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open agent platform

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Basic Information

Open Agent Platform is a web-based, no-code system for creating, configuring, managing, and interacting with agents built on top of LangGraph. It provides a graphical interface that aims to make agent creation accessible to non-technical users while offering capabilities useful to developers. The platform lets users connect agents to Retrieval Augmented Generation backends, external tools via MCP servers, and orchestrate multiple agents through an Agent Supervisor. It includes built-in authentication and access control and exposes configurable agent UIs so owners can define how end users set agent parameters. The web app can operate without a separate backend if LangGraph deployments are added, but some features, like RAG, require a standalone LangConnect server.

Links

Stars
1530
App URL
https://github.com/langchain-ai/open-agent-platform
Github Repository
https://github.com/langchain-ai/open-agent-platform/blob/main/README.md

App Details

Features
The repository emphasizes an intuitive agent management interface for building, configuring, and interacting with LangGraph-based agents. It provides first-class RAG integration through LangConnect and support for connecting agents to external tools via MCP servers. An Agent Supervisor component enables orchestration of multiple collaborating agents. The platform includes configurable agents with a rich UI surface, built-in authentication and access control, and extensibility for swapping authentication providers. The README documents requirements for custom UI fields, noting LangGraph compatibility and the need for metadata and Zod-typed schemas for full configurability. The project includes documentation, a quickstart guide, and community support channels for issues and discussions.
Use Cases
The Open Agent Platform lowers the barrier to building and operating AI agents by offering a no-code web interface and managed workflows for LangGraph agents. Teams can rapidly assemble agents, attach retrieval and tool integrations, and supervise multi-agent workflows without writing backend services. Built-in authentication and configurable UIs simplify deployment and user configuration, while support for external MCP tools and RAG servers enables richer agent capabilities. The platform documents quickstart steps and operational notes so users can run the app with LangGraph deployments and separately host LangConnect when RAG is required. It also guides developers on extending auth and on schema/metadata requirements for custom agent configuration fields.

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