---
title: "openagent"
type: "tool"
slug: "haohao-end-openagent"
canonical_url: "https://www.graphcanon.com/tools/haohao-end-openagent"
github_url: "https://github.com/Haohao-end/openagent"
homepage_url: "https://openllm.cloud"
stars: 822
forks: 80
primary_language: "Python"
license: "MIT"
categories: ["ai-agents", "developer-tools"]
tags: ["flask", "docker", "tailwindcss", "celery", "langchain", "vue", "agent", "weaviate"]
updated_at: "2026-07-07T18:49:07.412172+00:00"
---

# openagent

> End-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications.

OpenAgent is a full-stack platform that combines Flask backend and Vue 3 frontend for creating AI agents. It supports visual workflows, datasets management, public app distribution, and OpenAPI delivery with deep reasoning loops.

## Facts

- Repository: https://github.com/Haohao-end/openagent
- Homepage: https://openllm.cloud
- Stars: 822 · Forks: 80 · Open issues: 45 · Watchers: 31
- Primary language: Python
- License: MIT
- Last pushed: 2026-06-24T14:46:13+00:00

## Categories

- [AI Agents](/categories/ai-agents.md)
- [Developer Tools](/categories/developer-tools.md)

## Tags

flask, docker, tailwindcss, celery, langchain, vue, agent, weaviate

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- [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,298)
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## README (excerpt)

```text
<a id="readme-top"></a>

<div align="center">
  <img src="https://github.com/user-attachments/assets/15024f52-cb4d-4222-bd8e-b7aa385a6f3e" alt="OpenAgent Logo" width="360" />

  <p align="center">
    An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications.
    <br />
    Flask + LangChain/LangGraph backend, Vue 3 workspace, visual workflows, datasets, tools, and OpenAPI delivery.
  </p>

  <p align="center">
    <strong>Sponsored by <a href="https://www.atlascloud.ai/?utm_source=github&utm_medium=link&utm_campaign=openagent">Atlas Cloud</a> and <a href="https://bloome.im/agent/join/j5CfmWJj?ref=uqIIEORd">Bloome</a></strong>
  </p>

  <p align="center">
    <a href="https://openllm.cloud">Visit Website</a>
    ·
    <a href="https://s.apifox.cn/c76bd530-fd50-429c-94cc-f0e41c2675d1/api-305434417">API Docs</a>
    ·
    <a href="README_ZH.md">中文文档</a>
    ·
    <a href="https://github.com/Haohao-end/openagent">GitHub</a>
  </p>

  <p align="center">
    <img src="https://img.shields.io/badge/python-3.11+-3776AB?logo=python&logoColor=white" alt="Python 3.11+" />
    <img src="https://img.shields.io/badge/flask-3.x-000000?logo=flask&logoColor=white" alt="Flask" />
    <img src="https://img.shields.io/badge/vue-3-4FC08D?logo=vue.js&logoColor=white" alt="Vue 3" />
    <img src="https://img.shields.io/badge/docker-compose-2496ED?logo=docker&logoColor=white" alt="Docker Compose" />
    <img src="https://img.shields.io/badge/weaviate-vector%20db-00C6A7" alt="Weaviate" />
    <a href="https://deepwiki.com/Haohao-end/openagent"><img src="https://deepwiki.com/badge.svg" alt="Ask DeepWiki" /></a>
  </p>
</div>

## Table of Contents

- [About The Project](#about-the-project)
- [Architecture](#architecture)
- [Built With](#built-with)
- [Getting Started](#getting-started)
- [Usage](#usage)
- [Testing](#testing)
- [Contact](#contact)
- [Acknowledgments](#acknowledgments)

## About The Project

<img width="2560" height="1418" alt="OpenAgent Product Overview" src="https://github.com/user-attachments/assets/0f8f7517-1622-46ea-9554-fb13af4841a1" />

OpenAgent is a full-stack platform for teams building AI applications rather than a single chat demo. The repository combines a Flask backend, Celery workers, a Vue 3 frontend, visual workflow authoring, dataset and document management, public app and workflow publishing, and OpenAPI-based delivery.

What the current codebase already supports:

- Use the home assistant to route user requests to published public agents through A2A, or turn natural-language requirements into new AI app creation flows.
- Build and manage AI apps from a dedicated workspace with draft, publish, analysis, version comparison, and prompt comparison flows.
- Enable Deep Research to let the app decompose complex tasks and coordinate bound capabilities across multi-step execution, suitable for scenarios requiring deep reasoning and concrete outputs.
- Design workflows visually with nodes for LLMs, tool calls, dataset retrieval, code execution, HTTP requests, branching, text processing, template transforms, and structured parameter extraction.
- Manage datasets, upload documents, inspect segments, and connect retrieval to agents and workflows.
- Browse public apps, tools, and workflows through store-style views.
- Expose published apps over REST and SSE through `POST /api/openapi/chat`.

## Architecture

<a href="https://github.com/user-attachments/assets/f6bdccf2-a6ff-4924-b68b-ec4d3581796e">
  <img src="https://github.com/user-attachments/assets/f6bdccf2-a6ff-4924-b68b-ec4d3581796e" alt="Basic chatbot architecture" width="100%" />
</a>

Click the diagram to view the full-resolution architecture image.

### Built With

- AI framework and orchestration: LangChain, LangGraph, workflow orchestration, tool calling, A2A delegation, skills, memory
- Knowledge and retrieval: RAG, semantic retrieval, full-text retrieval, hybrid retrieval, Weaviate, FAISS
- Backend: Python, Flask, SQLAlchemy
```

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/haohao-end-openagent`](/api/graphcanon/tools/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/_