anyways, try out deepagents https://github.com/langchain-ai/deepagents

deepagents (github.com/langchain-ai/deepagents) is an open-source, MIT-licensed agent harness built on LangChain and LangGraph, equipped with built-in task planning, a filesystem backend, subagent spawning, and long-term memory for handling complex, multi-step agentic tasks. It exposes a simple create_deep_agent() API that returns a compiled LangGraph graph, making it provider-agnostic and compatible with any LLM that supports tool calling. The repository also includes a CLI tool (deepagents-cli) — a terminal-based coding agent similar to Claude Code or Cursor — as well as an ACP integration for use in code editors like Zed.

🚀Deep Agents deploy Today we’re launching Deep Agents deploy in beta. Deep Agents deploy is the fastest way to deploy a model agnostic, ope…
Deep Agents deploy gets you: - Deep Agents harness - Sandbox of your choice (@daytonaio , @modal , @RunloopDev ) - Short and long term memor…
The easiest way to deploy your agent. One command, instant deployment: deepagents deploy
here's how we're improving our base harness, you can apply these same lessons to hill-climbing for your application-specific harness!
Another banger article from the @LangChain team! Harness evolution combined with specialist local models will be the way forward undoubtedly…
im excited about agent harnesses because i think are the first stable agent abstractions we can build on top (which is why we're investing s…

Source: agents

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