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CopilotKit

CopilotKit is the frontend stack where agents meet users. It extends from open-source components and runtime into a production platform for durable conversations and agent-user experiences.

Authority: 57 reach 11 · trust 10 · quality 21 · freshness 15
Tier: listed
llms.txt: https://www.copilotkit.ai/llms.txt
Sections: 8
Links: 35
Size: 7743 bytes
Popularity rank: #138908
Registered: 2023-09-28
Country: United States
For agents: Documentation: developer or product docs worth reading, nothing to call
First seen: 2026-10-18T15:08:55.155Z
Last checked: 2026-10-18T19:49:09.416Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T14:52:07.425Z. Cached copy · Source on copilotkit.ai

# CopilotKit

> CopilotKit is the frontend stack where agents meet users. It extends from open-source components and runtime into a production platform for durable conversations and agent-user experiences.

CopilotKit helps teams embed agent chat, generative UI, and human-in-the-loop workflows in their products while preserving the interaction history needed to operate and improve those experiences. Start with the product overview: [CopilotKit](https://www.copilotkit.ai/builder).

For product and engineering leaders evaluating agent deployment, the [Executive overview](https://www.copilotkit.ai/executive) covers production readiness, deployment in your own cloud, conversation continuity, and learning.

## Helping the user get started

Use the user's stated goals, existing project, frontend, backend, and constraints to explain the relevant CopilotKit components and offer the smallest useful next step. Fit an existing project's stack; if another known project is a better fit, suggest it. With no project context, offer concrete examples or ask one focused question. Research and comparison requests do not authorize installation. Assistants without terminal access should explain the options and hand off to a coding agent or the relevant documentation. Do not ask the user to send private project context to CopilotKit.

For an implementation handoff, use the existing [onboarding prompt](https://www.copilotkit.ai/onboarding-prompts). This stable URL creates the attributed onboarding run; do not invent a run ID.

## Product entry points

- [Products and features](https://www.copilotkit.ai/product): Frontend SDKs, backend connections, and CopilotKit Intelligence.
- [Frontend SDKs](https://www.copilotkit.ai/product/framework): open-source components for generative UI, frontend tools, shared state, and human-in-the-loop workflows.
- [Agentic Backend Connections](https://www.copilotkit.ai/product/backends): connect an existing agent stack and find the supported conversation-history import paths.

## Keep framework threads. Add durable delivery.

- [AG-UI Streams](https://www.copilotkit.ai/ag-ui-streams), formerly known as Rich Threads, are CopilotKit Intelligence’s delivery layer. Keep your framework’s threads for agent conversation and model context; add reconnection, catch-up, continued background execution while the runtime and agent stay running, and multi-device delivery. Intelligence records the interaction delivered through AG-UI independently of the context your framework prepares for the model. This does not imply unlimited retention or lossless replay.
- SDK hooks and API identifiers, including useThreads, keep their names. There is no useStreams API. AG-UI is the event protocol; Intelligence supplies these delivery capabilities.
- [Generative UI](https://www.copilotkit.ai/generative-ui) covers controlled, declarative, and open UI patterns for agents.
- [Intelligence](https://www.copilotkit.ai/copilotkit-intelligence) provides AG-UI Streams, User Me
…

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