CopilotKit vs LangGraph
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | CopilotKit | LangGraph |
|---|---|---|
| Pricing | Free (MIT license) + optional cloud $20/mo | Free (MIT license) |
| Best For | React devs building custom AI chat UIs | Backend/DevOps engineers building production agent workflows |
| Core Strength | Prebuilt chat components & Generative UI in React | Graph-based state orchestration with fine-grained control |
| Backend Support | LangGraph, Google ADK, AWS Strands, Mastra, PydanticAI, etc. | Any LLM (OpenAI, Anthropic, Google), LangSmith |
| Human-in-the-Loop | Built-in workflows for approval/correction | Built-in checks for agent moderation |
| Latest News | OpenTag (Claude in Slack alt); Persona.js; MCP Apps support | Prompt caching with Deep Agents; Box AI case study; LangSmith Engine |
Choose CopilotKit if you're a React developer needing a turnkey frontend for agentic chat UIs with generative UI and multi-agent backends. Choose LangGraph if you're building low-level, stateful agent workflows with full control over orchestration, fault tolerance, and human oversight—especially for enterprise deployments. Both are free and open-source, but serve different layers: frontend (CopilotKit) vs. backend (LangGraph).
Open-source orchestration framework for building reliable, stateful AI agents with low-level control.
Visit WebsiteFeature-by-feature
CopilotKit excels at frontend agentic UX: it provides prebuilt React components (CopilotChat, CopilotSidebar, CopilotPopup) and headless UI for custom pixel control, plus generative UI that renders real React components from agents. Since v1.50, it supports A2UI, Open-JSON-UI, MCP Apps specs, and A2A/MCP handshakes for interoperability with multiple backends (LangGraph, Google ADK, AWS Strands, etc.). Human-in-the-loop workflows are built-in, and the Inspector enables debugging. In contrast, LangGraph is a backend orchestration framework with low-level graph primitives for state and control flow. It supports single, multi-agent, and hierarchical workflows, built-in memory for cross-session context, token-by-token streaming, and fault tolerance (retries, timeouts, error handlers). LangGraph integrates with LangSmith for observability and deployment, and is model-agnostic. Recent news: LangGraph's Deep Agents now support prompt caching (2026-06-26), and a Box AI case study shows enterprise use. CopilotKit's latest updates include OpenTag (an open-source Claude in Slack alternative) and Persona.js (a vanilla-JS agent UI library). For a full stack, CopilotKit leverages LangGraph as one of many backends; LangGraph alone requires a separate UI layer.
Pricing compared
Both CopilotKit and LangGraph are open-source under MIT license, making them free to self-host. CopilotKit also offers CopilotKit Cloud (cloud-hosted backend) at $20/month per developer, which includes hosted agent server and infrastructure. LangGraph remains completely free with no paid tiers; its parent company LangChain offers LangSmith (observability) with free and paid tiers but LangGraph itself is MIT. CopilotKit's freemium model means teams wanting managed hosting pay $20/mo/developer, while those self-hosting pay nothing. LangGraph requires self-hosting or using LangGraph Cloud (which may incur costs). For budget-conscious teams, both have viable free paths, but LangGraph has no paid gate. Latest news does not change pricing. Verdict: LangGraph is purely free; CopilotKit adds optional cloud costs.
Who should pick which
- React developer building a custom AI chat assistantPick: CopilotKit
CopilotKit provides ready-to-use React components (CopilotChat, CopilotSidebar, CopilotPopup) and generative UI, reducing frontend build time. It also works with LangGraph backend if needed.
- Backend engineer orchestrating multi-agent workflows with human oversightPick: LangGraph
LangGraph offers low-level graph primitives, built-in memory, streaming, and human-in-the-loop checks—ideal for complex production agent architectures.
- Enterprise deploying agentic UI for internal toolsPick: CopilotKit
CopilotKit's prebuilt components and headless UI allow enterprise teams to quickly deploy branded agent interfaces. Its support for MCP Apps and A2A enables integration with existing agent backends.
- Developer needing a full agent stack (frontend + backend) that is freePick: LangGraph
While CopilotKit is also free, LangGraph is purely open-source (MIT) with no paid tiers, and can be paired with any UI framework. For a completely free, self-hosted backend, LangGraph is the safer choice.
- Team building an open-source alternative to Claude in SlackPick: CopilotKit
CopilotKit recently released OpenTag (2026-06-26), an open-source Slack agent alternative, aligning with this use case. CopilotKit's chat components and backend flexibility support this directly.
Frequently Asked Questions
Can I use CopilotKit without LangGraph?
Yes, CopilotKit supports many backends including Google ADK, AWS Strands, Mastra, PydanticAI, and more.
Does LangGraph include a UI?
No, LangGraph is a backend framework. You'll need a frontend library (e.g., CopilotKit, React) to build the user interface.
What is the latest version of CopilotKit?
As of latest news (Jan 2026), CopilotKit v1.50+ supports A2UI, Open-JSON-UI, MCP Apps, A2A, and MCP handshakes.
Is LangGraph truly free?
Yes, LangGraph is MIT-licensed and free. LangSmith (observability) has free and paid tiers, but LangGraph itself is free.
Which one is better for human-in-the-loop?
Both have built-in human-in-the-loop features. CopilotKit provides workflow-level approval/correction; LangGraph provides graph-level checks.
Can I use LangGraph with CopilotKit?
Yes, LangGraph is one of CopilotKit's supported backends. Together they form a full stack: LangGraph for orchestration, CopilotKit for UI.
Does CopilotKit support streaming?
Yes, through its backend integrations. LangGraph supports token-by-token streaming natively.
What is OpenTag?
OpenTag is an open-source alternative to Claude in Slack, released by CopilotKit on June 26, 2026.
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