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AG-UI 1.0 Is Stable: Developer Guide to the New Spec

AG-UI 1.0, the Agent-User Interaction Protocol that defines how backend AI agents stream structured events to frontend UIs, reached stable release on September 30, 2026, with all 31 event types now defined by JSON Schema and TypeScript, Python, and .NET SDKs generated directly from that schema. The spec adds first-class human-in-the-loop interrupt support and a dedicated subagent event category, and is supported by Google, Microsoft, Amazon, Oracle, LangChain, Google ADK, OpenAI Agents SDK, AWS Strands, Microsoft Agent Framework, Pydantic AI, Agno, AG2, and TanStack AI, with Mastra shipping @ag-ui/mastra@1.1.5 the same day. AG-UI 1.0 is backwards compatible with 0.x, so developers can upgrade one side at a time.

read4 min views3 publishedSep 30, 2026
AG-UI 1.0 Is Stable: Developer Guide to the New Spec
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AG-UI 1.0 landed on September 30, 2026, and it closes the last open seam in the AI agent protocol stack. The Agent-User Interaction Protocol — which defines how backend agents stream structured events to frontend UIs — is now schema-locked, SDK-generated, and adopted by Google, Microsoft, Amazon, and Oracle. If you are building any user-facing layer on top of an AI agent, you now have a stable contract to build against.

The protocol stack for AI agents has been sorting itself out for most of 2026. MCP handles agent-to-tool connections. A2A handles agent-to-agent communication. AG-UI fills the third slot: agent-to-user-interface. With AG-UI 1.0 stable, all three layers now have versioned, production-grade specs. The question of how to build a real-time, streaming UI for a running agent no longer requires inventing your own event format.

What Flipped at 1.0 #

The core architectural change is schema-first generation. Every one of the 31 event types is now defined by a JSON Schema. The TypeScript, Python, and .NET SDKs are generated directly from that schema — not maintained by hand alongside it. That distinction matters: it eliminates the entire class of “spec says X, SDK does Y” inconsistencies that made 0.x adoption risky for production systems.

The 31 events span 8 categories: run and step lifecycle, text messages, tool calls, reasoning traces, state synchronization, activity signals, subagents, and custom events. The breadth is intentional — the protocol covers what a frontend legitimately needs to know about a running agent, nothing more.

Human-in-the-Loop Is Now a Spec Feature #

The most production-significant addition in 1.0 is first-class interrupt support. An agent can mid-run, push a structured prompt to the frontend — a choice, form, or approval request — and block until the user responds. The resume payload carries the decision back to the agent and execution continues. This is not a CopilotKit abstraction; it is part of the AG-UI 1.0 spec itself.

// Agent side —  for user approval
const result = await ctx.interrupt({
  type: "choice",
  prompt: "Deploy to production?",
  choices: ["confirm", "cancel"]
});

The resume call carries interruptId, status (resolved or cancelled), and an optional payload. Enterprise teams shipping agents into workflows involving sensitive operations — deploys, financial actions, data mutations — now have a standardized pattern for gating execution on human approval, rather than retrofitting it on top of a polling loop.

Subagents: The Multi-Agent UI Problem Is Solved #

1.0 ships a dedicated event category for subagents. When a parent agent delegates work to a child agent, the frontend receives the full event tree and can render per-subagent progress. Prior to 1.0, developers building multi-agent UIs had to improvise — emit custom events, maintain side-state, or surrender real-time visibility entirely. The spec now handles the delegation model directly.

Mastra’s September 30 release of @ag-ui/mastra@1.1.5 surfaces native tool approvals as AG-UI interrupts automatically. LangChain, Google ADK, OpenAI Agents SDK, AWS Strands, Microsoft Agent Framework, Pydantic AI, Agno, AG2, and TanStack AI all support AG-UI as of the 1.0 release. The protocol is not CopilotKit’s proprietary layer — it is the de facto standard for agent-to-UI communication across the industry.

Migration Is Mechanical, Not Painful #

AG-UI 1.0 is backwards compatible. A 0.x agent works with a 1.0 client and vice versa, so you can upgrade one side at a time. The breaking changes are minor. In TypeScript, optional protocol fields must be absent rather than null — no more passing rawEvent: null. Custom fields on events move into metadata. SubAgentInfo becomes SubagentInfo (lowercase A). In Python, JSON Patch entries are typed objects instead of dicts, so patch["path"] becomes patch.path.

patch["path"]

patch.path

The official migration guide covers every SDK — TypeScript, Python, and .NET. Most existing codebases need fewer than ten targeted changes. The .NET SDK, contributed by Microsoft, reached 1.0 on NuGet alongside the protocol itself, so .NET teams get a fully supported path from day one.

What to Do Today #

If you are on 0.x, the path is clear: pin ag-ui-protocol >= 1.0.0 in your dependencies, run the migration guide, swap custom event fields for metadata, and add interrupt handlers for any tool that touches something you want a human to review before execution. The GitHub repository has working examples across all supported frameworks.

If you have been waiting for AG-UI to stabilize before adopting it — the wait is over. You now have a versioned, schema-backed spec with major cloud providers committed to it. Build the UI layer.

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