CopilotKit — Build production chat, generative UI & shared state with CopilotKit. Best for Developers building production chatbot UIs with generative UI, Teams using LangGraph, Mastra, or other agent frameworks who need a frontend, Projects requiring shared state and human-in-the-loop between agents and users. Free to use.
Developers building production chatbot UIs with generative UITeams using LangGraph, Mastra, or other agent frameworks who need a frontendProjects requiring shared state and human-in-the-loop between agents and usersCustom agent interfaces with headless UI or embedded chatMulti-agent systems needing thread management and agent context
Not ideal for
No-code/low-code platforms needing a hosted agent builderSimple FAQ bots without generative UI or complex stateTeams preferring a fully managed backend service over a frontend stackProjects that require extensive mobile support (React Native is listed but early)Use cases demanding minimal vendor dependency or pure open-source without premium tiers
CopilotKit is the go-to for teams wanting to build agentic UIs without reinventing the wheel. Its broad backend support and generative UI capabilities set it apart from chat-only toolkits. If you're already using LangGraph or similar frameworks, this is a no-brainer.
CopilotKit stands out as a frontend stack designed specifically for agentic workflows. Its key strength is the ability to drop in chat components, use headless UI, or let agents render React components—all while connecting to any AG-UI compatible backend. This flexibility is invaluable for teams experimenting with different agent frameworks.
When to pick this: You're building a product that requires conversational AI, generative UI, or human-in-the-loop interactions. You want to avoid vendor lock-in and prefer to work with LangGraph, Mastra, or even Microsoft's Agent Framework. You need shared state, threads, and agent context out of the box.
When to pass: You need a fully hosted, no-code agent builder. You're building a simple FAQ bot that doesn't need generative UI or complex state. You're on a tight deadline and prefer a managed service over a frontend stack you configure yourself.
Comparison to closest alternative: Compared to ChatUI or plain React SDKs, CopilotKit offers much more: generative UI, built-in agent server tools, and a runtime that handles threads and state. It's more opinionated than a generic UI library but less coupled to a single backend than Vercel AI SDK.
Real-world usage caveats: The documentation mentions 'Migrate to V2' and 'Common Copilot Issues', so expect a learning curve and potential breaking changes. Performance with complex generative UI may need optimization. You'll need to self-host for production unless you use premium self-hosting.
Skip CopilotKit if Skip CopilotKit if you're not building with React, or if you only need a simple chatbot without generative UI or human-in-the-loop workflows.
Latest from CopilotKit
Updated today
Across the latest 6 updates: 4 feature updates, 1 launch and 1 changelog entry.
How likely is CopilotKit to still be operational in 12 months? Based on 6 signals including wrapper dependency, GitHub traction, pricing model, and category risk.
funding runway
80
website health
90
github activity
50
category mortality
70
wrapper dependency
100
hyperscaler overlap
80
About CopilotKit
CopilotKit is the frontend stack for agentic user experiences. It provides a complete set of UI primitives—chat components (CopilotChat, CopilotSidebar, CopilotPopup), headless UI for custom surfaces, and generative UI that lets agents render real React components. CopilotKit works with any backend that speaks AG-UI, including its built-in agent, LangGraph (Python/TypeScript), Google ADK, AWS Strands, Mastra, PydanticAI, MS Agent Framework, AG2, Agno, LlamaIndex, and CrewAI. The platform supports shared state, human-in-the-loop workflows, threads, agent context, and tool rendering. It also offers premium features like Self-Hosting and Intelligence. CopilotKit is designed for teams building production-grade agent interfaces, with a focus on developer experience and framework-agnostic integration. Compared to single-vendor solutions, CopilotKit's open-backend approach allows you to connect any compatible agent while providing a polished, customizable frontend.
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Generative UI – agents render real React components
Shared state between agent and UI
Human-in-the-loop workflows
Threads and agent context management
Built-in agent server tools and MCP servers
Support for multiple backends (LangGraph, Google ADK, etc.)
AG-UI protocol for backend agnosticism
Copilot Runtime with Factory Mode
Inspector and debugging tools
Anonymous telemetry for analytics
Real-world workflow fit
Concrete scenarios for the personas CopilotKit actually fits — and what changes day-one when you adopt it.
React developer at a SaaS startup
You want to add a 'Chat with your dashboard' sidebar that lets users ask questions and execute actions (filter, export, create) on behalf of the user.
