Today we're excited to launch Langmith fetch. Langmith fetch is a command line util for pulling data from Langmith into your local file system. We think this is super useful for giving coding agents like cloud code and codecs or deep agent CLI the ability to pull down Langmith data.Why is this useful. Well, a lot of agents that are getting traced to Linksmith are starting to become longer and longer and have many tool calls and larger prompts. And analyzing and debugging all of that data by hand and by eye ...

Core Functionality - Deep agent CLI is introduced as an open-source coding tool built on the deep agents package, designed for writing, editing, and understanding code [1] - A key feature is its built-in memory, enabling it to learn and save memory profiles as different agents for access and portability across projects [1] - The CLI can be augmented with web search capabilities using a Tavilla API key [3] - It operates in manual accept mode for potentially dangerous actions like writing to files or running bash commands, with an option for auto-accept mode [4] Memory System - The CLI leverages a memory system where each agent has an associated memory that can be accessed and edited [9][10] - Agents can write to and update their memory, allowing them to accumulate context over time and reference it in the future [15][16] - Users can create specific agents with specialized knowledge and store their memory for later use in different contexts [10][11] - The memory is stored in a dedicated directory, allowing the agent to retain information across different sessions and locations [12][13] Usage and Application - Deep agent CLI can be used for both coding and non-coding tasks, allowing agents to evolve and learn alongside the user [16] - The tool is installed via `pip install deep agent CLI` and requires either an OpenAI or Anthropic API key [2][17] - The CLI allows users to interact with the agent, ask questions, and instruct it to perform tasks such as adding content to a readme file [6][7]