Agent skill

Ag2 Ag UI

Expose an AG2 beta Agent over the AG-UI protocol so a frontend (CopilotKit, custom React/Next.js, or any AG-UI client) can stream responses, render tool calls, sync shared state, and surface…

Apache-2.0Auto-check passedBackend & APIs

Install Ag2 Ag UI

skills CLI

$ npx skills add ag2ai/build-with-ag2 --skill ag2-ag-ui -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install ag2ai/build-with-ag2 ag2-ag-ui --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/ag2ai/build-with-ag2.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/ag2-ag-ui .claude/skills/ag2-ag-ui && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "ag2-ag-ui" agent skill from https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-ag-ui into .claude/skills/ag2-ag-ui/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ag2-ag-ui", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-ag-ui

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add ag2ai/build-with-ag2 --skill ag2-ag-ui -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install ag2ai/build-with-ag2 ag2-ag-ui --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ag2ai/build-with-ag2.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/ag2-ag-ui .agents/skills/ag2-ag-ui && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "ag2-ag-ui" agent skill from https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-ag-ui into .agents/skills/ag2-ag-ui/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ag2-ag-ui", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ag2ai/build-with-ag2 --skill ag2-ag-ui -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install ag2ai/build-with-ag2 ag2-ag-ui --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ag2ai/build-with-ag2.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/ag2-ag-ui .cursor/skills/ag2-ag-ui && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "ag2-ag-ui" agent skill from https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-ag-ui into .cursor/skills/ag2-ag-ui/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ag2-ag-ui", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/ag2ai/build-with-ag2.git --path .agents/skills/ag2-ag-ui

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add ag2ai/build-with-ag2 --skill ag2-ag-ui -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install ag2ai/build-with-ag2 ag2-ag-ui --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ag2ai/build-with-ag2.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/ag2-ag-ui .gemini/skills/ag2-ag-ui && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "ag2-ag-ui" agent skill from https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-ag-ui into .gemini/skills/ag2-ag-ui/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ag2-ag-ui", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install ag2ai/build-with-ag2 ag2-ag-ui

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add ag2ai/build-with-ag2 --skill ag2-ag-ui -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/ag2ai/build-with-ag2.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/ag2-ag-ui .github/skills/ag2-ag-ui && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "ag2-ag-ui" agent skill from https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-ag-ui into .github/skills/ag2-ag-ui/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ag2-ag-ui", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add ag2ai/build-with-ag2 --skill ag2-ag-ui -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install ag2ai/build-with-ag2 ag2-ag-ui --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/ag2ai/build-with-ag2.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/ag2-ag-ui .opencode/skills/ag2-ag-ui && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "ag2-ag-ui" agent skill from https://github.com/ag2ai/build-with-ag2/tree/main/.agents/skills/ag2-ag-ui into .opencode/skills/ag2-ag-ui/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ag2-ag-ui", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: ag2-ag-ui
GitHub stars: 252
Token cost: ~1.7k tokens
SKILL.md length: 426 words
Files: 1
Skills in repo: 16
Repo updated: Sep 6, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Expose an AG2 beta Agent over the AG-UI protocol so a frontend (CopilotKit, custom React/Next.js, or any AG-UI client) can stream responses, render tool calls, sync shared state, and surface…

The user wants a web frontend in front of an AG2 agent rather than a CLI / script
SKILL.md covers When to use, Supported AG-UI features, Installation and 60-second recipe — FastAPI…, plus 5 more sections
Calls pip, curl and uvicorn; reaches github.com
Tasks that involve Backend development

What it does

Ag2 Ag UI is an agent skill from ag2ai/build-with-ag2. Expose an AG2 beta Agent over the AG-UI protocol so a frontend (CopilotKit, custom React/Next.js, or any AG-UI client) can stream responses, render tool calls, sync shared state, and surface human-input checkpoints. Wraps the agent with AGUIStream(agent) and mounts it in FastAPI via stream.dispatch(...) or stream.buildasgi(). Use when the user wants a web frontend in front of an AG2 agent rather than a CLI / script.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering Backend development. It works with Next.js, React and FastAPI. The repository describes itself as: Sample code and application showcases to get you going with AG2 (formally AutoGen). The licence is Apache-2.0.

