openagent
Haohao-end/openagent
End-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications.
Overview
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.
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Install
pip install openagentREADME
An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications.
Flask + LangChain/LangGraph backend, Vue 3 workspace, visual workflows, datasets, tools, and OpenAPI delivery.
Sponsored by Atlas Cloud and Bloome
Visit Website · API Docs · 中文文档 · GitHub
Table of Contents
- About The Project
- Architecture
- Built With
- Getting Started
- Usage
- Testing
- Contact
- Acknowledgments
About The Project
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
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