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CopilotKit
Summary
Most UI component libraries stop at the chat box — your agent executes the task, then hands back a text string that your frontend has to render into something a user can actually act on. CopilotKit closes that gap by letting agents generate and surface interactive UI components directly inside your app, Slack workspace, or Teams channel.
The core model is a React and Angular SDK that connects your existing frontend to whatever agent backend you're already running — LangChain, CrewAI, or a custom setup — via the AG-UI protocol, a bi-directional event stream the vendor describes as 'the general-purpose connection between a user-facing application and any agentic backend.' Agents render rich UI cards, forms, and widgets inline as they work, not just text responses. Thread and state persistence is handled automatically across sessions. The friction point arrives when your deployment target isn't a web surface: Slack and Teams connections are flagged as early access, which means you're betting on a roadmap, not a shipping feature. Teams with strict approval gates before agent actions can wire those checkpoints in, but the docs describe this as a configuration responsibility rather than a built-in guardrail system.
Bottom line: Drop this into a React SaaS dashboard where your agent needs to render actionable cards instead of chat bubbles — but hold off on committing it as your Slack-first deployment if early-access stability is a concern your sprint can't absorb.
Pricing Plans
SubscriptionLast verified 2 days ago- Price
- $39/developer/month
- Free Tier
- one developer seat, 3 days thread retention, 200 max threads, 1 GB multimodal storage
DEVELOPER
Free forever one developer seat
- one developer seat
- 3 days thread retention
- 200 max threads
- 1 GB multimodal storage
- Discord Community support
PRO
Small projects up to 5 seats
- up to 5 seats
- 5 days thread retention
- 5,000 max threads
- 10 GB multimodal storage
- Dedicated Slack Support
TEAM
Growing teams 5 seats included
- 5 seats included
- 14 days thread retention
- 25,000 max threads
- 100 GB multimodal storage
- Dedicated Engineering Support
- Service Level Agreement (SLA)
- Priority Bug Fixes
- Prioritized Roadmap Input
ENTERPRISE
Scale deployments custom tailored pricing
- custom terms
- unlimited max threads
- custom thread retention
- contact us for multimodal storage
- VPC or On-Prem deployment
- Dedicated Engineering Support
- Service Level Agreement (SLA)
View full pricing on copilotkit.ai →
Pricing may have changed since last verified. Check the official site for current plans.
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Pros
Sign in to edit- Agent-rendered interactive UI components inside your existing app, so users can act on agent outputs directly rather than copying text into separate workflows.
- AG-UI protocol creates a bi-directional connection between your frontend and any agent backend, which means swapping LangChain for CrewAI — or adding a second framework — doesn't require rebuilding the UI integration layer.
- Automatic thread and state persistence across sessions, so users don't lose context when they close and reopen the app — a failure mode that breaks trust fast in production copilot features.
- MIT-licensed core with a self-hosted option, so teams with data residency or air-gap requirements can deploy without routing traffic through vendor infrastructure.
- First-party integrations with LangChain, CrewAI, and other established agent frameworks, which means you wire CopilotKit into an agent stack you already trust rather than migrating to a proprietary runtime.
Cons
Sign in to edit- Slack and Teams deployment surfaces are flagged as early access on the vendor page — if your product requires agents embedded in those platforms as a shipping feature, you are taking on roadmap risk, and teams with a hard Slack-first requirement will reach for a dedicated bot framework instead.
- The Enterprise Intelligence Platform features are paid-only with limited public documentation on what they cover, so you discover the billing boundary during scoping rather than before it — teams building toward production without a clear feature inventory hit this when they need capabilities that aren't in the MIT core.
- The framework is front-end SDK-first, which means backend agent logic, guardrails, and approval flows are your responsibility to wire — teams that need a managed agent runtime with built-in policy controls will find CopilotKit solves the UI layer but leaves the safety layer to them, and will likely add a separate orchestration service alongside it.
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About
- Platforms
- React, Angular, Mobile, Slack, and Teams
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-06-09T05:44:25.374Z
Best For
Who it's for
- React and Angular developers building in-app AI features
- Teams needing production-ready agentic UI components
- Enterprises requiring multi-platform agent deployment (web, mobile, Slack, Teams)
- Developers using LangChain, CrewAI, or other agent frameworks
- SaaS builders adding generative UI to existing applications
What it does well
- Embedding AI copilots into SaaS dashboards and productivity tools
- Building multi-agent systems with generative UI across web and mobile
- Creating in-app AI agents for CRM, project management, and collaboration tools
- Deploying agents to Slack and Teams workspaces
- Building AI-powered workflows with human-in-the-loop approval processes
Integrations
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Frequently Asked Questions
- Is CopilotKit free?
- CopilotKit is a paid tool ($39/developer/month). No permanent free tier is offered.
- Is CopilotKit open source?
- Yes. CopilotKit is open source.
- Does CopilotKit have an API?
- Yes. CopilotKit exposes a developer API. See the official documentation at https://copilotkit.ai for details.
- Can I self-host CopilotKit?
- Yes. CopilotKit supports self-hosting on your own infrastructure.
- When was CopilotKit released?
- CopilotKit was first released in 2023.
- What platforms does CopilotKit support?
- CopilotKit is available on: React, Angular, Mobile, Slack, and Teams.
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Curated lists that include this category
CopilotKit is an open-source frontend SDK stack for embedding agents that generate UI directly inside web apps, Slack, and Teams. The core workflow starts with a single CLI command against your existing app, connects your chosen agent framework through the AG-UI protocol, and surfaces agent outputs as interactive components — not raw text — wherever your users already work. The vendor describes the MIT-licensed core as the entry point, with an Enterprise Intelligence Platform layer available as a paid add-on for production-scale features.
The differentiating capability is the AG-UI protocol itself. Rather than treating the agent backend and the frontend as separate concerns that communicate through a chat API, AG-UI creates a bi-directional event stream so the agent can render, update, and respond to UI state in real time. The vendor states CopilotKit is the company behind this protocol, and first-party integrations cover LangChain, CrewAI, and other major agent frameworks. This matters in practice: when an agent completes a subtask, it can push a rendered flight card, a form, or a status widget inline — the user interacts with it, and the agent receives that interaction as structured input rather than a free-text reply.
CopilotKit fits teams who are already building in React or Angular and want to add agent-driven UI without rebuilding their frontend architecture. The GitHub repository shows active development, and the vendor cites Fortune 500 and Global 50 adoption. The ceiling appears when you need Slack or Teams as primary deployment surfaces — both are flagged as early access on the vendor page, which is a meaningful qualifier for production commitments. Teams that need deep, stable bot integrations on those platforms before the early-access window closes will evaluate purpose-built Slack/Teams agent frameworks instead.
The self-hosted path is available given the MIT core, which matters for enterprises with data residency requirements. The `npx copilotkit@latest create` scaffolding is the documented starting point. The Enterprise Intelligence Platform features — described on the vendor page as premium additions beyond the open-source core — are paid-only and not enumerated in detail in public documentation, so scoping what you need before hitting that tier boundary is worth doing early.