--- title: "agent-control vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentcontrol-agent-control-vs-reworkd-agentgpt" tools: ["agentcontrol-agent-control", "reworkd-agentgpt"] --- # agent-control vs AgentGPT *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 AgentGPT if agentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their. [agent-control](https://agentcontrol.dev) reports 305 GitHub stars, 51 forks, and 36 open issues, last pushed Sep 9, 2026. [AgentGPT](https://agentgpt.reworkd.ai) has 36k stars, 9.3k forks, and 219 open issues, last pushed Apr 29, 2025. Figures are from public GitHub metadata via [agent-control's repository](https://github.com/agentcontrol/agent-control) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [agent-control](/tools/agentcontrol-agent-control.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | Centralized agent control plane for governing runtime agent behavior at scale | Assembler for autonomous AI Agents | | Stars | 305 | 36,297 | | Forks | 51 | 9,262 | | Open issues | 36 | 219 | | Language | Python | TypeScript | | 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. | AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | GPL-3.0 | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-control](/tools/agentcontrol-agent-control.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 1d | 497d | | Archived on GitHub | No | Yes | | Open issues (now) | 36 | 219 | | Stars delta | +16 (30d) | -7 (30d) | | Full report | [trust report](/tools/agentcontrol-agent-control/trust.md) | [trust report](/tools/reworkd-agentgpt/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: AgentGPT - **Adopt for:** AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects ## Choose when ### Choose agent-control if… - agent-control is primarily Python; AgentGPT is TypeScript. - License: agent-control is Apache-2.0, AgentGPT is GPL-3.0. - Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm. - Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments. ### Choose AgentGPT if… - AgentGPT is primarily TypeScript; agent-control is Python. - License: AgentGPT is GPL-3.0, agent-control is Apache-2.0. - Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup. - Also covers Developer Tools. - When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI ## 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 AgentGPT - Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box - Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ## Common questions ### What is the difference between agent-control and AgentGPT? agent-control: Centralized agent control plane for governing runtime agent behavior at scale. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-control over AgentGPT? Choose agent-control over AgentGPT when agent-control is primarily Python; AgentGPT is TypeScript; License: agent-control is Apache-2.0, AgentGPT is GPL-3.0; Tags unique to agent-control: agentic-workflow, ai-safety, guardrails, llm; Use agent-control if you need to centrally manage the behavior of multiple AI agents in production environments. ### When should I choose AgentGPT over agent-control? Choose AgentGPT over agent-control when AgentGPT is primarily TypeScript; agent-control is Python; License: AgentGPT is GPL-3.0, agent-control is Apache-2.0; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; Also covers Developer Tools; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI. ### 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 AgentGPT? Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ### Is agent-control or AgentGPT more popular on GitHub? AgentGPT has more GitHub stars (36,297 vs 305). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-control and AgentGPT open source? Yes - both are open-source projects on GitHub (agent-control: Apache-2.0, AgentGPT: GPL-3.0). ### Where can I find alternatives to agent-control or AgentGPT? GraphCanon lists graph-backed alternatives at [agent-control alternatives](/tools/agentcontrol-agent-control/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([agent-control markdown twin](/tools/agentcontrol-agent-control/alternatives.md), [AgentGPT markdown twin](/tools/reworkd-agentgpt/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-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-control or AgentGPT? agent-control: Very active. AgentGPT: Archived. 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 AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-control trust report](/tools/agentcontrol-agent-control/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/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/_