ai-agent

agent-chat-ui: Simple Agent Interaction

Interact with LangGraph agents via chat.
3,072 stars673 forksTypeScriptGuide quality 8/10Updated 8/17/2026100% free · open source
What it does

The agent-chat-ui tool allows founders to interact with LangGraph agents via a chat interface, enabling them to harness the capabilities of AI agents in a user-friendly way.

When to use it
  • When you need to test and debug LangGraph agents in a conversational format
  • When you want to demonstrate the capabilities of your AI agents to non-technical stakeholders
  • When you need to integrate LangGraph agents into a web-based application or workflow
Ready-to-paste prompt
Ask your LangGraph agent a question like 'What are the key benefits of using a chat interface for interacting with AI agents?' to see its response
Heads up: Make sure you have the correct version of Node.js installed, as the agent-chat-ui requires a compatible runtime environment to function correctly, and may not work as expected with older or newer versions
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/agent-chat-ui && curl -fsSL https://workflowstacks.com/api/skills/agent-chat-ui/claude-skill -o ~/.claude/skills/agent-chat-ui/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How agent-chat-ui: Simple Agent Interaction works
Codeflow
Free to inspect

Agent-chat-ui: Simple Agent Interaction is a medium TypeScript project (~5k lines across 57 code files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit this month, MIT license, no tests found.

Size
Medium codebase
~5k lines · 57 code files · 42 min skim
Setup
Some technical setup
Comfortable with a terminal? 20–40 min. Otherwise ask a dev.
Runs on
Node.js
Needs API keys (.env)
TypeScript 95%CSS 3%JavaScript 2%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    package.json
    Dependencies and the commands it exposes
  3. 3
    .env.example
    The API keys and settings you must provide
  4. 4
    src/components/thread/index.tsx
    Inside src/ — the main logic begins here
What's in each folder
src/Core code — the actual logic54 files
scripts/Helper scripts1 files
.github/CI / automation (GitHub Actions)2 files
READMENo tests foundThin docsCI checksMIT licenseUpdated this month
Quick Actions
Details
Creator
langchain-ai
Language
TypeScript
Category
ai-agent
Published
2/18/2025

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