--- title: "agentfield vs agent-control" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-field-agentfield-vs-agentcontrol-agent-control" tools: ["agent-field-agentfield", "agentcontrol-agent-control"] --- # agentfield vs agent-control *GraphCanon updated Aug 9, 2026* ## Verdict Pick agentfield if agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure; 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. [agentfield](http://www.agentfield.ai) reports 2.5k GitHub stars, 392 forks, and 74 open issues, last pushed Aug 1, 2026. [agent-control](https://agentcontrol.dev) has 289 stars, 44 forks, and 36 open issues, last pushed Aug 6, 2026. Figures are from public GitHub metadata via [agentfield's repository](https://github.com/Agent-Field/agentfield) and [agent-control's repository](https://github.com/agentcontrol/agent-control). | | [agentfield](/tools/agent-field-agentfield.md) | [agent-control](/tools/agentcontrol-agent-control.md) | | --- | --- | --- | | Tagline | Build, run and scale AI agents like API and microservices | Centralized agent control plane for governing runtime agent behavior at scale | | Stars | 2,472 | 289 | | Forks | 392 | 44 | | Open issues | 74 | 36 | | Language | Go | Python | | Adopt for | Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. | 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. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentfield](/tools/agent-field-agentfield.md) | [agent-control](/tools/agentcontrol-agent-control.md) | | --- | --- | --- | | Days since push | 0d | 2d | | Open issues (now) | 74 | 36 | | Full report | [trust report](/tools/agent-field-agentfield/trust.md) | [trust report](/tools/agentcontrol-agent-control/trust.md) | ## Decision facts: agentfield - **Adopt for:** Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. ## 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. ## Choose when ### Choose agentfield if… - agentfield is primarily Go; agent-control is Python. - Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai. - When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception. ### Choose agent-control if… - agent-control is primarily Python; agentfield is Go. - 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 agentfield - If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot 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. ## Common questions ### What is the difference between agentfield and agent-control? agentfield: Build, run and scale AI agents like API and microservices. agent-control: Centralized agent control plane for governing runtime agent behavior at scale. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentfield over agent-control? Choose agentfield over agent-control when agentfield is primarily Go; agent-control is Python; Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai; When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception. ### When should I choose agent-control over agentfield? Choose agent-control over agentfield when agent-control is primarily Python; agentfield is Go; 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 avoid agentfield? If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments. ### 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. ### Is agentfield or agent-control more popular on GitHub? agentfield has more GitHub stars (2,472 vs 289). Stars measure visibility, not whether either tool fits your constraints. ### Are agentfield and agent-control open source? Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, agent-control: Apache-2.0). ### Where can I find alternatives to agentfield or agent-control? GraphCanon lists graph-backed alternatives at [agentfield alternatives](/tools/agent-field-agentfield/alternatives) and [agent-control alternatives](/tools/agentcontrol-agent-control/alternatives) ([agentfield markdown twin](/tools/agent-field-agentfield/alternatives.md), [agent-control markdown twin](/tools/agentcontrol-agent-control/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/agent-field-agentfield-vs-agentcontrol-agent-control.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentfield or agent-control? agentfield: Very active. agent-control: 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 agentfield and agent-control? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentfield trust report](/tools/agent-field-agentfield/trust); [agent-control trust report](/tools/agentcontrol-agent-control/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agent-field-agentfield`](/api/graphcanon/graph?tool=agent-field-agentfield) - 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/_