#deep-agents

토큰 스트림에서 에이전트 스트림으로

From Token Streams to Agent Streams

Move beyond token streaming. Learn how the latest streaming primitives in Deep Agents, LangChain, and LangGraph enable typed events, scoped subscriptions, subagent visibility, mult…

딥 에이전트의 인터프리터: 도구 호출과 샌드박스 사이의 코드

Interpreters in Deep Agents: Code Between Tool Calls and Sandboxes

Deep Agents now supports interpreters: small embedded runtimes where agents write code to coordinate tools, hold working state, and decide what enters model context.

다양한 모델에 맞춰 딥 에이전트 조정하기

Tuning Deep Agents to Work Well with Different Models

Deep Agents was previously designed in a generic way to work well across model families. Today we’re adding model-specific profiles to adjust prompts, tools, and middleware. We shi…

관리형 Deep 에이전트: 프로덕션 Deep 에이전트를 가장 빠르게 배포하는 방법

Managed Deep Agents: the fastest way to ship a production deep agent

Run deep agents in production with durable execution, sandboxes, tool access, and LangSmith observability, without building the runtime yourself. Now in private beta

딥 에이전트, LangSmith, 병렬 처리를 사용한 회사 실사 에이전트 구축

https://www.langchain.com/blog/building-a-company-due-diligence-agent-with-deep-agents-langsmith-and-parallel

Open SWE: 내부 코딩 에이전트를 위한 오픈소스 프레임워크

Open SWE: An Open-Source Framework for Internal Coding Agents

Built on Deep Agents and LangGraph, Open SWE provides the core architectural components for internal coding agents.