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 full-stack platform for teams to build, orchestrate, and operate AI applications. It moves beyond simple chat demos by offering a professional workspace for managing the entire lifecycle of an AI app, from visual workflow design and dataset management to publishing and API delivery.
How it works
The platform uses a Flask backend with Celery workers and a Vue 3 frontend. It integrates LangChain and LangGraph for AI orchestration and supports a wide variety of model providers (including OpenAI, DeepSeek, and Ollama). Users can design logic using a visual node-based workflow editor, manage knowledge via RAG (using Weaviate or FAISS), and deploy their apps as REST/SSE APIs via an OpenAPI delivery system.
Who it’s for
It is designed for teams and developers who need to build complex, production-ready AI applications that require multi-step reasoning, custom tool integration, and structured knowledge retrieval.
Highlights
- Visual Workflow Editor: Design AI logic using nodes for LLMs, tool calls, code execution, HTTP requests, and branching.
- Deep Research Mode: Enables apps to decompose complex tasks into multiple steps and coordinate capabilities for deep reasoning.
- Integrated Knowledge Base: Tools for uploading documents, managing datasets, and connecting semantic retrieval to agents.
- App Workspace: A dedicated environment for prompt comparison, version management, and live debugging with execution traces.
- OpenAPI Delivery: Ability to expose published AI apps as scalable APIs for external integration.