--- title: "camel vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/camel-ai-camel-vs-reworkd-agentgpt" tools: ["camel-ai-camel", "reworkd-agentgpt"] --- # camel vs AgentGPT *GraphCanon updated Aug 17, 2026* ## Verdict Pick camel if cAMEL exemplifies a pioneering multi-agent framework designed to foster advanced interaction among AI agents through collaboration, communication, and learning; 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. [camel](https://docs.camel-ai.org/) reports 18k GitHub stars, 2.0k forks, and 471 open issues, last pushed Aug 14, 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 [camel's repository](https://github.com/camel-ai/camel) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [camel](/tools/camel-ai-camel.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | CAMEL: The first and the best multi-agent framework | Assembler for autonomous AI Agents | | Stars | 17,592 | 36,304 | | Forks | 2,042 | 9,288 | | Open issues | 471 | 219 | | Language | Python | TypeScript | | Adopt for | CAMEL exemplifies a pioneering multi-agent framework designed to foster advanced interaction among AI agents through collaboration, communication, and learning. | 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 | The project uses the Apache 2.0 license, allowing free use, modification, and distribution. It comes with no warranty. | GPL-3.0 | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [camel](/tools/camel-ai-camel.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 2d | 466d | | Archived on GitHub | No | Yes | | Open issues (now) | 471 | 219 | | Stars delta | +178 (30d) | Unknown | | Open issues delta | +4 (30d) | Unknown | | Full report | [trust report](/tools/camel-ai-camel/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## Decision facts: camel - **Requirements:** Installation is straightforward through PyPI. Ensure Python and pip are installed before running 'pip install camel-ai'. - **Adopt for:** CAMEL exemplifies a pioneering multi-agent framework designed to foster advanced interaction among AI agents through collaboration, communication, and learning. - **License detail:** The project uses the Apache 2.0 license, allowing free use, modification, and distribution. It comes with no warranty. ## 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 camel if… - camel is primarily Python; AgentGPT is TypeScript. - License: camel is Apache-2.0, AgentGPT is GPL-3.0. - Requirements: Installation is straightforward through PyPI. Ensure Python and pip are installed before running 'pip install camel-ai'.. - Tags unique to camel: communicative-ai, cooperative-ai, deep-learning, infrastruture-automation. - You should consider using CAMEL if you are involved in developing scenarios where multiple AI agents need to collaborate effectively. It is well-suited for real-world applications such as managing IT/ ### Choose AgentGPT if… - AgentGPT is primarily TypeScript; camel is Python. - License: AgentGPT is GPL-3.0, camel is Apache-2.0. - Tags unique to AgentGPT: autonomous, backend-development, cli-setup, database-integration. - Also covers Developer Tools. - 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 camel - Avoid using CAMEL if your project does not require interactions among multiple agents or if scalability of the multi-agent system is not a priority. - Do not opt for CAMEL when you need focused single-agent AI capabilities, as its design centers on multi-agent environments and may impose unnecessary complexity. ## 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 camel and AgentGPT? camel: CAMEL: The first and the best multi-agent framework. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose camel over AgentGPT? Choose camel over AgentGPT when camel is primarily Python; AgentGPT is TypeScript; License: camel is Apache-2.0, AgentGPT is GPL-3.0; Requirements: Installation is straightforward through PyPI. Ensure Python and pip are installed before running 'pip install camel-ai'.; Tags unique to camel: communicative-ai, cooperative-ai, deep-learning, infrastruture-automation; You should consider using CAMEL if you are involved in developing scenarios where multiple AI agents need to collaborate effectively. It is well-suited for real-world applications such as managing IT/. ### When should I choose AgentGPT over camel? Choose AgentGPT over camel when AgentGPT is primarily TypeScript; camel is Python; License: AgentGPT is GPL-3.0, camel is Apache-2.0; Tags unique to AgentGPT: autonomous, backend-development, cli-setup, database-integration; Also covers Developer Tools; 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 camel? Avoid using CAMEL if your project does not require interactions among multiple agents or if scalability of the multi-agent system is not a priority. Do not opt for CAMEL when you need focused single-agent AI capabilities, as its design centers on multi-agent environments and may impose unnecessary complexity. ### 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 camel or AgentGPT more popular on GitHub? AgentGPT has more GitHub stars (36,304 vs 17,592). Stars measure visibility, not whether either tool fits your constraints. ### Are camel and AgentGPT open source? Yes - both are open-source projects on GitHub (camel: Apache-2.0, AgentGPT: GPL-3.0). ### Where can I find alternatives to camel or AgentGPT? GraphCanon lists graph-backed alternatives at [camel alternatives](/tools/camel-ai-camel/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([camel markdown twin](/tools/camel-ai-camel/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/camel-ai-camel-vs-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, camel or AgentGPT? camel: 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 camel and AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [camel trust report](/tools/camel-ai-camel/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=camel-ai-camel`](/api/graphcanon/graph?tool=camel-ai-camel) - 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/_