CopilotKit - AI Agent Frontend Stack
4.0The enterprise-ready frontend stack for agents. CopilotKit lets you integrate LLMs or agents with real-time context, UI control, and full flexibility.
About
CopilotKit is an enterprise-grade frontend agent stack designed to seamlessly blend AI with user workflows. It enables developers to integrate large language models or intelligent agents into existing applications with real-time context awareness, UI control, and highly flexible interaction. Whether you are building smart assistants, automation tools, or collaborative platforms, CopilotKit ensures AI is no longer an isolated "black box" but a reliable partner that works alongside your users.
Key Features
Pricing & Fees
- Pricing: CopilotKit offers a free Developer plan (forever, one developer), a Pro plan at $39/month, and a Team plan at $100/seat/month for up to 5 seats; an Enterprise tier with custom terms is also available.
- Free tier: The Developer plan is free forever and includes cloud hosting, Frontend SDKs, agentic backend connections, fully headless UI, 200 max threads, 3-day thread retention, 1 GB multimodal storage, and 500 total channels credits.
- Plan limits: Pro raises limits to 5,000 threads, 5-day retention, 10 GB storage, and 2,000 channels credits per month; Team goes further with 25,000 threads, 14-day retention, 100 GB storage, 2 Slack/Teams orgs, and 5,000 channels credits per month.
- Deployment options: The Developer and Pro plans support VPC or on-prem runtime-only deployment, while Team includes self-hosting with database and makes VPC/on-prem optional.
- Support: All listed plans include Discord community support and the CopilotKit Inspector tooling.
Who It's For
Frontend developers who want to add AI interaction to their apps without rearchitecting; product managers who need to embed AI features in a controlled, customizable way to improve user experience; enterprise architects seeking secure, scalable AI integration that meets compliance and performance requirements; AI engineers who want to expose model or agent capabilities directly to the user interface for more natural collaborative workflows; and startup teams looking to validate AI product prototypes at minimal cost and iterate quickly to production-grade applications.