docagents 0.1.6

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

🧠🤖 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 is included by default)
DEEPAGENTS_EXTRAS="anthropic,groq" 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 (OpenAI is included by default)
uv tool install 'deepagents-cli[anthropic,groq]'

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 (Modal, Runloop, Daytona, & 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

• CLI Documentation
• Changelog
• Source code
• Deep Agents SDK — underlying agent harness

📕 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.