DeepAgents CLI: A New Tool for Efficient Coding and Research

LangChain has announced the launch of **DeepAgents CLI**, a command-line interface designed to streamline coding, research, and the creation of agents with persistent memory. This innovative tool allows users to create and manage custom DeepAgents directly from their terminal, offering a powerful new way to boost productivity.

### Features and Capabilities

DeepAgents CLI offers a comprehensive suite of functionalities aimed at enhancing user efficiency. With this tool, users can read, write, and edit files within their projects, execute shell commands with human approval, and even search the web for up-to-date information. Additionally, DeepAgents CLI makes HTTP requests to APIs and maintains a persistent memory system, enabling it to learn and remember information across different sessions.

One of the standout features is its ability to plan tasks through visual to-do lists, making it a versatile assistant for both developers and researchers. The CLI supports models from Anthropic (Claude) and OpenAI, with **Anthropic Claude Sonnet 4** set as the default model and **Tavily** being used specifically for web searches.

### Installation and Setup

Getting started with DeepAgents CLI is straightforward. Simply run the following command to install:

“`bash
pip install deepagents-cli
“`

For users employing `uv`, the equivalent command is:

“`bash
uv pip install deepagents-cli
“`

After installation, set up your API keys by adding them to the `.env` file located in your project root. This setup allows DeepAgents CLI to automatically load the necessary configurations for seamless operation.

### Getting Started with DeepAgents

Once installed, launching DeepAgents within your project directory is as simple as typing:

“`bash
deepagents
“`

Or, if you are using `uv`:

“`bash
uv run deepagents
“`

The CLI can assist with various tasks such as adding type hints to functions. It accomplishes this by reading relevant files, analyzing them, proposing changes, and then seeking your approval before applying those edits. There is also an option to auto-accept edits for a faster workflow.

### Leveraging Persistent Memory

One of DeepAgents CLI’s most powerful features is its persistent memory system. This allows it to store and recall information across sessions, using what LangChain calls the **Memory-First Protocol**. This involves:

– Checking stored memories for relevant knowledge during research
– Searching memory files when uncertainties arise before responding
– Saving new information as it is learned

This persistent memory is especially useful for maintaining consistency and efficiency in repetitive or complex tasks. For example, you can teach the agent specific API usage patterns, which it will remember and apply in future interactions, ensuring adherence to your predefined conventions.

### Managing Multiple Agents

DeepAgents CLI also supports the creation of specialized agents tailored to different projects or roles. You can list existing agents, create new ones, or reset an agent to its default state, offering great flexibility in managing multiple projects simultaneously.

### Final Thoughts

LangChain encourages users to explore the capabilities of DeepAgents CLI and contribute to its ongoing development. This tool represents a significant advancement in AI-driven project management and research, promising to enhance productivity and streamline workflows for developers and researchers alike.

Stay tuned for more updates as DeepAgents CLI continues to evolve and improve the way we work with AI assistants.
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