Deep Agents Ui

🚀🧠 Deep Agents UI

[Deep Agents](https://github.com/langchain-ai/deepagents) is a simple, open source agent harness that implements a few generally useful tools, including planning (prior to task execution), computer access (giving the able access to a shell and a filesystem), and sub-agent delegation (isolated task execution). This is a UI for interacting with deepagents.

🚀 Quickstart

**Install dependencies and run the app**

git clone https://github.com/langchain-ai/deep-agents-ui.git
cd deep-agents-ui
yarn install
yarn dev

**Deploy a Deep Agent**

As an example, see our [Deep Agents quickstarts](https://github.com/langchain-ai/deepagents/tree/main/examples) for examples and run the `deep_research` example.

The `langgraph.json` file has the assistant ID as the key:

  "graphs": {
    "research": "./agent.py:agent"
  },

Kick off the local LangGraph deployment:

cd deepagents-quickstarts/deep_research
langgraph dev

You will see the local LangGraph deployment log to terminal:

╦  ┌─┐┌┐┌┌─┐╔═╗┬─┐┌─┐┌─┐┬ ┬
║  ├─┤││││ ┬║ ╦├┬┘├─┤├─┘├─┤
╩═╝┴ ┴┘└┘└─┘╚═╝┴└─┴ ┴┴  ┴ ┴

- 🚀 API: http://127.0.0.1:2024
- 🎨 Studio UI: https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024
- 📚 API Docs: http://127.0.0.1:2024/docs
...

You can get the Deployment URL and Assistant ID from the terminal output and `langgraph.json` file, respectively:

• Deployment URL: http://127.0.1:2024
• Assistant ID: research

**Open Deep Agents UI** at [http://localhost:3000](http://localhost:3000) and input the Deployment URL and Assistant ID:

• Deployment URL: The URL for the LangGraph deployment you are connecting to
• Assistant ID: The ID of the assistant or agent you want to use
• [Optional] LangSmith API Key: Your LangSmith API key (format: lsv2_pt_...). This may be required for accessing deployed LangGraph applications. You can also provide this via the NEXT_PUBLIC_LANGSMITH_API_KEY environment variable.

**Usage**

Yo