--- title: "deep-chat vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ovidijusparsiunas-deep-chat-vs-reworkd-agentgpt" tools: ["ovidijusparsiunas-deep-chat", "reworkd-agentgpt"] --- # deep-chat vs AgentGPT *GraphCanon updated Sep 20, 2026* ## Verdict Pick deep-chat if deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace and OpenAI; 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. [deep-chat](https://deepchat.dev) reports 3.7k GitHub stars, 455 forks, and 39 open issues, last pushed Sep 18, 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 [deep-chat's repository](https://github.com/OvidijusParsiunas/deep-chat) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [deep-chat](/tools/ovidijusparsiunas-deep-chat.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | Fully customizable AI chatbot component for website integration | Assembler for autonomous AI Agents | | Stars | 3,716 | 36,297 | | Forks | 455 | 9,262 | | Open issues | 39 | 219 | | Language | TypeScript | TypeScript | | Adopt for | deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace and OpenAI. | 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 | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [deep-chat](/tools/ovidijusparsiunas-deep-chat.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) | 39 | 219 | | Stars delta | +17 (30d) | -7 (30d) | | Open issues delta | +3 (30d) | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/ovidijusparsiunas-deep-chat/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## Decision facts: deep-chat - **Adopt for:** deep-chat is a TypeScript-based component for developing customizable AI chatbots that work with multiple frontend frameworks and integrate various backend models such as HuggingFace and OpenAI. ## 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 deep-chat if… - License: deep-chat is MIT, AgentGPT is GPL-3.0. - Tags unique to deep-chat: ai-chatbot, chatgpt, claude, gemini. - Use deep-chat if you are working on a project where front end flexibility is important, given its support for React, Vue, Svelte, and more. ### Choose AgentGPT if… - License: AgentGPT is GPL-3.0, deep-chat is MIT. - 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 deep-chat - Avoid using deep-chat if project requirements dictate exclusive use of a non-TypeScript backend setup or frontend framework not supported by deep-chat. - Do not use deep-chat when your team lacks TypeScript experience and cannot dedicate time to learn it, as this may slow down development. ## 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 deep-chat and AgentGPT? deep-chat: Fully customizable AI chatbot component for website integration. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose deep-chat over AgentGPT? Choose deep-chat over AgentGPT when License: deep-chat is MIT, AgentGPT is GPL-3.0; Tags unique to deep-chat: ai-chatbot, chatgpt, claude, gemini; Use deep-chat if you are working on a project where front end flexibility is important, given its support for React, Vue, Svelte, and more. ### When should I choose AgentGPT over deep-chat? Choose AgentGPT over deep-chat when License: AgentGPT is GPL-3.0, deep-chat is MIT; 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 deep-chat? Avoid using deep-chat if project requirements dictate exclusive use of a non-TypeScript backend setup or frontend framework not supported by deep-chat. Do not use deep-chat when your team lacks TypeScript experience and cannot dedicate time to learn it, as this may slow down development. ### 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 deep-chat or AgentGPT more popular on GitHub? AgentGPT has more GitHub stars (36,297 vs 3,716). Stars measure visibility, not whether either tool fits your constraints. ### Are deep-chat and AgentGPT open source? Yes - both are open-source projects on GitHub (deep-chat: MIT, AgentGPT: GPL-3.0). ### Where can I find alternatives to deep-chat or AgentGPT? GraphCanon lists graph-backed alternatives at [deep-chat alternatives](/tools/ovidijusparsiunas-deep-chat/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([deep-chat markdown twin](/tools/ovidijusparsiunas-deep-chat/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/ovidijusparsiunas-deep-chat-vs-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, deep-chat or AgentGPT? deep-chat: 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 deep-chat and AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [deep-chat trust report](/tools/ovidijusparsiunas-deep-chat/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ovidijusparsiunas-deep-chat`](/api/graphcanon/graph?tool=ovidijusparsiunas-deep-chat) - 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/_