When your agent uses it

The user wants a web frontend in front of an AG2 agent rather than a CLI / script
Tasks that involve Backend development

Example prompts

“/ag2-ag-ui”

Requirements

Python 3
Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit 29eeac3. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- pip
- curl
- uvicorn
- npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- github.com
Also links to:
- docs.ag-ui.com
- dojo.ag-ui.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ag2 Ag UI loads about 1.7k tokens when it runs. Until then it costs about 110 tokens; SKILL.md has 426 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~110
When it runs · the whole SKILL.md, loaded when a task matches: ~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ag2ai/build-with-ag2 at commit 29eeac3, republished under its Apache-2.0 licence (© ag2ai). 426 words, ~1,658 tokens.

Download SKILL.mdSave it as .claude/skills/ag2-ag-ui/SKILL.md (or your agent's skills folder).

name: ag2-ag-ui
description: Expose an AG2 beta `Agent` over the AG-UI protocol so a frontend (CopilotKit, custom React/Next.js, or any AG-UI client) can stream responses, render tool calls, sync shared state, and surface human-input checkpoints. Wraps the agent with `AGUIStream(agent)` and mounts it in FastAPI via `stream.dispatch(...)` or `stream.build_asgi()`. Use when the user wants a web frontend in front of an AG2 agent rather than a CLI / script.
license: Apache-2.0

AG-UI integration

When to use

The user is building a web UI (React / Next.js / anything HTTP+SSE) that should talk to an AG2 beta agent.
They want streaming text, tool-call rendering, shared state sync, or HITL checkpoints surfaced to the frontend with a standard protocol — not a custom REST/WebSocket contract.
They're using or considering CopilotKit (the recommended React client).

For a custom narrow-purpose API where you own the contract end-to-end, skip AG-UI and write a plain endpoint instead.

Supported AG-UI features

Feature	Status
Streaming text events (`TEXT_MESSAGE_*`, `TEXT_MESSAGE_CHUNK`)	✓
Backend tool lifecycle (`TOOL_CALL_START` / `_ARGS` / `_RESULT` / `_END`)	✓
Frontend-tool dispatch (`TOOL_CALL_CHUNK` for client tools in `RunAgentInput.tools`)	✓
Shared-state snapshots (`STATE_SNAPSHOT`)	✓
Human input checkpoints (surfaced as user-visible message events)	✓

Installation

bash

pip install "ag2[ag-ui]"

60-second recipe — FastAPI server

python

from fastapi import FastAPI, Header
from fastapi.responses import StreamingResponse

from autogen.beta import Agent
from autogen.beta.ag_ui import AGUIStream, RunAgentInput
from autogen.beta.config import OpenAIConfig

agent = Agent(
    name="support_bot",
    prompt="You help users with billing questions.",
    config=OpenAIConfig(model="gpt-4o-mini"),
)

stream = AGUIStream(agent)
app = FastAPI()

@app.post("/chat")
async def run_agent(message: RunAgentInput, accept: str | None = Header(None)) -> StreamingResponse:
    return StreamingResponse(
        stream.dispatch(message, accept=accept),
        media_type=accept or "text/event-stream",
    )

bash

uvicorn run_ag_ui:app --reload --port 8000

Test:

bash

curl -N -X POST http://127.0.0.1:8000/chat \
  -H "Content-Type: application/json" \
  -H "Accept: text/event-stream" \
  -d '{"thread_id":"t1","run_id":"r1","messages":[{"id":"m1","role":"user","content":"Hello"}],"state":{},"context":[],"tools":[]}'

Lower-friction alternative — `build_asgi()`

If you don't need custom auth / middleware, mount the ASGI endpoint directly:

python

from autogen.beta.ag_ui import AGUIStream
from fastapi import FastAPI

app = FastAPI()
stream = AGUIStream(agent)
app.mount("/chat", stream.build_asgi())

