Caution
This repository has been deprecated.
We recommend using Agent Builder on LangSmith instead. Agent Builder provides a fully managed, no-code experience for creating, testing, and deploying agents — no self-hosting required.
MCP.Pizza Chef: langchain-ai
This project offers a visual web dashboard where anyone can create, configure, and chat with custom AI agents, connect those agents to outside tools through the Model Context Protocol, and even have several agents collaborate on one task. Using it requires setting up hosting for your agents and supplying an API key for an AI model such as OpenAI, Claude, or Gemini. Note that the creators have discontinued this project and now point new users toward a hosted alternative called Agent Builder.
Archived · The author made this repository read-only on GitHub.
Coding
Data
Use This MCP client To
Build a custom AI agent without writing any code Connect an agent to my team's tools and files Have several agents work together on one task Search my own documents for more accurate answers Control exactly who can access and use each agent Customize the questions and settings my agent supports
README
open-agent-platform FAQ
Can I use this to build a customer-support chatbot without any coding?
Yes — you can create and configure an agent through the visual interface, connect it to your own documents for answers, and publish it for others to use, all without writing code.
Can I connect this to my own files so my agent gives more accurate answers?
Yes — the built-in retrieval feature, called RAG, lets your agent search through documents you upload before it answers a question.
Is this still being actively developed and supported?
No — the creators have discontinued Open Agent Platform and now recommend Agent Builder, a newer hosted alternative on LangSmith, for anyone getting started today.
Does this work inside apps I already use, like Claude Desktop or ChatGPT?
No — Open Agent Platform is a separate, self-hosted web application rather than a plug-in for existing chat apps such as Claude Desktop, ChatGPT, or Gemini.
Do I need an account or an API key to use it?
Yes — you'll need a hosting setup for your agents (a LangGraph deployment) and an API key for whichever AI model you choose to power them, such as OpenAI, Claude, or Gemini.
How difficult is it to set up?
It is best suited to someone comfortable with technical setup, since it requires deploying and hosting the platform yourself rather than clicking a single install button.
Can multiple agents work together on the same task?
Yes — a feature called Agent Supervisor lets you connect several agents so they can coordinate and hand off work to one another.
Can I limit who is allowed to see or use an agent I build?
Yes — built-in authentication and access controls let you decide who can view, configure, or run each agent.