AG-UI

The gap between a demo agent and a production agent is memory. CopilotKit just launched the Enterprise Intelligence Platform — a managed persistence layer for agentic applications built on the open-source CopilotKit stack. The core primitive: Threads — persistent session objects that capture generative UI, human-in-the-loop workflows, shared state, voice, files, and multimodal interactions across sessions and devices. No custom storage layer. No hand-rolled memory infrastructure. Agents retain context, state, and history out of the box. What's on the roadmap — — Analytics & Insights — real-time dashboard, SQL-queryable data lakehouse, OTLP export to DataDog and NewRelic — Self-Improvement — Continuous Learning from Human Feedback (CLHF), prompt mutation, per-user adaptation — no fine-tuning required Read the full technical breakdown: marktechpost.com/2026/05/06/cop… @CopilotKit

We've raised $27M to build @CopilotKit — the Agentic Frontend Stack connecting humans & agents. Because all UI will be AI. Co-led by Glilot Capital, NfX and SignalFire.

🎉 Excited to announce our upcoming course with @DeepLearningAI Fullstack Agents & Generative UI All UI will be AI. Every interaction with technology will be mediated by agents. In this course we walk through: ✨ The Generative UI Spectrum — controlled, declarative, fully open 🛠️ Building with A2UI, AG-UI and MCP Apps 🧱 Building Blocks for FullStack, Cursor-like Agent Applications This is the most complete walkthrough of Generative UI you'll find anywhere - the foundation of the next generation of software. Huge thanks to @AndrewYNg and the DeepLearning AI team. We put a lot of heart into this one and we're really proud of how it turned out. Join the waitlist: deeplearning.ai/short-courses/…

We open sourced Claude Artifacts for your own apps. Ask your agent to visualize algorithms, create 3D animations, render charts, or generate interactive diagrams. PLUS it runs the generated code securely w/ sandbox iframe. It's additive to your app, so you can drop it in with one toggle. ➡️ docs.copilotkit.ai/generative-ui/…

Is Sama summoning AG-UI?

It's the golden age of building. Soon, all UI will become AI. While Agents need one thing, Users need another. Make your agent speak Generative UI via the three different patterns, in minutes. This was generated by an agent on the fly, in real time 👇

Anthropic is going all in on this, and now you can too 👇 Let your agents completely generate interactive UIs on the fly that stream live into the chat. ✨ Introducing Open Generative UI Enable it by setting openGenerativeUI: true That's it. Completely open source.

@openclaw and @tan_stack are using AIMock 🦞🏖️ 1M weekly downloads by tomorrow...

> be a dev building an AI app > write tests like a responsible person > every CI run hits real OpenAI, Claude, Pinecone > every flaky retry burns more tokens > try to mock it yourself > mocks drift from the real APIs in a week > give up, pay the OpenAI tax > then @CopilotKit drops AIMock > within two weeks, weekly downloads are at 700K+ > even @openclaw is using in their CI > one command to mock everything your AI app talks to > dev finally sleeps at night AIMock boots 11 LLM providers, MCP, A2A, AG-UI, and vector DBs on a single port. $0 to run, open source, zero dependencies Record real APIs once, replay forever. Chaos test with 500s, malformed JSON, and mid-stream drops. Your tests stop depending on the same providers you're building on. > github.com/CopilotKit/aim…

AIMock already has 700,000 weekly downloads + TONS of new features for testing. aimock.copilotkit.dev

Calling all agent builders 📣 The Generative UI Community Demo Fest is tomorrow. 3 minutes, your code, your peers vote. Meta Ray-Bans + CopilotKit hoodie for the winner → It's not too late to register. See you there! 👉luma.com/f6wtdc1l

🧵 Agentic UI gets messy fast. AG-UI is the protocol that brings order to it. (👇 full article at the end) It keeps the frontend decoupled from the agent and the LLM. Big upside: your frontend stays independent from the server stack! 1/6

Testing just an LLM? ✅ You might need others too... - LLM APIs - image generation - text-to-speech - transcription - video generation - MCP tools - A2A agents - AG-UI event streams - vector databases - search - rerank - moderation. One package, one port, zero dependencies. Free. github.com/CopilotKit/aim…

Totally agree unit tests are critical, but curious if you've heard of AIMock? Mock infrastructure for AI application testing, and there's nothing like it that even comes close: - LLM APIs - image generation - text-to-speech - transcription - video generation - MCP tools - A2A agents - AG-UI event streams - vector databases - search - rerank - moderation. One package, one port, zero dependencies. Open source. Free. github.com/CopilotKit/aim…

Google Cloud Next starts today. We came to talk about - all UI will be AI Register to see Atai's session with Google Cloud's @zeroasterisk2 and @idosal1. AG-UI, A2UI, MCP Apps. The protocols making it real. Schedule in 🧵

🎉This one is big, and with the best partner All UI will be AI. We're going to show you exactly how. Stay tuned, join the waitlist: deeplearning.ai/short-courses/…

The rest of the industry is slowly realizing everything's going to be generative UI...🫟 don't worry, we've written some guides.

✨ Introducing AIMock: deterministic mock servers for testing Test your AI powered apps reliably, without burning money on real API calls or fighting non-deterministic outputs in CI. 2 Protocols. 9 tools. 1 port. 0 dependencies. All open-source. Here's what's inside 🧵

@nathan_tarbert We are using AIMock for our end-to-end test suite. It solved all of our flaky tests!

Build a tool your team needs (they said), then open-source it! 👀 github.com/CopilotKit/aim…