CopilotKit frontend (recommended for React / Next.js)

Two ways to start:

bash

# Option A — CopilotKit bootstrap
npx copilotkit@latest create -f ag2

# Option B — clone the reference starter
# https://github.com/ag2ai/ag2-copilotkit-starter

The starter layout:

ag2-copilotkit-starter/
├── agent-py/     # Python backend (AG2 + AG-UI)
└── ui-react/     # React + CopilotKit frontend

Backend serves /chat on port 8008 by default. The Next.js route at ui-react/app/api/copilotkit/route.ts bridges the UI to the backend:

tsx

import { HttpAgent } from "@ag-ui/client";
import { CopilotRuntime, ExperimentalEmptyAdapter, copilotRuntimeNextJSAppRouterEndpoint } from "@copilotkit/runtime";
import { NextRequest } from "next/server";

const agent = new HttpAgent({ url: "http://localhost:8008/chat" });
const runtime = new CopilotRuntime({ agents: { weather_agent: agent } });

export async function POST(req: NextRequest) {
  const { handleRequest } = copilotRuntimeNextJSAppRouterEndpoint({
    runtime,
    serviceAdapter: new ExperimentalEmptyAdapter(),
    endpoint: "/api/copilotkit",
  });
  return handleRequest(req);
}

Wrap your app:

tsx

import { CopilotKit } from "@copilotkit/react-core";
import "@copilotkit/react-ui/styles.css";

export default function RootLayout({ children }: { children: React.ReactNode }) {
  return (
    <html lang="en">
      <body>
        <CopilotKit agent="weather_agent" runtimeUrl="/api/copilotkit">
          {children}
        </CopilotKit>
      </body>
    </html>
  );
}

Render chat (<CopilotChat />), and use useCopilotAction({...}) in client components to render generative UI tied to backend tool calls.

Production checklist

CORS — allow your frontend origin on the AG-UI backend (POST, OPTIONS, auth headers).
Auth — protect both /api/copilotkit (Next.js route) and backend /chat. Don't rely on client-only secrets.
SSE buffering — verify backend response is Content-Type: text/event-stream and that proxy layers (Nginx, CloudFront, etc.) don't buffer SSE.
Timeouts / retries — conservative values for long-running tool workflows; only retry idempotent requests.
Tool inputs are untrusted — validate and authorize server-side before invoking privileged tools. Log tool execution with request IDs.
Tool name parity — frontend useCopilotAction name must match backend @tool name exactly.

Show full SKILL.md (150 more words)Show less

Going deeper

website/docs/beta/ag-ui/index.mdx — AGUIStream, supported events, basic server.
website/docs/beta/ag-ui/copilotkit-quickstart.mdx — full React + CopilotKit walkthrough (file layout, route, layout, chat component, weather-card example).
AG-UI protocol: https://docs.ag-ui.com/introduction
Reference starter: https://github.com/ag2ai/ag2-copilotkit-starter
For protocol-level testing: AG2 Dojo profile https://dojo.ag-ui.com/ag2/feature/agentic_chat

Common pitfalls

Missing ag-ui extra — pip install "ag2[ag-ui]" is required; without it from autogen.beta.ag_ui import AGUIStream will fail.
CORS blocked — frontend can't hit the backend in dev. Add CORSMiddleware to the FastAPI app for the dev origin.
No streaming output — proxy or Content-Type issue. Test with raw curl -N first to isolate.
Tool UI not rendering — tool name on the React side (useCopilotAction({ name: "..." })) doesn't exactly match the backend @tool name.
Putting the endpoint behind a SSE-incompatible proxy — many proxies buffer event-stream responses by default. Disable buffering on the route.
Trying to use AGUIStream with classic ConversableAgent — the description here covers autogen.beta.Agent. Classic AG2 agents can be exposed differently; check the AG2 docs for that path.

Files

Just SKILL.md in .agents/skills/ag2-ag-ui of ag2ai/build-with-ag2.

