--- title: "agent-control vs OpenAGI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentcontrol-agent-control-vs-agiresearch-openagi" tools: ["agentcontrol-agent-control", "agiresearch-openagi"] --- # agent-control vs OpenAGI *GraphCanon updated Aug 9, 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 OpenAGI if openAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. [agent-control](https://agentcontrol.dev) reports 289 GitHub stars, 44 forks, and 36 open issues, last pushed Aug 6, 2026. [OpenAGI](https://docs.aios.foundation) has 2.3k stars, 211 forks, and 10 open issues, last pushed Nov 28, 2024. Figures are from public GitHub metadata via [agent-control's repository](https://github.com/agentcontrol/agent-control) and [OpenAGI's repository](https://github.com/agiresearch/OpenAGI). | | [agent-control](/tools/agentcontrol-agent-control.md) | [OpenAGI](/tools/agiresearch-openagi.md) | | --- | --- | --- | | Tagline | Centralized agent control plane for governing runtime agent behavior at scale | Agent creation package for building agents in AIOS | | Stars | 289 | 2,280 | | Forks | 44 | 211 | | Open issues | 36 | 10 | | Language | Python | Python | | 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. | OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT license allows freedom to use for any purpose with attribution. | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-control](/tools/agentcontrol-agent-control.md) | [OpenAGI](/tools/agiresearch-openagi.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 2d | 617d | | Open issues (now) | 36 | 10 | | Full report | [trust report](/tools/agentcontrol-agent-control/trust.md) | [trust report](/tools/agiresearch-openagi/trust.md) | ## Shared compatibility - **Python**: [agent-control](/tools/agentcontrol-agent-control.md) - Python runtime; [OpenAGI](/tools/agiresearch-openagi.md) - Python runtime ## 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: OpenAGI - **Hosting:** self hosted - OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure. - **Pricing:** freemium - Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository. - **Adopt for:** OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. - **License detail:** MIT license allows freedom to use for any purpose with attribution. ## Choose when ### Choose agent-control if… - License: agent-control is Apache-2.0, OpenAGI is MIT. - 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. ### Choose OpenAGI if… - License: OpenAGI is MIT, agent-control is Apache-2.0. - OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure. - Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.. - Tags unique to OpenAGI: agents, agiresearch, aios. - - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul ## 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 OpenAGI - - **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions - - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement ## Common questions ### What is the difference between agent-control and OpenAGI? agent-control: Centralized agent control plane for governing runtime agent behavior at scale. OpenAGI: Agent creation package for building agents in AIOS. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-control over OpenAGI? Choose agent-control over OpenAGI when License: agent-control is Apache-2.0, OpenAGI is MIT; 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 OpenAGI over agent-control? Choose OpenAGI over agent-control when License: OpenAGI is MIT, agent-control is Apache-2.0; OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure; Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.; Tags unique to OpenAGI: agents, agiresearch, aios; - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul. ### 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 OpenAGI? - **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement ### Is agent-control or OpenAGI more popular on GitHub? OpenAGI has more GitHub stars (2,280 vs 289). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-control and OpenAGI open source? Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, OpenAGI: MIT). ### Where can I find alternatives to agent-control or OpenAGI? GraphCanon lists graph-backed alternatives at [agent-control alternatives](/tools/agentcontrol-agent-control/alternatives) and [OpenAGI alternatives](/tools/agiresearch-openagi/alternatives) ([agent-control markdown twin](/tools/agentcontrol-agent-control/alternatives.md), [OpenAGI markdown twin](/tools/agiresearch-openagi/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-agiresearch-openagi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-control or OpenAGI? agent-control: Very active. OpenAGI: 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 OpenAGI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-control trust report](/tools/agentcontrol-agent-control/trust); [OpenAGI trust report](/tools/agiresearch-openagi/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/_