---
title: "openchat vs FastGPT"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/imoneoi-openchat-vs-labring-fastgpt"
tools: ["imoneoi-openchat", "labring-fastgpt"]
---

# openchat vs FastGPT

Neutral, constraint-first comparison with live GitHub stats.

| | [openchat](/tools/imoneoi-openchat.md) | [FastGPT](/tools/labring-fastgpt.md) |
| --- | --- | --- |
| Tagline | Advancing Open-source Language Models with Mixed-Quality Data | FastGPT是AI Agent构建平台，提供开箱即用的数据处理和模型调用等能力 |
| Stars | 5,483 | 28,869 |
| Forks | 432 | 7,207 |
| Open issues | 136 | 153 |
| Language | Python | TypeScript |
| Adopt for | OpenChat is a library of open-source language models that are fine-tuned using the C-RLFT strategy, leveraging mixed-quality data to achieve performance comparable to ChatGPT with lower resource requirements. | FastGPT是一个基于大型语言模型的知识型平台，提供数据处理、RAG检索和视觉AI工作流程编排功能。它特别适合需要集成复杂对话系统且要求快速部署和配置的研发团队，但可能不适合那些偏好完全自定义开发环境或具有特殊技术需求的用户。 |
| Persona | - | - |
| Runtime | - | - |
| License | OpenChat offers a permissive Apache-2.0 license, allowing for free use, modification, and distribution of the software. | Other |
| Categories | LLM Frameworks, Model Training | AI Agents, LLM Frameworks |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [openchat](/tools/imoneoi-openchat.md) | [FastGPT](/tools/labring-fastgpt.md) |
| --- | --- | --- |
| Maintenance | Dormant (18%) | Very active (96%) |
| Days since push | 664d | 0d |
| Open issues (now) | 136 | 153 |
| Owner type | User | Organization |
| Security scan | No lockfile | No MCP manifest |
| Full report | [trust report](/tools/imoneoi-openchat/trust.md) | [trust report](/tools/labring-fastgpt/trust.md) |

**Typed relationship:** openchat _(alternative)_ FastGPT

FastGPT is another platform for building AI agents which provides capabilities similar to what OpenChat offers, making them an alternative depending on specific feature needs of the user.

## Decision facts: openchat

- **Requirements:** Min 16 GB RAM; Requires at least an RTX 3090 GPU or equivalent to run efficiently.
- **Adopt for:** OpenChat is a library of open-source language models that are fine-tuned using the C-RLFT strategy, leveraging mixed-quality data to achieve performance comparable to ChatGPT with lower resource requirements.
- **License detail:** OpenChat offers a permissive Apache-2.0 license, allowing for free use, modification, and distribution of the software.

## Decision facts: FastGPT

- **Adopt for:** FastGPT是一个基于大型语言模型的知识型平台，提供数据处理、RAG检索和视觉AI工作流程编排功能。它特别适合需要集成复杂对话系统且要求快速部署和配置的研发团队，但可能不适合那些偏好完全自定义开发环境或具有特殊技术需求的用户。

## Choose when

### Choose openchat if…

- openchat is primarily Python; FastGPT is TypeScript.
- License: openchat is Apache-2.0, FastGPT is Other.
- Requirements: Min 16 GB RAM; Requires at least an RTX 3090 GPU or equivalent to run efficiently..
- FastGPT is another platform for building AI agents which provides capabilities similar to what OpenChat offers, making them an alternative depending on specific feature needs of the user.
- Tags unique to openchat: large-language-models, transformers, open-source.
- Also covers Model Training.
- When you need high-performance language model capabilities similar to those offered by ChatGPT but require solutions running on consumer-grade GPU hardware (e.g., RTX 3090).

### Choose FastGPT if…

- FastGPT is primarily TypeScript; openchat is Python.
- License: FastGPT is Other, openchat is Apache-2.0.
- FastGPT is another platform for building AI agents which provides capabilities similar to what OpenChat offers, making them an alternative depending on specific feature needs of the user.
- Tags unique to FastGPT: qwen, deepseek, llm, openai.
- Also covers AI Agents.
- - 快速搭建复杂的问答系统：FastGPT提供了开箱即用的数据处理、RAG检索功能，使得开发者能够更容易地实现知识型复杂应用场景。
- 流程编排可视化：通过Flow进行工作流编排，这有助于轻松处理用户交互和对话流程的设计，适合需要复杂场景的企业。
- 支持多样的知识库格式：FastGPT支持多种文件类型的导入及混合检索功能，使得集成现有知识更加容易。

## When NOT to use openchat

- If you absolutely require the most up-to-date or cutting-edge features that only proprietary tools may provide.
- When your project's success depends on very specific data quality, as OpenChat utilizes mixed-quality data in its training process.

