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CopilotKit

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Basic Information

CopilotKit is an open source developer toolkit and UI library for building and deploying in-app AI assistants, chatbots, and agent workflows. The repository provides a CLI to bootstrap projects, headless APIs for full control over agent state and messaging, and pre-built customizable React components for embedding assistants into web apps. It is framework-agnostic with explicit support for React, Next.js and integrations with agentic tooling such as LangGraph and the AG-UI protocol. The README highlights production-ready features like streaming support, human-in-the-loop approval patterns, and built-in prompt-injection protections. CopilotKit also links to cloud services, documentation, examples (form-filling, state machines, chat-with-your-data), and community channels to help teams integrate agentic capabilities into their applications quickly and securely.

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22445
App URL
https://github.com/CopilotKit/CopilotKit
Github Repository
https://github.com/CopilotKit/CopilotKit/blob/main/README.md

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App Details

Features
Includes a simple npx CLI to initialize projects, headless hooks such as useCopilotChat and useCoAgent for fine-grained control, and a set of deeply customizable pre-built UI components for popups and chat. Supports defining frontend actions with render/handler patterns and streaming intermediate agent state. Integrates with LangGraph and AG-UI for agent orchestration and state sharing. Provides human-in-the-loop renderAndWaitForResponse patterns for approvals and action confirmations. Emphasizes security with prompt injection protection and is distributed under an MIT license. The repo contains featured examples, docs, and examples demonstrating form filling, state machines, and data-aware chat interfaces.
Use Cases
CopilotKit reduces development time for teams that want to embed AI copilots inside products by supplying ready-made UI, headless APIs and developer workflows. It centralizes common agent patterns like state streaming, action handling, and human approvals so teams can focus on domain logic rather than plumbing. Framework-agnostic design and integrations with LangGraph and AG-UI make it easier to connect existing agent orchestration and state systems. Built-in security controls and production-ready components lower risk and implementation cost. Documentation, examples, community channels and optional cloud services provide onboarding paths and deployment options for both prototypes and production apps.

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