Comparison
agent-protocol vs agent-kernel
Verdict
Pick agent-protocol if agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking; 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 · agent-protocol alternatives · agent-kernel alternatives
GraphCanon updated Sep 20, 2026
6views this month
vs
Trust & integrity
| Signal | agent-protocol | agent-kernel |
|---|---|---|
| Maintenance | Dormant (515d since push) As of Sep 5, 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 5, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 13, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 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
- agent-protocol
- Common interface for AI agents
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- agent-protocol
- 1.5k
- agent-kernel
- 188
Forks
- agent-protocol
- 186
- agent-kernel
- 86
Open issues
- agent-protocol
- 49
- agent-kernel
- 137
Language
- agent-protocol
- Python
- agent-kernel
- Python
Adopt for
- agent-protocol
- agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking.
- 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
- agent-protocol
- -
- agent-kernel
- -
Runtime
- agent-protocol
- -
- agent-kernel
- -
License
- agent-protocol
- MIT
- agent-kernel
- Apache-2.0
Last pushed
- agent-protocol
- Apr 8, 2025
- agent-kernel
- Sep 11, 2026
Categories
- agent-protocol
- AI Agents
- agent-kernel
- AI Agents
Trust and health
Maintenance
- agent-protocol
- Dormant (18%)
- agent-kernel
- Very active (96%)
Days since push
- agent-protocol
- 515d
- agent-kernel
- 1d
Open issues (now)
- agent-protocol
- 49
- agent-kernel
- 137
Stars delta
- agent-protocol
- -4 (30d)
- agent-kernel
- +75 (30d)
Open issues delta
- agent-protocol
- -1 (30d)
- agent-kernel
- +9 (30d)
OSV dependency advisories
- agent-protocol
- Published findings
- agent-kernel
- No lockfile (source not queried)
Full report
- agent-protocol
- Trust report
- agent-kernel
- Trust report
Choose agent-protocol if…
- License: agent-protocol is MIT, agent-kernel is Apache-2.0.
- Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt.
- When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.
When NOT to use agent-protocol
- If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope.
- When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer.
Choose agent-kernel if…
- License: agent-kernel is Apache-2.0, agent-protocol 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 (agi-inc/agent-protocol) · observed Sep 20, 2026
- GitHub forks (agi-inc/agent-protocol) · observed Sep 20, 2026
- Last push (agi-inc/agent-protocol) · observed Apr 8, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: agent-protocol 1.5k · agent-kernel 188 (synced Sep 20, 2026).
Common questions
- What is the difference between agent-protocol and agent-kernel?
- agent-protocol: Common interface for 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 agent-protocol over agent-kernel?
- Choose agent-protocol over agent-kernel when License: agent-protocol is MIT, agent-kernel is Apache-2.0; Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.
- When should I choose agent-kernel over agent-protocol?
- Choose agent-kernel over agent-protocol when License: agent-kernel is Apache-2.0, agent-protocol 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 agent-protocol?
- If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer.
- 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 agent-protocol or agent-kernel more popular on GitHub?
- agent-protocol has more GitHub stars (1,454 vs 188). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-protocol and agent-kernel open source?
- Yes - both are open-source projects on GitHub (agent-protocol: MIT, agent-kernel: Apache-2.0).
- Where can I find alternatives to agent-protocol or agent-kernel?
- GraphCanon lists graph-backed alternatives at agent-protocol alternatives and agent-kernel alternatives (agent-protocol 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, agent-protocol or agent-kernel?
- agent-protocol: Dormant. 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 agent-protocol and agent-kernel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-protocol trust report; agent-kernel trust report.