--- title: "thinkgpt vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jina-ai-thinkgpt-vs-reworkd-agentgpt" tools: ["jina-ai-thinkgpt", "reworkd-agentgpt"] --- # thinkgpt vs AgentGPT *GraphCanon updated Aug 8, 2026* ## Verdict Pick thinkgpt if thinkGPT stands out for its specialization in agent techniques to expand the abilities of large language models, offering unique value through Python integration under an Apache-2.0 license; 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. [thinkgpt](https://github.com/jina-ai/thinkgpt) reports 1.6k GitHub stars, 132 forks, and 16 open issues, last pushed May 23, 2024. [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 [thinkgpt's repository](https://github.com/jina-ai/thinkgpt) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [thinkgpt](/tools/jina-ai-thinkgpt.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | Agent techniques to augment your LLM and push it beyond its limits | Assembler for autonomous AI Agents | | Stars | 1,581 | 36,304 | | Forks | 132 | 9,288 | | Open issues | 16 | 219 | | Language | Python | TypeScript | | Adopt for | ThinkGPT stands out for its specialization in agent techniques to expand the abilities of large language models, offering unique value through Python integration under an Apache-2.0 license. | 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 | ThinkGPT is released under the permissive Apache-2.0 license. | GPL-3.0 | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [thinkgpt](/tools/jina-ai-thinkgpt.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Archived (8%) | | Days since push | 806d | 466d | | Archived on GitHub | No | Yes | | Open issues (now) | 16 | 219 | | Full report | [trust report](/tools/jina-ai-thinkgpt/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## Decision facts: thinkgpt - **Pricing:** freemium - Open source with no direct costs, but may require resource investment for setup and maintenance. - **Requirements:** Min 4 GB RAM; Python environment is necessary. No Docker container required. - **Adopt for:** ThinkGPT stands out for its specialization in agent techniques to expand the abilities of large language models, offering unique value through Python integration under an Apache-2.0 license. - **License detail:** ThinkGPT is released under the permissive Apache-2.0 license. ## 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 thinkgpt if… - thinkgpt is primarily Python; AgentGPT is TypeScript. - License: thinkgpt is Apache-2.0, AgentGPT is GPL-3.0. - Pricing: Open source with no direct costs, but may require resource investment for setup and maintenance.. - Requirements: Min 4 GB RAM; Python environment is necessary. No Docker container required.. - Tags unique to thinkgpt: agent techniques, llm augmentation, machine learning enhancement, python library. - When you need advanced augmentation for your existing language model capabilities with an emphasis on agent-based techniques. ### Choose AgentGPT if… - AgentGPT is primarily TypeScript; thinkgpt is Python. - License: AgentGPT is GPL-3.0, thinkgpt is Apache-2.0. - Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup. - 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 thinkgpt - If your project requires direct access to pre-built agent components from other libraries (e.g., LangChain), as ThinkGPT focuses on its own augmentation approach. - In scenarios where integration with proprietary or closed-source systems is required, given ThinkGPT's open-source nature under the Apache-2.0 license. ## 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 thinkgpt and AgentGPT? thinkgpt: Agent techniques to augment your LLM and push it beyond its limits. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose thinkgpt over AgentGPT? Choose thinkgpt over AgentGPT when thinkgpt is primarily Python; AgentGPT is TypeScript; License: thinkgpt is Apache-2.0, AgentGPT is GPL-3.0; Pricing: Open source with no direct costs, but may require resource investment for setup and maintenance.; Requirements: Min 4 GB RAM; Python environment is necessary. No Docker container required.; Tags unique to thinkgpt: agent techniques, llm augmentation, machine learning enhancement, python library; When you need advanced augmentation for your existing language model capabilities with an emphasis on agent-based techniques. ### When should I choose AgentGPT over thinkgpt? Choose AgentGPT over thinkgpt when AgentGPT is primarily TypeScript; thinkgpt is Python; License: AgentGPT is GPL-3.0, thinkgpt is Apache-2.0; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; 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 thinkgpt? If your project requires direct access to pre-built agent components from other libraries (e.g., LangChain), as ThinkGPT focuses on its own augmentation approach. In scenarios where integration with proprietary or closed-source systems is required, given ThinkGPT's open-source nature under the Apache-2.0 license. ### 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 thinkgpt or AgentGPT more popular on GitHub? AgentGPT has more GitHub stars (36,304 vs 1,581). Stars measure visibility, not whether either tool fits your constraints. ### Are thinkgpt and AgentGPT open source? Yes - both are open-source projects on GitHub (thinkgpt: Apache-2.0, AgentGPT: GPL-3.0). ### Where can I find alternatives to thinkgpt or AgentGPT? GraphCanon lists graph-backed alternatives at [thinkgpt alternatives](/tools/jina-ai-thinkgpt/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([thinkgpt markdown twin](/tools/jina-ai-thinkgpt/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/jina-ai-thinkgpt-vs-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, thinkgpt or AgentGPT? thinkgpt: Dormant. 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 thinkgpt and AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [thinkgpt trust report](/tools/jina-ai-thinkgpt/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jina-ai-thinkgpt`](/api/graphcanon/graph?tool=jina-ai-thinkgpt) - 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/_