Mike Ryan

Building @CopilotKit. Functional programming, generative user interfaces, and software design. @Angular GDE. He/him/y'all.

[Atai Barkai @ataiiam]

🚀 Introducing CopilotKit Soar

AI coworkers your company actually owns.

We open sourced the big lab AI products - Grok Bot, Muse, Dots...

Now we're turning their best aspects into one business-ready version that's:

- Self-hostable
- Fully customizable
- Works with any agent harness / model
- Has continual learning
- Available on Web, Mobile, Channels

and more via the AG-UI Protocol, OpenBot and @CopilotKit Intelligence.

By getting early access to Soar, our FDEs will personally support your company in setting up and maintaining the product with your own branding and infrastructure.

Get early access: https://t.co/4B8VTzUzux
(to skip the line, schedule a meeting)

Stop renting your AI and start owning it.

[Alem Tuzlak 🇧🇦 @AlemTuzlak]

When I was getting into programming the popular thing to do and show of your skills was to create a React TODO app or a movie app.

Today it's migrating typescript to a different language.

[Manfred Steyer @ManfredSteyer]

Learn how to build Agentic UIs with Angular! 🚀

Join our free live-coding webinar on October 23, where we'll build an Agentic Analytics App using Angular, CopilotKit, AG-UI & A2UI.

Register here:
https://t.co/OCLGI3ece0

[Mike Ryan @MikeRyanDev]

It's straightforward to build an agent inside your product that works well in a demo, but making it actually useful requires a deep understanding of how your users get work done in your app.

CLiF lets CopilotKit Intelligence learn from user behavior outside of chat. It understands workflows and then generates new Skills you can feed into your agent.

[Atai Barkai @ataiiam]

INTRODUCING: CopilotKit CLiF

A platform for Continual Learning from Full-stack Trajectories.

Teach your agents how work gets done by turning the work users & employees do into:

→ Exportable datasets (of trajectories)
→ Evals (bring into platform of choice)
→ Skills
→ Fine-tuned models

Your users already do the exact tasks you're trying to teach your agent, every day.

Yet months of evals and engineering leave out your most important dataset...

Product trajectories.

AG-UI already sees every step your agent takes. Now it can also securely capture what your users do: what was on their screen, the buttons they clicked, the server requests they triggered.

Together that's a full-stack trajectory.

Your people already do the work.
Now agents can learn it from them.

Compatible with your existing observability and evals stack. Fully self-hostable.

@CopilotKit CLiF is in private alpha.

Book a demo / Get early access: https://t.co/HeDY7zTNjX

More below 👇

[Atai Barkai @ataiiam]

INTRODUCING: CopilotKit CLiF

A platform for Continual Learning from Full-stack Trajectories.

Teach your agents how work gets done by turning the work users & employees do into:

→ Exportable datasets (of trajectories)
→ Evals (bring into platform of choice)
→ Skills
→ Fine-tuned models

Your users already do the exact tasks you're trying to teach your agent, every day.

Yet months of evals and engineering leave out your most important dataset...

Product trajectories.

AG-UI already sees every step your agent takes. Now it can also securely capture what your users do: what was on their screen, the buttons they clicked, the server requests they triggered.

Together that's a full-stack trajectory.

Your people already do the work.
Now agents can learn it from them.

Compatible with your existing observability and evals stack. Fully self-hostable.

@CopilotKit CLiF is in private alpha.

Book a demo / Get early access: https://t.co/HeDY7zTNjX

More below 👇

[Atai Barkai @ataiiam]

🎉 Introducing 𝙾𝚙𝚎𝚗𝙳𝚘𝚝𝚜

Self-hostable, always-on AI coworkers that works with ANY agent harness.

Includes:
- Computer use: browser, terminal & files
- Bring agents to Slack, Teams etc
- Spaces and Pages for projects
- Voice calls
- Web and Mobile

Repo → https://t.co/j6URR886Dt

Powered by @CopilotKit and AG-UI.

Clone this template and customize it however you want. Enterprise-ready.

