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Terminal interface for Deep Agents - interactive AI agent with file operations, shell access, and sub-agent capabilities.

Reason this release was yanked:

Startup race can deadlock on first launch

Project description

🧠🤖 Deep Agents CLI

PyPI - Version PyPI - License PyPI - Downloads Twitter

Deep Agents CLI

Quick Install

curl -LsSf https://raw.githubusercontent.com/langchain-ai/deepagents/main/libs/cli/scripts/install.sh | bash
# With model provider extras
# OpenAI, Anthropic, and Gemini are included by default
DEEPAGENTS_EXTRAS="nvidia,ollama" curl -LsSf https://raw.githubusercontent.com/langchain-ai/deepagents/main/libs/cli/scripts/install.sh | bash

Or install directly with uv:

# Install with chosen model providers
uv tool install 'deepagents-cli[nvidia,ollama]'

Run the CLI:

deepagents

🤔 What is this?

The fastest way to start using Deep Agents. deepagents-cli is a pre-built coding agent in your terminal — similar to Claude Code or Cursor — powered by any LLM that supports tool calling. One install command and you're up and running, no code required.

What the CLI adds on top of the SDK:

  • Interactive TUI — rich terminal interface with streaming responses
  • Conversation resume — pick up where you left off across sessions
  • Web search — ground responses in live information
  • Remote sandboxes — run code in isolated environments (LangSmith, AgentCore, Daytona, Modal, Runloop, & more)
  • Persistent memory — agent remembers context across conversations
  • Custom skills — extend the agent with your own slash commands
  • Headless mode — run non-interactively for scripting and CI
  • Human-in-the-loop — approve or reject tool calls before execution

📖 Resources

📕 Releases & Versioning

See our Releases and Versioning policies.

💁 Contributing

As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.

For detailed information on how to contribute, see the Contributing Guide.

🤝 Acknowledgements

This project was primarily inspired by Claude Code, and initially was largely an attempt to see what made Claude Code general purpose, and make it even more so.

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