The Enterprise Agentic Frontend Stack. Build rich agentic applications that learn from every interaction. Self-hostable and built to scale with your org.
Trusted by the majority of the Fortune 500s and Global 50.
Works with the agent stacks your teams already use.
Use cases & templates
Start from a real agent experience, then make every interaction look and feel like your product.
Company knowledge base
Connect the sources your company already trusts. Give every employee one agent that can answer with citations, analyze across systems, and prepare the next action.
Who should we follow up with first? Draft the outreach.
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Ranking accounts by signalrank_accounts()
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These three — drafts ready to review.
Helios Manufacturing
enterprise
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Corva Logistics
mid-market
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Bluepine Health
mid-market
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Why teams build with CopilotKit.
Your agent acts inside the product, learns from real use, keeps every action auditable, and stays open to your stack.
Acts inside your product
Ask a question and get back a real chart or form, rendered with your components on the same live screen as your users. The agent can take action through your APIs and MCP tools, or directly in your frontend, and whatever it changes stays changed.
Learns from how users work
Every interaction becomes a signal. The agent improves as people use it instead of depreciating like static software.
Every action is auditable
Keep a complete record of every action. Your data stays yours, whether you self-host or use Copilot Cloud.
Open through AG-UI
CopilotKit is not a bet on one framework. Agent frameworks and harnesses across the ecosystem already connect through AG-UI.
Turn real usage into a controlled learning loop that makes agent quality and speed rise while cost falls.
User interactions over time →
How automatic learning works
Follow each production interaction from captured signal to a safer, more capable agent.
Every interaction is captured. In-chat & in-app.
In-app interactions
What users do in your app: clicks, edits, and navigation outside the chat.
Agent-user interactions
The back-and-forth with the agent, plus feedback signals: approvals, edits, retries.
Define learning containers for users, groups of users, or entire organizations.
Self-learning
Learning containers
per user
per group of users
per organization
Your agent automatically improves with every interaction.
Self-improving skills - automatically adopted by your agents
New skills created from real usage
They keep improving over time. You do nothing.
Export datasets to fine-tune custom models
Your interaction data, exportable as fine-tuning datasets
Product analytics for agentic products
See what users try, where they succeed, where they struggle, and what to improve next.
threadsflows
Understand user behavior
See which jobs users attempt, the paths they take, and where they abandon or ask for help.
Measure product outcomes
Connect agent interactions to task completion, adoption, satisfaction, and the outcomes your product team cares about.
Find what works
Identify where users succeed, struggle, retry, or hand off so you know what to improve next.
Works alongside your LLM observability
Keep the traces and evals your engineering team already relies on. CopilotKit adds the product view: what users try, where they succeed, and where they get stuck.
Enterprise Ready. Future-proof your organization.
Own your data and security
Self-host both the open-source SDK and the enterprise runtime. Nothing leaves your infrastructure. Or use our managed Cloud for added convenience.
Future-proof: any agent stack, any frontend, any model
AG-UI works with the stacks your teams use today, and whatever they adopt next.
Bring your own database
No new data store to trust. Everything persists in the database you already run.
Continuous improvement
Use observed outcomes and human feedback to improve prompts, routing, workflows, and UI behavior while you own the learning loop.
“The CopilotKit SDK has accelerated our development processes and enabled us to help our users accomplish their tasks more quickly and with more confidence.”
Mark Peterson, VP of Software Engineering
Docusign
“The AG-UI architecture lets us cleanly decouple our agent framework from the frontend, so we can evolve each independently. The pre-built component library saved us from rolling our own.”
Bryan Godwin, CTO
Evergreen Wealth
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