Open the folder on GitHubat commit 29eeac3

Compare with similar skills

Ag2 Ag UI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ag2 Ag UI compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Ag2 Ag UI this skillag2ai/build-with-ag2	252	—	~1.7k	Automated safety check: Pass	Apache-2.0	1 mo ago
Docs Guidefivetaku/gptaku-plugins-codex	128	—	~3.5k	Automated safety check: Pass	MIT	1 mo ago
Htmxericrisco/rsc-harness	180	—	~3.4k	Automated safety check: Pass	MIT	today
Senior Fullstackalirezarezvani/claude-skills	28k	1 repos	~3.7k	Automated safety check: Notes	MIT	1 mo ago
Senior Fullstackborghei/Claude-Skills	891	—	~1.7k	Automated safety check: Pass	MIT	3 days ago
Clean Code Refactorerfike/fastapi-blog	101	—	~402	Automated safety check: Pass	MIT	yesterday

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Works with

Questions about Ag2 Ag UI

What does Ag2 Ag UI do?

Expose an AG2 beta Agent over the AG-UI protocol so a frontend (CopilotKit, custom React/Next.js, or any AG-UI client) can stream responses, render tool calls, sync shared state, and surface…. Ag2 Ag UI is an agent skill from ag2ai/build-with-ag2.js, or any AG-UI client) can stream responses, render tool calls, sync shared state, and surface human-input checkpoints.

When should I use Ag2 Ag UI?

Ag2 Ag UI fits situations like: the user wants a web frontend in front of an AG2 agent rather than a CLI / script; tasks that involve Backend development.

How do I install Ag2 Ag UI in Claude Code?

Run `npx skills add ag2ai/build-with-ag2 --skill ag2-ag-ui -a claude-code`. Or copy the skill folder (.agents/skills/ag2-ag-ui in ag2ai/build-with-ag2) into .claude/skills/ag2-ag-ui in your project. Claude Code loads it when a task matches its description.

How do I install Ag2 Ag UI in Codex?

Run `npx skills add ag2ai/build-with-ag2 --skill ag2-ag-ui -a codex`. Or copy the skill folder (.agents/skills/ag2-ag-ui in ag2ai/build-with-ag2) into .agents/skills/ag2-ag-ui in your project. Codex loads it when a task matches its description.

Can I use Ag2 Ag UI in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ag2ai/build-with-ag2 --skill ag2-ag-ui -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ag2-ag-ui, .gemini/skills/ag2-ag-ui, .github/skills/ag2-ag-ui and .opencode/skills/ag2-ag-ui in your project.

What does Ag2 Ag UI need to run?

Going by SKILL.md and its folder, Ag2 Ag UI needs the command-line tools its instructions call (pip, curl, uvicorn and npx). Our summary lists: Python 3; Node.js.

Does Ag2 Ag UI access the network?

SKILL.md names 3 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: docs.ag-ui.com and dojo.ag-ui.com. This is read from the text; nothing was executed.

Is Ag2 Ag UI safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ag2 Ag UI use?

Ag2 Ag UI is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ag2 Ag UI use?

About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ag2 Ag UI?

Skills that share tags, products or a category with Ag2 Ag UI: Docs Guide (fivetaku/gptaku-plugins-codex, 128 stars), Htmx (ericrisco/rsc-harness, 180 stars), Senior Fullstack (alirezarezvani/claude-skills, 28k stars) and Senior Fullstack (borghei/Claude-Skills, 891 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ag2 Ag UI?

ag2ai (a GitHub organization) maintains it in ag2ai/build-with-ag2, which has 252 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on September 6, 2026.

Source: ag2ai/build-with-ag2 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Ag2 Ag UI

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

AG-UI integration

When to use

Supported AG-UI features

Installation

60-second recipe — FastAPI server

Lower-friction alternative — build_asgi()

CopilotKit frontend (recommended for React / Next.js)

Production checklist

Going deeper

Common pitfalls

Files

Compare with similar skills

Similar skills

More from ag2ai/build-with-ag2

Related

Questions about Ag2 Ag UI

Lower-friction alternative — `build_asgi()`