Haohao-end/openagent

What if OpenAI Deep Research and Dify were one platform? OpenAgent — harness architecture for rapidly building vertical AI agents, with deep reasoning loops, visual workflows, RAG, and A2A delegation.

What it solves

OpenAgent provides a comprehensive, full-stack platform for teams to build, manage, and deploy AI applications. Instead of relying on simple chat demos, it offers a structured environment for creating complex AI workflows, managing datasets, and publishing functional AI agents that can be accessed via standard web APIs.

How it works

The platform uses a Flask backend and a Vue 3 frontend to provide a visual workspace for AI development. Developers can design workflows using a drag-and-drop editor, connect datasets for retrieval-augmented generation (RAG), and configure agent behaviors. It leverages LangChain and LangGraph for orchestration, allowing agents to perform multi-step reasoning, execute code, and call external tools. Once built, applications can be published and accessed through a REST API that supports both standard and streaming responses.

Who it’s for

This project is designed for developers and teams who need a professional-grade platform to build, test, and operate AI agents. It is suitable for those who want to move beyond basic chatbot prototypes to create sophisticated, knowledge-enabled, and multi-step AI applications that can be integrated into other software via OpenAPI.

Highlights

  • Visual workflow editor with support for LLM nodes, tool calling, code execution, and branching logic.
  • Deep Research mode that decomposes complex tasks into multi-step execution chains.
  • Integrated dataset management for uploading documents and connecting them to agents for retrieval.
  • Full-stack workspace for version control, prompt comparison, and live debugging of agent traces.
  • Ready-to-use OpenAPI delivery for integrating published agents into external applications.
  • Support for a wide range of model providers including OpenAI, DeepSeek, and local models via Ollama.

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