
LangChain-based starter kit from BCG X for rapidly building constrained, high-quality agent applications with flexible UI components.
AgentKit is an open-source starter kit developed by BCG X on top of LangChain for building production-oriented agent applications quickly. It provides a full-stack template with a flexible UI, reliable agent architecture patterns, and examples for deploying constrained agents that integrate with enterprise workflows. The GitHub repository and LangChain launch blog remain the canonical references.
AI Agent Store research
BCG X AgentKit is a deprecated open-source full-stack starter kit for constrained, chat-based agent applications. It combined a FastAPI and LangChain backend with a Next.js interface, configurable action plans, authentication, queues, caching, monitoring, PostgreSQL, and Docker Compose.
Last reviewed August 9, 2026
A meta-agent selects from preconfigured action plans whose tools can run linearly or in parallel, limiting the routes available to an agent.[1]
The template includes a Next.js interface, FastAPI backend, LangChain configuration, authentication, queues, caching, monitoring, PostgreSQL with pgvector, and Docker Compose.[1]
Action-plan steps can stream intermediate data, documents, summaries, and visualizations into the chat interface.[1]
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