--- title: "databerry vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gmpetrov-databerry-vs-reworkd-agentgpt" tools: ["gmpetrov-databerry", "reworkd-agentgpt"] --- # databerry vs AgentGPT *GraphCanon updated Aug 15, 2026* ## Verdict Pick databerry if suitable for users looking to develop custom LLM agents without coding expertise; 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. [databerry](https://chaindesk.ai) reports 3.0k GitHub stars, 420 forks, and 166 open issues, last pushed Jun 17, 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 [databerry's repository](https://github.com/gmpetrov/databerry) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [databerry](/tools/gmpetrov-databerry.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | The no-code platform for building custom LLM Agents | Assembler for autonomous AI Agents | | Stars | 2,965 | 36,304 | | Forks | 420 | 9,288 | | Open issues | 166 | 219 | | Language | - | TypeScript | | Adopt for | Suitable for users looking to develop custom LLM agents without coding expertise. | 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 | - | GPL-3.0 | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [databerry](/tools/gmpetrov-databerry.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Archived (8%) | | Days since push | 788d | 466d | | Archived on GitHub | No | Yes | | Open issues (now) | 166 | 219 | | Stars delta | +4 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/gmpetrov-databerry/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## Decision facts: databerry - **Adopt for:** Suitable for users looking to develop custom LLM agents without coding expertise. ## 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 databerry if… - Tags unique to databerry: ai, aichatbot, chatbot, llm. - When you have non-technical team members who need to craft and deploy specific AI chatbot functionalities. - Leaner open-issue backlog (166). ### Choose AgentGPT if… - 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 databerry - If you are a seasoned developer looking for customizable control over agent functions beyond no-code capabilities. - In scenarios requiring integration with complex, non-standard APIs or systems that cannot be managed on a no-code platform. ## 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 databerry and AgentGPT? databerry: The no-code platform for building custom LLM Agents. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose databerry over AgentGPT? Choose databerry over AgentGPT when Tags unique to databerry: ai, aichatbot, chatbot, llm; When you have non-technical team members who need to craft and deploy specific AI chatbot functionalities; Leaner open-issue backlog (166). ### When should I choose AgentGPT over databerry? Choose AgentGPT over databerry when 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 databerry? If you are a seasoned developer looking for customizable control over agent functions beyond no-code capabilities. In scenarios requiring integration with complex, non-standard APIs or systems that cannot be managed on a no-code platform. ### 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 databerry or AgentGPT more popular on GitHub? AgentGPT has more GitHub stars (36,304 vs 2,965). Stars measure visibility, not whether either tool fits your constraints. ### Are databerry and AgentGPT open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to databerry or AgentGPT? GraphCanon lists graph-backed alternatives at [databerry alternatives](/tools/gmpetrov-databerry/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([databerry markdown twin](/tools/gmpetrov-databerry/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/gmpetrov-databerry-vs-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, databerry or AgentGPT? databerry: 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 databerry and AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [databerry trust report](/tools/gmpetrov-databerry/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=gmpetrov-databerry`](/api/graphcanon/graph?tool=gmpetrov-databerry) - 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/_