Deploy Your Own Open Agent Platform
In this video, we show you how to deploy your own instance of Open Agent Platform (OAP) to production. This follows a previous video where we walked through how to use our managed instance of OAP.
Open Agent Platform is an open-source, citizen-developer platform designed enable you to build, prototype, and deploy intelligent agents effortlessly. With its intuitive web-based interface, OAP enables users to connect agents to various tools via MCP, Retrieval-Augmented Generation (RAG) servers, and orchestrate complex multi-agent workflows.
Covered in this walkthrough:
00:00 Intro
00:20 Open Agent Platform overview
01:07 Setting up the out-of-the-box Tools and Supervisor agent
05:26 Configuring collections with your own RAG server
06:29 Adding your own MCP server
07:31 Bringing it all together in the OAP UI
09:33 Adding your own custom agents
11:16 Outro
Whether you're a business analyst, product manager, or developer, OAP provides a streamlined pathway to harness the power of LangChain's LangGraph agents without the need for extensive coding knowledge.
Resources:
🌐 : Explore the platform: https://oap.langchain.com
📚: Documentation:
- OAP: https://docs.oap.langchain.com
- Custom MCP: https://docs.oap.langchain.com/setup/mcp-server
- Arcade MCP: https://docs.arcade.dev/home
🛠️ : GitHub Repositories:
- OAP: https://github.com/langchain-ai/open-agent-platform
- Tools ReAct Agent: https://github.com/langchain-ai/oap-langgraph-tools-agent
- Supervisor Agent: https://github.com/langchain-ai/oap-agent-supervisor
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Chapters (8)
Intro
0:20
Open Agent Platform overview
1:07
Setting up the out-of-the-box Tools and Supervisor agent
5:26
Configuring collections with your own RAG server
6:29
Adding your own MCP server
7:31
Bringing it all together in the OAP UI
9:33
Adding your own custom agents
11:16
Outro
🎓
Tutor Explanation
DeepCamp AI