[Mike Ryan @MikeRyanDev]

@samjulien I've been using Dot for my upcoming trip. It's so, so good at proactive notifications, nabbing reservations, and keeping the itinerary organized.

[Atai Barkai @ataiiam]

Introducing AG-UI 1.0

The open protocol for how ANY agent communicates with ANY application.

Now with a stable, versioned contract.

Features included in 1.0:

1. Metadata - send backend data to the UI
2. Subagents - expose delegated agent work
3. Interrupts + resumption
3. Run outcomes and token usage
4. Forward compatibility

Capabilities that have been part of AG-UI (streaming, tool calls, shared state, reasoning etc) are still covered.

Thank you to those who shaped 1.0 🪁

Including builders at @Anthropic, @Google, @Microsoft, @Pydantic, @TanStack and more.

Their feedback led directly to several critical improvements in the final release.

AG-UI is built with those who build on it.

👉 Read more: https://t.co/vaJh2QGEDg

The 1.0 spec will remain unchanged, while future protocol evolution will happen through new draft specifications and open community discussion, led by @CopilotKit.

More details below

[Mike Ryan @MikeRyanDev]

Congrats to @HeyGarrison and team on the launch of @computesdk Actions. Excited to build with it. 💪

[ComputeSDK @computesdk]

🏁 ComputeSDK Actions are live

What we built:
⚡ Massive concurrency for parallel dev cycles
🌐 Sandbox providers + regions
🌿 Git-first workflow portability
🛡️ Ordered fallback for reliability
🤖 Agent-native CLI + API

Let’s get into it ↓

[Sam Julien @samjulien]

How do you write product requirements for an AI agent?

“Add an assistant” leaves a lot unanswered. When does it ask permission? How can users change their minds?

AG-UI gives PMs a concrete vocabulary for designing how people and agents work together. https://t.co/O4SdIWQgIe

[Mike Ryan @MikeRyanDev]

@wwwalkerrun @NativeScript Looks gorgeous!

[Mike Ryan @MikeRyanDev]

@joelhooks Big brain move. Was thinking of doing something similar with my eurorack setup.

[Rainer Hahnekamp @rainerhahnekamp]

We released our AG-UI DevTools Chrome extension.

If you are already working on Agentic UI with AG-UI (via @CopilotKit), this makes your life much easier. If not, now's the best time to try it 😁

Kudos to @wolfmanfx (@SoveriusAI) for the implementation.

https://t.co/WoNh3EvFcV

[CopilotKit🪁 @CopilotKit]

AG-UI is how agents talk to your app.

Connect your UI to LangGraph, CrewAI, Mastra or Google ADK through one shared protocol:

→ Stream text and tool calls
→ Keep state in sync with snapshots or JSON Patch deltas
→ Carry events over SSE, WebSockets or other transports

Explore AG-UI
https://t.co/CQ5bvcJrSB

[Mike Ryan @MikeRyanDev]

@brandontroberts I think you’d hate working with AI-pilled Mike. Had a PR two weeks ago that touched 2400 files with a million additions. 😂 I ain’t peeping any of that.

[Mike Ryan @MikeRyanDev]

@brandontroberts Gets me every time 😂

The problem with AI putting three Angular components in one file is that you dared to look at the source. Vibe and ship, Brandon, vibe and ship.

[Mike Ryan @MikeRyanDev]

You can now use the new, official @NxDevTools generator from @AWS to generate a CopilotKit app on top of Bedrock.

[Nx @NxDevTools]

The AWS PACE team:

"we face the tension between speed and production readiness daily. [...] Our teams landed on Nx and have used it for several years for exactly this"

https://t.co/qm24TcILtb

[Nx @NxDevTools]

The AWS PACE team:

"we face the tension between speed and production readiness daily. [...] Our teams landed on Nx and have used it for several years for exactly this"

https://t.co/qm24TcILtb

[Mike Ryan @MikeRyanDev]

Ask me about lessons learned building an agentic onboarding prompt that covers 1600 unique user journeys 😅

[Sam Julien @samjulien]

Hey so we designed, architected, built, and shipped an entire agentic onboarding system w/evals in three weeks