Comparison
agent-control vs agent-kernel
Verdict
Pick agent-control if agent-control is a highly configurable and extensible centralized agent control system that governs runtime behavior of agents at scale via UI or SDK/API; 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-control alternatives · agent-kernel alternatives
GraphCanon updated Sep 20, 2026
14views this month
vs
Trust & integrity
| Signal | agent-control | agent-kernel |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 11, 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 11, 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
- agent-control
- Centralized agent control plane for governing runtime agent behavior at scale
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- agent-control
- 305
- agent-kernel
- 188
Forks
- agent-control
- 51
- agent-kernel
- 86
Open issues
- agent-control
- 36
- agent-kernel
- 137
Language
- agent-control
- Python
- agent-kernel
- Python
Adopt for
- agent-control
- agent-control is a highly configurable and extensible centralized agent control system that governs runtime behavior of agents at scale via UI or SDK/API.
- 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-control
- -
- agent-kernel
- -
Runtime
- agent-control
- -
- agent-kernel
- -
License
- agent-control
- Apache-2.0
- agent-kernel
- Apache-2.0
Last pushed
- agent-control
- Sep 9, 2026
- agent-kernel
- Sep 11, 2026
Categories
- agent-control
- AI Agents
- agent-kernel
- AI Agents
Trust and health
Open issues (now)
- agent-control
- 36
- agent-kernel
- 137
Stars delta
- agent-control
- +16 (30d)
- agent-kernel
- +75 (30d)
Open issues delta
- agent-control
- 0 (30d)
- agent-kernel
- +9 (30d)
Full report
- agent-control
- Trust report
- agent-kernel
- Trust report
Shared compatibility
- Python · agent-control: Python runtime · agent-kernel: Python runtime
Choose agent-control if…
- Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm.
- agent-control ships Docker support for self-hosted deployment.
- Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments.
When NOT to use agent-control
- Avoid using agent-control when your project does not require centralized control for large-scale AI agent management.
- Not recommended if your setup is simplistic or relies solely on languages other than Python or TypeScript, since the tool primarily supports these two.
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 (agentcontrol/agent-control) · observed Sep 20, 2026
- GitHub forks (agentcontrol/agent-control) · observed Sep 20, 2026
- Last push (agentcontrol/agent-control) · observed Sep 9, 2026
- License file (Apache-2.0) · 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: agent-control 305 · agent-kernel 188 (synced Sep 20, 2026).
Common questions
- What is the difference between agent-control and agent-kernel?
- agent-control: Centralized agent control plane for governing runtime agent behavior at scale. 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-control over agent-kernel?
- Choose agent-control over agent-kernel when Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm; agent-control ships Docker support for self-hosted deployment; Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments.
- When should I choose agent-kernel over agent-control?
- Choose agent-kernel over agent-control 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-control?
- Avoid using agent-control when your project does not require centralized control for large-scale AI agent management. Not recommended if your setup is simplistic or relies solely on languages other than Python or TypeScript, since the tool primarily supports these two.
- 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-control or agent-kernel more popular on GitHub?
- agent-control has more GitHub stars (305 vs 188). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-control and agent-kernel open source?
- Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, agent-kernel: Apache-2.0).
- Where can I find alternatives to agent-control or agent-kernel?
- GraphCanon lists graph-backed alternatives at agent-control alternatives and agent-kernel alternatives (agent-control 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-control or agent-kernel?
- agent-control: 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 agent-control and agent-kernel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-control trust report; agent-kernel trust report.