Outcome: Ship a working chat sidebar in one sprint using CopilotKit's prebuilt CopilotSidebar component and useFrontendTool hook to wire UI actions.
Product builder at a design tool company
You're building a whiteboard app where an AI agent can add sticky notes, draw shapes, and reorganize elements based on natural language commands.
Outcome: Use CopilotKit's generative UI to render agent tools as React components, allowing the agent to directly manipulate the canvas in real time.
Agent platform engineer
You maintain a multi-agent system (LangGraph + Google ADK) and need a unified frontend that can switch between agents without rewriting UI code.
Outcome: Integrate CopilotKit's runtime with AG-UI adapters for both backends; the frontend remains unchanged while agents can be swapped via configuration.
Use Cases
Add a 'Chat with your dashboard' sidebar to a SaaS admin panel.
Ship inline text autocomplete powered by an LLM in your editor product.
Build an assistant that can execute UI actions (filter, export, create) on behalf of the user.
Create a canvas-style whiteboard app where an agent adds and manipulates widgets in real time.
Models Under the Hood
GPT-5.5 (via cloud proxy or API key)Claude Opus 4.7 (via cloud proxy or API key)Gemini 2.5 Pro (via cloud proxy or API key)Llama 3.3 70B (via self-hosted)Any model supported by connected agent backend (LangGraph, Mastra, etc.)
Limitations
React-only — no first-class Vue or Svelte support. The cloud tier is newer and less mature than the OSS layer. Complex agent workflows (multi-step planning, browsing, code execution) are not CopilotKit's strength — it is primarily an in-app chat layer. Usage-based cloud pricing can be unpredictable for high-volume use cases.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
—
—
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published CopilotKit tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source
Free
Ideal for
Solo developer or small team prototyping agentic UIs with full control over LLM connections and self-hosting.
What this tier adds
Free entry point with all React components, self-hosted LLM connection, and all actions; no cloud features.
Cloud
Usage-based
Ideal for
Teams needing hosted LLM proxy, observability, guardrails, and analytics without managing infrastructure.
What this tier adds
Adds usage-based pricing for hosted LLM proxy, observability, guardrails, and analytics; extends the open-source capabilities.
What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.
•Cloud tier charges per usage (LLM proxy calls, guardrails) — no fixed monthly cap published
•Self-hosting requires managing your own runtime and agent backend infrastructure
•Enterprise features (threads, persistence, observability) require the Intelligence Platform (contact sales)
Where the pricing makes sense
The company stage and team size where CopilotKit's pricing actually pencils out — and where peers do it cheaper.
CopilotKit's Open Source tier is free and includes all React components and self-hosted LLM connections — great for solo devs and small teams prototyping. The Cloud tier adds usage-based pricing for hosted LLM proxy, observability, and guardrails. For larger deployments, contact sales for enterprise. Compared to closed-source platforms like Intercom or Zendesk AI, CopilotKit gives you more control at lower starting cost, but usage-based costs can escalate.
Setup time & first value
How long it actually takes to get something useful out of CopilotKit — broken out by persona, not the marketing-page minute.
A React developer can get a basic chat UI working in ~10 minutes using the quickstart with Built-in Agent. Adding generative UI or human-in-the-loop may take an additional hour. For multi-agent setups with custom backends, expect a day or two for integration, depending on familiarity with AG-UI.
Switching to or from CopilotKit
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
→From custom chat UI: replace your custom WebSocket/SSE handler with CopilotKit's runtime and useAgent hook; reuse existing agent backends via AG-UI adapter.
→From LangChain frontend: swap out LangChain's streaming logic for CopilotKit's prebuilt components and headless hooks; keep LangGraph backend via the provided adapter.
Migrating out
↗To LangChain frontend: if you need a framework-agnostic frontend, migrate to LangChain's JavaScript client; CopilotKit's React hooks can be replaced with plain fetch/SSE.
↗To a custom chat UI: remove CopilotKit imports and manage AG-UI events directly with your own React components; you'll need to re-implement generative UI rendering.
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
•2026-05-06: CopilotKit raised $27M to advance the Agentic FrontEnd stack (Hacker News).
•2026-01-22: LangGraph Deep Agents now compatible; Full MCP Apps support added.
•2025-12-15: CopilotKit v1.50 released with redesigned interfaces, A2UI/Open-JSON-UI/MCP Apps specs, and A2A/MCP handshakes.
•2025-12-15: CopilotKit launched as A2UI launch partner with Google.
