Comparison
agent-opt vs agent-kernel
Verdict
Pick agent-opt if agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies; 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-opt alternatives · agent-kernel alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | agent-opt | agent-kernel |
|---|---|---|
| Maintenance | Steady (35d since push) As of 3w · github_public_v1 | Very active (2d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · 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
- agent-opt
- Open Source Library for Automated Optimization of AI Agent Workflows
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- agent-opt
- 71
- agent-kernel
- 113
Forks
- agent-opt
- 7
- agent-kernel
- 60
Open issues
- agent-opt
- 0
- agent-kernel
- 128
Language
- agent-opt
- Python
- agent-kernel
- Python
Adopt for
- agent-opt
- Agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies.
- 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-opt
- -
- agent-kernel
- -
Runtime
- agent-opt
- -
- agent-kernel
- -
License
- agent-opt
- Apache-2.0
- agent-kernel
- Apache-2.0
Last pushed
- agent-opt
- Jun 30, 2026
- agent-kernel
- Aug 7, 2026
Categories
- agent-opt
- AI Agents, Evaluation & Observability
- agent-kernel
- AI Agents
Trust and health
Maintenance
- agent-opt
- Steady (60%)
- agent-kernel
- Very active (96%)
Days since push
- agent-opt
- 35d
- agent-kernel
- 2d
Open issues (now)
- agent-opt
- 0
- agent-kernel
- 128
Full report
- agent-opt
- Trust report
- agent-kernel
- Trust report
Shared compatibility
- Python · agent-opt: Python runtime · agent-kernel: Python runtime
Choose agent-opt if…
- Tags unique to agent-opt: agent, ai-agents, aioptimization, automation.
- Also covers Evaluation & Observability.
- - When your project needs seamless CI/CD integration alongside automated optimization
When NOT to use agent-opt
- - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10
- - In scenarios where CI/CD integration is not a priority for your AI workflow optimization
Choose agent-kernel if…
- 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 (future-agi/agent-opt) · observed Aug 4, 2026
- GitHub forks (future-agi/agent-opt) · observed Aug 4, 2026
- Last push (future-agi/agent-opt) · observed Jun 30, 2026
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 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: agent-opt 71 · agent-kernel 113 (synced Aug 4, 2026).
Common questions
- What is the difference between agent-opt and agent-kernel?
- agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. 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-opt over agent-kernel?
- Choose agent-opt over agent-kernel when Tags unique to agent-opt: agent, ai-agents, aioptimization, automation; Also covers Evaluation & Observability; - When your project needs seamless CI/CD integration alongside automated optimization.
- When should I choose agent-kernel over agent-opt?
- Choose agent-kernel over agent-opt when 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-opt?
- - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10 - In scenarios where CI/CD integration is not a priority for your AI workflow optimization
- 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-opt or agent-kernel more popular on GitHub?
- agent-kernel has more GitHub stars (113 vs 71). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-opt and agent-kernel open source?
- Yes - both are open-source projects on GitHub (agent-opt: Apache-2.0, agent-kernel: Apache-2.0).
- Where can I find alternatives to agent-opt or agent-kernel?
- GraphCanon lists graph-backed alternatives at agent-opt alternatives and agent-kernel alternatives (agent-opt 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-opt or agent-kernel?
- agent-opt: 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 agent-opt and agent-kernel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-opt trust report; agent-kernel trust report.