#835 · Primary category: AI Agents & Automation

openagent

agent ai celery deepagents deepresearch deepseek docker faiss-vector-database flask harness-engineering langchain langgraph llmops mcp nginx postgresql skills tailwindcss vue weaviate

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.

Project last updated:07/17/26

GitHub Stars

799

Forks

81

Contributors

3

License

MIT

Why we included this project

OpenAgent is aimed at teams that want to build vertical AI agents without wiring together a stack of separate services. It is a full-stack platform: a Flask and LangGraph backend, a Vue workspace for authoring visual workflows, dataset and retrieval wiring, tool and MCP skill bindings, and OpenAPI-based publishing for finished apps. The deep-research mode handles multi-step reasoning tasks that need concrete outputs, and A2A delegation lets one published agent hand work off to another. It is a heavier setup than a single-agent library, but teams building something like an internal Dify-style platform get the operational pieces, including versioning and debugging panels, that most agent frameworks leave out.

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