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CopilotKit vs Dify

Bottom line

CopilotKit is open source and Dify is not.

Which one should you try?

CopilotKit

Freemium

Best for React and Angular developers building in-app AI features

Visit CopilotKit See full review

Dify

Freemium

Best for Teams building RAG, chatbot or agent apps with a visual builder

Visit Dify See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

CopilotKit

CopilotKit

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.

Dify

Dify

LLM app platform with visual workflows, RAG, agents and app APIs. Free Sandbox and self-hosted Community edition.

AttributeCopilotKitDify
PricingFreemiumFreemium
Price$39/developer/monthFree Sandbox; Professional $590/workspace/year; Team $1,590/workspace/year (annual billing)
Pricing checkedJun 11, 2026Oct 17, 2026
Free trialNot statedNot stated
Open sourceYesNo
Has APIYesYes
Self-hosted optionYesYes
PlatformsReact, Angular, Mobile, Slack, and TeamsDify Cloud (web); self-hosted with Docker Compose (min. 2 CPU cores, 4 GiB RAM)
Released2023—
Pros
  • 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.
  • Workflows, RAG, agents and logging in one platform, with an API for every app.
  • Connects to many model providers, including any OpenAI-compatible endpoint.
  • Free self-hosted Community edition via Docker Compose, alongside hosted Dify Cloud.
Cons
  • 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.
  • The modified Apache 2.0 license requires authorization for multi-tenant services and bars removing frontend branding.
  • Multiple workspaces and commercial license authorization are Enterprise features.
  • Model API usage is billed by providers once included cloud credits run out.

Made up your mind?

CopilotKit

Freemium

Best for React and Angular developers building in-app AI features

Visit CopilotKit See full review

Dify

Freemium

Best for Teams building RAG, chatbot or agent apps with a visual builder

Visit Dify See full review

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Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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