--- title: "agent-control vs containerpilot" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentcontrol-agent-control-vs-tritondatacenter-containerpilot" tools: ["agentcontrol-agent-control", "tritondatacenter-containerpilot"] --- # agent-control vs containerpilot *GraphCanon updated Sep 20, 2026* ## 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 containerpilot if containerpilot is a Go-based tool by Joyent for application autodiscovery and configuration in container environments. [agent-control](https://agentcontrol.dev) reports 305 GitHub stars, 51 forks, and 36 open issues, last pushed Sep 9, 2026. [containerpilot](https://github.com/TritonDataCenter/containerpilot) has 1.1k stars, 135 forks, and 43 open issues, last pushed Sep 20, 2023. Figures are from public GitHub metadata via [agent-control's repository](https://github.com/agentcontrol/agent-control) and [containerpilot's repository](https://github.com/TritonDataCenter/containerpilot). | | [agent-control](/tools/agentcontrol-agent-control.md) | [containerpilot](/tools/tritondatacenter-containerpilot.md) | | --- | --- | --- | | Tagline | Centralized agent control plane for governing runtime agent behavior at scale | A service for autodiscovery and configuration of applications running in containers | | Stars | 305 | 1,128 | | Forks | 51 | 135 | | Open issues | 36 | 43 | | Language | Python | Go | | Adopt for | 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. | Containerpilot is a Go-based tool by Joyent for application autodiscovery and configuration in container environments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MPL-2.0 | | Categories | AI Agents | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-control](/tools/agentcontrol-agent-control.md) | [containerpilot](/tools/tritondatacenter-containerpilot.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 1d | 1095d | | Open issues (now) | 36 | 43 | | Stars delta | +16 (30d) | -3 (30d) | | Full report | [trust report](/tools/agentcontrol-agent-control/trust.md) | [trust report](/tools/tritondatacenter-containerpilot/trust.md) | ## Decision facts: agent-control - **Adopt for:** 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. ## Decision facts: containerpilot - **Adopt for:** Containerpilot is a Go-based tool by Joyent for application autodiscovery and configuration in container environments. ## Choose when ### Choose agent-control if… - agent-control is primarily Python; containerpilot is Go. - License: agent-control is Apache-2.0, containerpilot is MPL-2.0. - Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm. - Also covers AI Agents. - Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments. ### Choose containerpilot if… - containerpilot is primarily Go; agent-control is Python. - License: containerpilot is MPL-2.0, agent-control is Apache-2.0. - Tags unique to containerpilot: consul, containerpilot, containers, docker. - Also covers Developer Tools. - When integrating with the Triton Data Center ecosystem, since Containerpilot has strong ties to this environment and services like Consul that are prevalent within it. ## 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. ## When NOT to use containerpilot - When your setup is heavily dependent on features not native to Containerpilot, such as advanced Kubernetes service mesh capabilities absent from this tool's feature set. - If the MIT License or similar permissiveness is a requirement for your project, since Containerpilot is licensed under MPL-2.0 which has share-alike requirements. ## Common questions ### What is the difference between agent-control and containerpilot? agent-control: Centralized agent control plane for governing runtime agent behavior at scale. containerpilot: A service for autodiscovery and configuration of applications running in containers. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-control over containerpilot? Choose agent-control over containerpilot when agent-control is primarily Python; containerpilot is Go; License: agent-control is Apache-2.0, containerpilot is MPL-2.0; Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm; Also covers AI Agents; Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments. ### When should I choose containerpilot over agent-control? Choose containerpilot over agent-control when containerpilot is primarily Go; agent-control is Python; License: containerpilot is MPL-2.0, agent-control is Apache-2.0; Tags unique to containerpilot: consul, containerpilot, containers, docker; Also covers Developer Tools; When integrating with the Triton Data Center ecosystem, since Containerpilot has strong ties to this environment and services like Consul that are prevalent within it. ### 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 containerpilot? When your setup is heavily dependent on features not native to Containerpilot, such as advanced Kubernetes service mesh capabilities absent from this tool's feature set. If the MIT License or similar permissiveness is a requirement for your project, since Containerpilot is licensed under MPL-2.0 which has share-alike requirements. ### Is agent-control or containerpilot more popular on GitHub? containerpilot has more GitHub stars (1,128 vs 305). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-control and containerpilot open source? Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, containerpilot: MPL-2.0). ### Where can I find alternatives to agent-control or containerpilot? GraphCanon lists graph-backed alternatives at [agent-control alternatives](/tools/agentcontrol-agent-control/alternatives) and [containerpilot alternatives](/tools/tritondatacenter-containerpilot/alternatives) ([agent-control markdown twin](/tools/agentcontrol-agent-control/alternatives.md), [containerpilot markdown twin](/tools/tritondatacenter-containerpilot/alternatives.md)), 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](/compare/agentcontrol-agent-control-vs-tritondatacenter-containerpilot.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-control or containerpilot? agent-control: Very active. containerpilot: Dormant. 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 containerpilot? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-control trust report](/tools/agentcontrol-agent-control/trust); [containerpilot trust report](/tools/tritondatacenter-containerpilot/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentcontrol-agent-control`](/api/graphcanon/graph?tool=agentcontrol-agent-control) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_