
Trust & integrity
| Signal | captain-claw | agent-kernel |
|---|---|---|
| Maintenance | Very active (3d 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 · Personal 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 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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 |
Tagline
- captain-claw
- Self-hosted framework for orchestrating fleets of specialist AI agents
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- captain-claw
- 163
- agent-kernel
- 188
Forks
- captain-claw
- 15
- agent-kernel
- 86
Open issues
- captain-claw
- 0
- agent-kernel
- 137
Language
- captain-claw
- Python
- agent-kernel
- Python
Adopt for
- captain-claw
- Self-hosted ensemble reasoning and agentic coding framework for orchestrating specialist AI agents
- 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
- captain-claw
- -
- agent-kernel
- -
Runtime
- captain-claw
- -
- agent-kernel
- -
License
- captain-claw
- MIT
- agent-kernel
- Apache-2.0
Last pushed
- captain-claw
- Sep 16, 2026
- agent-kernel
- Sep 11, 2026
Categories
- captain-claw
- AI Agents
- agent-kernel
- AI Agents
Trust and health
Days since push
- captain-claw
- 3d
- agent-kernel
- 1d
Open issues (now)
- captain-claw
- 0
- agent-kernel
- 137
Stars delta
- captain-claw
- +2 (30d)
- agent-kernel
- +75 (30d)
Open issues delta
- captain-claw
- 0 (30d)
- agent-kernel
- +9 (30d)
Owner type
- captain-claw
- User
- agent-kernel
- Organization
Full report
- captain-claw
- Trust report
- agent-kernel
- Trust report
Shared compatibility
- Python · captain-claw: Python runtime · agent-kernel: Python runtime
Choose captain-claw if…
- License: captain-claw is MIT, agent-kernel is Apache-2.0.
- Tags unique to captain-claw: agent-orchestration, agentic-coding, local-friendly, model agnostic.
- captain-claw ships Docker support for self-hosted deployment.
- When you need a model-agnostic solution that supports local deployment of multiple AI agents.
When NOT to use captain-claw
- Avoid if your project needs cloud-based scalable resources, as captain-claw focuses on local setups.
- If ease-of-use and existing community support are prioritized over self-hosting flexibility.
Choose agent-kernel if…
- License: agent-kernel is Apache-2.0, captain-claw 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 (kstevica/captain-claw) · observed Sep 20, 2026
- GitHub forks (kstevica/captain-claw) · observed Sep 20, 2026
- Last push (kstevica/captain-claw) · observed Sep 16, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (yaalalabs/agent-kernel) · observed Sep 20, 2026
- GitHub forks (yaalalabs/agent-kernel) · observed Sep 20, 2026
- Last push (yaalalabs/agent-kernel) · observed Sep 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: captain-claw 163 · agent-kernel 188 (synced Sep 20, 2026).
Common questions
- What is the difference between captain-claw and agent-kernel?
- captain-claw: Self-hosted framework for orchestrating fleets of specialist AI agents. 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 captain-claw over agent-kernel?
- Choose captain-claw over agent-kernel when License: captain-claw is MIT, agent-kernel is Apache-2.0; Tags unique to captain-claw: agent-orchestration, agentic-coding, local-friendly, model agnostic; captain-claw ships Docker support for self-hosted deployment; When you need a model-agnostic solution that supports local deployment of multiple AI agents.
- When should I choose agent-kernel over captain-claw?
- Choose agent-kernel over captain-claw when License: agent-kernel is Apache-2.0, captain-claw 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 captain-claw?
- Avoid if your project needs cloud-based scalable resources, as captain-claw focuses on local setups. If ease-of-use and existing community support are prioritized over self-hosting flexibility.
- 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 captain-claw or agent-kernel more popular on GitHub?
- agent-kernel has more GitHub stars (188 vs 163). Stars measure visibility, not whether either tool fits your constraints.
- Are captain-claw and agent-kernel open source?
- Yes - both are open-source projects on GitHub (captain-claw: MIT, agent-kernel: Apache-2.0).
- Where can I find alternatives to captain-claw or agent-kernel?
- GraphCanon lists graph-backed alternatives at captain-claw alternatives and agent-kernel alternatives (captain-claw 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, captain-claw or agent-kernel?
- captain-claw: Very 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 captain-claw and agent-kernel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: captain-claw trust report; agent-kernel trust report.