--- title: "loop-engineering vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cobusgreyling-loop-engineering-vs-reworkd-agentgpt" tools: ["cobusgreyling-loop-engineering", "reworkd-agentgpt"] --- # loop-engineering vs AgentGPT *GraphCanon updated Aug 8, 2026* ## Verdict Pick loop-engineering if provides tools for prompting and orchestrating AI coding agents with specific CLI utilities like loop-audit, loop-init, and loop-cost; 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 AI projects. [loop-engineering](https://cobusgreyling.github.io/loop-engineering/) reports 9.5k GitHub stars, 1.3k forks, and 21 open issues, last pushed Jul 27, 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 [loop-engineering's repository](https://github.com/cobusgreyling/loop-engineering) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [loop-engineering](/tools/cobusgreyling-loop-engineering.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | Tools for loop engineering with AI coding agents | Assembler for autonomous AI Agents | | Stars | 9,490 | 36,304 | | Forks | 1,298 | 9,288 | | Open issues | 21 | 219 | | Language | JavaScript | TypeScript | | Adopt for | Provides tools for prompting and orchestrating AI coding agents with specific CLI utilities like loop-audit, loop-init, and loop-cost. | 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 | MIT | GPL-3.0 | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [loop-engineering](/tools/cobusgreyling-loop-engineering.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 0d | 466d | | Archived on GitHub | No | Yes | | Open issues (now) | 21 | 219 | | Owner type | User | Organization | | Full report | [trust report](/tools/cobusgreyling-loop-engineering/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## Decision facts: loop-engineering - **Adopt for:** Provides tools for prompting and orchestrating AI coding agents with specific CLI utilities like loop-audit, loop-init, and loop-cost. ## 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 loop-engineering if… - loop-engineering is primarily JavaScript; AgentGPT is TypeScript. - License: loop-engineering is MIT, AgentGPT is GPL-3.0. - Tags unique to loop-engineering: agentic-ai, ai-agents, ai-coding, automation. - When you need to design systems that integrate and orchestrate multiple AI coding agents in software development. ### Choose AgentGPT if… - AgentGPT is primarily TypeScript; loop-engineering is JavaScript. - License: AgentGPT is GPL-3.0, loop-engineering is MIT. - Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup. - AgentGPT ships Docker support for self-hosted deployment. - When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI ## When NOT to use loop-engineering - Avoid if you are looking for a simple wrapper around generic AI calls without specific patterns or starters provided by loop-engineering. - Not suitable when the development workflow does not require orchestration of multiple coding agents, as its utilities may be overkill. ## 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 loop-engineering and AgentGPT? loop-engineering: Tools for loop engineering with AI coding agents. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose loop-engineering over AgentGPT? Choose loop-engineering over AgentGPT when loop-engineering is primarily JavaScript; AgentGPT is TypeScript; License: loop-engineering is MIT, AgentGPT is GPL-3.0; Tags unique to loop-engineering: agentic-ai, ai-agents, ai-coding, automation; When you need to design systems that integrate and orchestrate multiple AI coding agents in software development. ### When should I choose AgentGPT over loop-engineering? Choose AgentGPT over loop-engineering when AgentGPT is primarily TypeScript; loop-engineering is JavaScript; License: AgentGPT is GPL-3.0, loop-engineering is MIT; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; AgentGPT ships Docker support for self-hosted deployment; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI. ### When should I avoid loop-engineering? Avoid if you are looking for a simple wrapper around generic AI calls without specific patterns or starters provided by loop-engineering. Not suitable when the development workflow does not require orchestration of multiple coding agents, as its utilities may be overkill. ### 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 loop-engineering or AgentGPT more popular on GitHub? AgentGPT has more GitHub stars (36,304 vs 9,490). Stars measure visibility, not whether either tool fits your constraints. ### Are loop-engineering and AgentGPT open source? Yes - both are open-source projects on GitHub (loop-engineering: MIT, AgentGPT: GPL-3.0). ### Where can I find alternatives to loop-engineering or AgentGPT? GraphCanon lists graph-backed alternatives at [loop-engineering alternatives](/tools/cobusgreyling-loop-engineering/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([loop-engineering markdown twin](/tools/cobusgreyling-loop-engineering/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/cobusgreyling-loop-engineering-vs-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, loop-engineering or AgentGPT? loop-engineering: 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 loop-engineering and AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [loop-engineering trust report](/tools/cobusgreyling-loop-engineering/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cobusgreyling-loop-engineering`](/api/graphcanon/graph?tool=cobusgreyling-loop-engineering) - 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/_