CopilotKit

What is CopilotKit?

CopilotKit is an MIT-licensed toolkit for the user-facing side of agent products. Developers use it to add chat, agent-driven interfaces and generative UI to React, Angular and mobile apps, with shared state between the app and the agent and human-in-the-loop steps for approval. The same team created the AG-UI protocol, which standardizes how agents talk to interfaces. On top of the open-source SDK sits CopilotKit Intelligence, a platform that stores conversation threads and adds AG-UI Streams so users can reconnect and resume across devices, User Memory, Automatic Learning that turns real usage into reviewable skills, Product Analytics, and Channels for running the same agent in Slack or Microsoft Teams. You can run Intelligence as a cloud-hosted service with a project API key, or self-host it on Kubernetes or AWS. Every organization starts on the free Developer plan, and Pro, Team and Enterprise plans are listed without prices in the documentation.

Use cases

• Add an in-app copilot to a React app
• Render generative UI from agent output
• Let users resume agent conversations across devices
• Store user memories after a chat ends
• Run one agent in Slack or Microsoft Teams
• Track how people use an agent in a product

Who it's for

• Frontend developers
• Product engineers
• SaaS teams
• Agent builders

Why use CopilotKit

• The open-source SDK has no license fee, so you can build the in-app agent interface without buying a hosted product first.
• Your frontend, agent and model stay where they are; Intelligence adds storage and learning around them.
• Setup tabs cover TypeScript, Python, Go, Ruby and C#/.NET, so backends in several languages can connect.
• You can start on cloud-hosted Intelligence and move to self-hosted later, because both use the same app APIs.
• Existing LangGraph threads and Google ADK sessions can be imported once to bring earlier history over.

CopilotKit features

• Chat and generative UI components for React, Angular and mobile
• Shared state between the app and the agent
• Human-in-the-loop controls for approving agent actions
• AG-UI protocol for agent-to-interface communication
• AG-UI Streams so users can reconnect and resume threads
• User Memory that keeps facts about a person after a conversation
• Automatic Learning that turns usage into skills you can review and publish
• Product Analytics for agent usage
• Channels for Slack and Microsoft Teams
• Local Inspector to watch threads, learning and tool calls

CopilotKit integrations

• LangGraph
• Google ADK
• Slack
• Microsoft Teams
• Kubernetes
• AWS

How to get started with CopilotKit

1. Add the CopilotKit SDK to your app, or run the CLI to create a new one.
2. Sign in at intelligence.copilotkit.ai, create an organization and choose the Developer plan or a paid plan.
3. Create a project and let the quickstart write the project API key to your .env file.
4. Connect your runtime so conversations are saved as threads with an event timeline.
5. Turn on memory, learning, analytics or Slack and Teams channels as you need them.

CopilotKit limitations

• You still need your own agent, model and frontend; CopilotKit supplies the layer around them
• Usage limits apply on the free Developer plan
• Product Analytics is a limited trial on Developer, and the full version is part of Enterprise
• Self-hosting Intelligence needs a license key and your own Postgres, Redis and OIDC provider
• Runtimes other than TypeScript require Intelligence

CopilotKit pricing

Yes, CopilotKit has a free plan.

CopilotKit plans

• Developer

  Free

  • One seat
  • AG-UI Streams
  • User Memory
  • Automatic Learning
  • Limited trial of Product Analytics

• Pro

  Price on vendor site

  • For building out your app

• Team

  Price on vendor site

  • For when the whole team needs access
  • Self-hosted option

• Enterprise

  Custom

  • Full Product Analytics
  • Agents at scale
  • VPC, on-prem and data-residency deployments

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

CopilotKit alternatives

The main CopilotKit alternatives listed on Debuly are LangGraph, Mastra, OpenAI Agents SDK, Chainlit, Mem0 and Zep. The table compares pricing and platforms; order is A–Z.

1. 

   Chainlit

   Open-source Python framework for building chat interfaces for LLM apps, now archived and no longer maintained.

   Developer platformsCodingAutomation and agents
   Open sourceVisit Chainlit (official site)
2. 

   LangGraph

   Low-level open-source orchestration framework and runtime for building stateful, long-running AI agents as graphs.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit LangGraph (official site)
3. 

   Mastra

   Open source TypeScript framework for building AI agents and workflows, plus a hosted platform for Studio, Server, memory and observability.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit Mastra (official site)
4. 

   Mem0

   Memory layer for AI agents and apps, available as an open-source package or a managed platform that keeps user context across sessions.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Mem0 (official site)
5. 

   OpenAI Agents SDK

   Open-source Python framework for building multi-agent workflows with tools, handoffs, guardrails, tracing, sandboxes and voice agents.

   Developer platformsAutomation and agentsCoding
   Open sourceVisit OpenAI Agents SDK (official site)
6. 

   Zep

   Managed memory and context platform for AI agents, built on the Graphiti knowledge graph, with Python, TypeScript and Go SDKs.

   Developer platformsAutomation and agents
   FreemiumVisit Zep (official site)

CopilotKit FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from docs.copilotkit.ai · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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