## When NOT to use FastGPT

- - 对完全定制化开发环境有需求的场景：若用户希望从头开始或者高度自定义其应用流程，FastGPT提供的预设结构可能会造成一定的限制。
- 无云服务需求的超大型部署：如果是想要进行大规模部署而不需要依赖云计算资源的情况，则可能需要考虑能够更好地支持私有化定制和扩展解决方案的产品。
- 高级调试需求未完全覆盖：虽然提供了基础的应用调试能力，但一些高级功能（如复杂编排模式下的调试、节点日志）尚未实现。

## Common questions

### What is the difference between openchat and FastGPT?

openchat: Advancing Open-source Language Models with Mixed-Quality Data. FastGPT: FastGPT是AI Agent构建平台，提供开箱即用的数据处理和模型调用等能力. See the comparison table for live GitHub stats and shared categories.

### When should I choose openchat over FastGPT?

Choose openchat over FastGPT when openchat is primarily Python; FastGPT is TypeScript; License: openchat is Apache-2.0, FastGPT is Other; Requirements: Min 16 GB RAM; Requires at least an RTX 3090 GPU or equivalent to run efficiently.; FastGPT is another platform for building AI agents which provides capabilities similar to what OpenChat offers, making them an alternative depending on specific feature needs of the user; Tags unique to openchat: large-language-models, transformers, open-source; Also covers Model Training; When you need high-performance language model capabilities similar to those offered by ChatGPT but require solutions running on consumer-grade GPU hardware (e.g., RTX 3090).

### When should I choose FastGPT over openchat?

Choose FastGPT over openchat when FastGPT is primarily TypeScript; openchat is Python; License: FastGPT is Other, openchat is Apache-2.0; FastGPT is another platform for building AI agents which provides capabilities similar to what OpenChat offers, making them an alternative depending on specific feature needs of the user; Tags unique to FastGPT: qwen, deepseek, llm, openai; Also covers AI Agents; - 快速搭建复杂的问答系统：FastGPT提供了开箱即用的数据处理、RAG检索功能，使得开发者能够更容易地实现知识型复杂应用场景。
- 流程编排可视化：通过Flow进行工作流编排，这有助于轻松处理用户交互和对话流程的设计，适合需要复杂场景的企业。
- 支持多样的知识库格式：FastGPT支持多种文件类型的导入及混合检索功能，使得集成现有知识更加容易。.

### When should I avoid openchat?

If you absolutely require the most up-to-date or cutting-edge features that only proprietary tools may provide. When your project's success depends on very specific data quality, as OpenChat utilizes mixed-quality data in its training process.

### When should I avoid FastGPT?

- 对完全定制化开发环境有需求的场景：若用户希望从头开始或者高度自定义其应用流程，FastGPT提供的预设结构可能会造成一定的限制。
- 无云服务需求的超大型部署：如果是想要进行大规模部署而不需要依赖云计算资源的情况，则可能需要考虑能够更好地支持私有化定制和扩展解决方案的产品。
- 高级调试需求未完全覆盖：虽然提供了基础的应用调试能力，但一些高级功能（如复杂编排模式下的调试、节点日志）尚未实现。

### Is openchat or FastGPT more popular on GitHub?

FastGPT has more GitHub stars (28,869 vs 5,483). Stars measure visibility, not whether either tool fits your constraints.

### Are openchat and FastGPT open source?

Yes - both are open-source projects on GitHub (openchat: Apache-2.0, FastGPT: Other).

### Where can I find alternatives to openchat or FastGPT?

GraphCanon lists graph-backed alternatives at /tools/imoneoi-openchat/alternatives and /tools/labring-fastgpt/alternatives (/tools/imoneoi-openchat/alternatives.md, /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 /compare/imoneoi-openchat-vs-labring-fastgpt.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, openchat or FastGPT?

openchat: Dormant. 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 openchat and FastGPT?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openchat: /tools/imoneoi-openchat/trust; FastGPT: /tools/labring-fastgpt/trust.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=imoneoi-openchat`](/api/graphcanon/graph?tool=imoneoi-openchat)
- 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/_
