--- title: "openagent vs FastGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/haohao-end-openagent-vs-labring-fastgpt" tools: ["haohao-end-openagent", "labring-fastgpt"] --- # openagent vs FastGPT *GraphCanon updated Sep 20, 2026* ## Verdict Pick openagent if openAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license; pick FastGPT if fastGPT is a knowledge-based platform for developing and deploying complex question-answering systems, offering out-of-the-box capabilities for data processing, RAG retrieval, and visual AI workflow orchestration. [openagent](https://openllm.cloud) reports 811 GitHub stars, 82 forks, and 49 open issues, last pushed Jul 17, 2026. [FastGPT](https://fastgpt.io) has 30k stars, 7.3k forks, and 170 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [openagent's repository](https://github.com/Haohao-end/openagent) and [FastGPT's repository](https://github.com/labring/FastGPT). | | [openagent](/tools/haohao-end-openagent.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Tagline | Harness architecture for rapidly building vertical AI agents | A knowledge-based platform for developing and deploying complex question-answering systems | | Stars | 811 | 29,690 | | Forks | 82 | 7,320 | | Open issues | 49 | 170 | | Language | Python | TypeScript | | Adopt for | OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. | FastGPT is a knowledge-based platform for developing and deploying complex question-answering systems, offering out-of-the-box capabilities for data processing, RAG retrieval, and visual AI workflow orchestration. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, Data & Retrieval, Vector Databases | AI Agents, Data & Retrieval, Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openagent](/tools/haohao-end-openagent.md) | [FastGPT](/tools/labring-fastgpt.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 64d | 0d | | Open issues (now) | 49 | 170 | | Stars delta | +19 (30d) | +324 (30d) | | Open issues delta | +3 (30d) | +5 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/haohao-end-openagent/trust.md) | [trust report](/tools/labring-fastgpt/trust.md) | ## Decision facts: openagent - **Adopt for:** OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. ## Decision facts: FastGPT - **Adopt for:** FastGPT is a knowledge-based platform for developing and deploying complex question-answering systems, offering out-of-the-box capabilities for data processing, RAG retrieval, and visual AI workflow orchestration. ## Choose when ### Choose openagent if… - openagent is primarily Python; FastGPT is TypeScript. - License: openagent is MIT, FastGPT is Other. - Tags unique to openagent: ai, celery, deepagents, deepresearch. - Also covers Vector Databases. - Need integration of OpenAI and Dify functionalities. ### Choose FastGPT if… - FastGPT is primarily TypeScript; openagent is Python. - License: FastGPT is Other, openagent is MIT. - Tags unique to FastGPT: claude, deepseek, llm, mcp. - Also covers Developer Tools, Model Training. - When you need a comprehensive platform that supports data processing, RAG retrieval, and visual AI workflow orchestration for developing complex question-answering systems. ## When NOT to use openagent - Projects requiring only basic AI functionality without deep reasoning loops or RAG. - Teams preferring non-Python environments for AI agent development. ## When NOT to use FastGPT - If you are looking for a platform that supports real-time AI plugin generation, as this feature is not yet available in FastGPT. - When you need a platform that supports RAG module hot updates or Agent-loop hot updates, as these features are currently under development. - If you require advanced debugging modes for complex workflows, as this feature is not yet implemented in FastGPT. ## Common questions ### What is the difference between openagent and FastGPT? openagent: Harness architecture for rapidly building vertical AI agents. FastGPT: A knowledge-based platform for developing and deploying complex question-answering systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose openagent over FastGPT? Choose openagent over FastGPT when openagent is primarily Python; FastGPT is TypeScript; License: openagent is MIT, FastGPT is Other; Tags unique to openagent: ai, celery, deepagents, deepresearch; Also covers Vector Databases; Need integration of OpenAI and Dify functionalities. ### When should I choose FastGPT over openagent? Choose FastGPT over openagent when FastGPT is primarily TypeScript; openagent is Python; License: FastGPT is Other, openagent is MIT; Tags unique to FastGPT: claude, deepseek, llm, mcp; Also covers Developer Tools, Model Training; When you need a comprehensive platform that supports data processing, RAG retrieval, and visual AI workflow orchestration for developing complex question-answering systems. ### When should I avoid openagent? Projects requiring only basic AI functionality without deep reasoning loops or RAG. Teams preferring non-Python environments for AI agent development. ### When should I avoid FastGPT? If you are looking for a platform that supports real-time AI plugin generation, as this feature is not yet available in FastGPT. When you need a platform that supports RAG module hot updates or Agent-loop hot updates, as these features are currently under development. If you require advanced debugging modes for complex workflows, as this feature is not yet implemented in FastGPT. ### Is openagent or FastGPT more popular on GitHub? FastGPT has more GitHub stars (29,690 vs 811). Stars measure visibility, not whether either tool fits your constraints. ### Are openagent and FastGPT open source? Yes - both are open-source projects on GitHub (openagent: MIT, FastGPT: Other). ### Where can I find alternatives to openagent or FastGPT? GraphCanon lists graph-backed alternatives at [openagent alternatives](/tools/haohao-end-openagent/alternatives) and [FastGPT alternatives](/tools/labring-fastgpt/alternatives) ([openagent markdown twin](/tools/haohao-end-openagent/alternatives.md), [FastGPT markdown twin](/tools/labring-fastgpt/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/haohao-end-openagent-vs-labring-fastgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, openagent or FastGPT? openagent: Steady. FastGPT: Very active. 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 openagent and FastGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openagent trust report](/tools/haohao-end-openagent/trust); [FastGPT trust report](/tools/labring-fastgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=haohao-end-openagent`](/api/graphcanon/graph?tool=haohao-end-openagent) - 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/_