Openagent

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.



<strong>Sponsored by Atlas Cloud and Bloome</strong>



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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, Celery, Flask-SocketIO, Redis, PostgreSQL
• Frontend: Vue 3, JavaScript / TypeScript, Vite, TailwindCSS, Pinia, Vue Flow, Arco Design
• Infrastructure and delivery: Docker Compose, Nginx, OpenAPI, SSE
• Model integrations: OpenAI, Atlas Cloud, DeepSeek, Grok, Google, Moonshot, Tongyi, Wenxin, Ollama, Zhipu

Sponsored By

Atlas Cloud

• Atlas Cloud is a model provider on OpenRouter. Integrate it in this project via ATLASCLOUD_API_KEY and ATLASCLOUD_API_BASE.
• Official website: Atlas Cloud
• Integration docs: https://www.atlascloud.ai/docs

Bloome

• Bloome is an AI-agent IM platform where you can interact with AI agents and build collaborative communities. Official website: Bloome

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Getting Started

Prerequisites

• Docker 20.10+
• Docker Compose 2.x
• 8 GB+ RAM recommended for the full stack
• Access to at least one supported model provider API key