AgentKit

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Category:AI Agent Development Frameworks

Overview

A LangChain-based starter kit developed by BCG X for rapidly building high-quality agent applications with a flexible UI and reliable architecture.

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Best For Professions:

software developers AI researchers product managers UX/UI designers system architects

AgentKit is an open-source starter kit developed by BCG X, the tech build and design unit of Boston Consulting Group. It leverages LangChain, FastAPI, and Next.js to enable developers to quickly build and experiment with agent applications. AgentKit offers a modular and easily configurable tech stack, including a React/Next.js chat-based UI designed for agents, featuring streaming, rendering of tables, visualizations, code, and status tracking of agent actions. The toolkit emphasizes reliability through an easy-to-configure routing architecture, allowing control over possible paths an agent can take, making it suitable for real-life use cases. Additionally, AgentKit is set up to scale to MVP with ready-made queue management, authentication, caching, and monitoring.

Autonomy level

43%

Reasoning: AgentKit employs a constrained architecture through predefined 'Action Plans' that limit agent decision-making to human-curated task trees rather than fully open-ended reasoning. While it features automatic routing between plans and integrates LangChain tools for basic automation, its design intentionally restricts free exploration (per BCG X docum...

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Some of the use cases of AgentKit:

Developers seeking to rapidly prototype and build agent applications with a user-friendly interface.
Teams aiming to create scalable, production-grade MVPs for agent-based systems.
Projects requiring a flexible and reactive UI/UX designed specifically for agent interactions.
Implementing reliable agent architectures with controlled routing and predefined action plans.

Pricing model:

free

Code access:

open-source

Popularity level: 67%