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✨AG-UI has been taking off! The Agent-User Interaction Protocol, allows you to bring AI agents into Frontend Apps. Excited to announce BIG updates & adoption by LlamaIndex 🦙 ,Agno, Google ADK, AWS & more! + New Building Experience🧑‍💻 npx create-ag-ui-app How it works & more 👇

70,663 просмотров • 1 год назад •via X (Twitter)

Комментарии: 6

Фото профиля CopilotKit🪁
CopilotKit🪁1 год назад

AG-UI Launched one month ago with day-0 support for LangGraph, CrewAI, Mastra and AG2 - it has since taken off with both users & integrations! Today we're excited to welcome @llama_index & @AgnoAgi into AG-UI🎉 AG-UI fills a major gap in the Agent ecosystem, making it dead simple for builders to bring compatible Agents into Frontend clients. In the protocol landscape; MCP; Agents to tools A2A; Agents to agents AG-UI; Agents to users, via Frontends We first developed AG-UI as an in-house protocol for CopilotKit integrations, but we have since factored it into a generalized and powerful open protocol...

Фото профиля CopilotKit🪁
CopilotKit🪁1 год назад

Here's how it works: AG-UI compatible frameworks emit events (20 types of events) as they are running, to update state or UI, send messages or tool calls, etc AG-UI compatible clients, listen to these events, and represent them in the Frontend. This includes UI, shared state, and deep human-in-the-loop. It is highly extendable by design. AG-UI is a bridge. Connect to that bridge and you will automatically get framework <> client compatibility

Фото профиля CopilotKit🪁
CopilotKit🪁1 год назад

To get started with AG-UI, you can either: 🧑‍💻Create an AG-UI application via: npx create-ag-ui-app 🤝To integrate with AG-UI (for new clients & frameworks) Go to and check out the integration guides. Star the repo⭐️ We are only one month in, and just getting started!

Фото профиля Bonnie
Bonnie1 год назад

@llama_index @AgnoAgi This is awesome.

Фото профиля Uli 🪁
Uli 🪁1 год назад

@llama_index @AgnoAgi Amazing job on all the new integrations. AG-UI 📈

Фото профиля Avi Chawla
Avi Chawla1 год назад

@llama_index @AgnoAgi Been waiting for the LlamaIndex integration. Great work solving a key problem using AG-UI 🙌

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AG-UI makes building agentic applications dramatically easier. Here's how it works. This is a model for a simple chatbot: User → LLM → Response But interactive agents that render UI, pause for approvals, and ask users for input need a much more complex model. When building these agents, a response from the LLM will include a series of state changes as the agent runs: • Agent started a task • Agent called a tool • Agent updated its state • Agent streams these tokens • Agent is waiting on a human • Agent is resuming the task The Agent-User Interaction Protocol (AG-UI) treats the LLM response as a stream of events rather than a text endpoint. In practice, here is what you get as an agent runs: 1. Lifecycle events so your UI knows where the agent is. 2. Text messages that stream tokens. 3. Tool calls so your UI can prefill a form with any required arguments. 4. State updates that keep your UI in sync with the agent. 5. Special events for human approvals, rich media, and custom needs. All of these events travel over standard transports (SSE, WebSockets, or plain HTTP) as JSON. As a result, you can build a frontend that stays in sync with the agent's progress without having to invent a custom process to make this happen. For example, building a human-in-the-loop workflow becomes an off-the-shelf component you can integrate rather than build from scratch. CopilotKit🪁 is the creator of AG-UI, and you can use it when building frontend applications pretty much anywhere: • React • Angular • Vue • React Native • Slack • Teams • Discord • WhatsApp • Telegram Here is the link for you to check it out: Thanks to the CopilotKit team for partnering with me on this post.

Santiago

17,438 просмотров • 4 месяцев назад