Media Summary: Sydney Runkle, an open source engineer at LangChain walks through Recursive Language Models ( We recently released `deepagents`, a Python package making it easier to build " Colin Francis, a software engineer at LangChain, walks through dynamic subagents — a new feature in

Using Rlms In Deep Agents - Detailed Analysis & Overview

Sydney Runkle, an open source engineer at LangChain walks through Recursive Language Models ( We recently released `deepagents`, a Python package making it easier to build " Colin Francis, a software engineer at LangChain, walks through dynamic subagents — a new feature in My AI courses: In the courses: AI Engineer Core Track includes LangChain AI Engineer ... Reinforcement learning is becoming central to agentic systems, but moving from RL for LLMs to RL for In this video, we will walk through how we rebuilt deepagents on top of LangChain 1.0. It will cover the basics of

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How to use RLMs in Deep Agents
Implementing deepagents: a technical walkthrough
Dynamic Subagents: 6 Patterns for Orchestrating Agents that Work at Scale
The Secret to Scalable AI Agents: Virtual Filesystems with Deep Agents
Deep Agents Tutorial: Building Hierarchical AI Systems in Python
Deep Agents or LangGraph? The LangChain agentic ecosystem explained
Complete Deep Agents Course With Langchain In 3 Hours
RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source
What are Deep Agents?
LangChain Academy New Course: Deep Agents
Build a Research Agent with Deep Agents
Rewriting Deep Agents on top of LangChain 1.0
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How to use RLMs in Deep Agents

How to use RLMs in Deep Agents

Sydney Runkle, an open source engineer at LangChain walks through Recursive Language Models (

Implementing deepagents: a technical walkthrough

Implementing deepagents: a technical walkthrough

We recently released `deepagents`, a Python package making it easier to build "

Dynamic Subagents: 6 Patterns for Orchestrating Agents that Work at Scale

Dynamic Subagents: 6 Patterns for Orchestrating Agents that Work at Scale

Colin Francis, a software engineer at LangChain, walks through dynamic subagents — a new feature in

The Secret to Scalable AI Agents: Virtual Filesystems with Deep Agents

The Secret to Scalable AI Agents: Virtual Filesystems with Deep Agents

Your AI

Deep Agents Tutorial: Building Hierarchical AI Systems in Python

Deep Agents Tutorial: Building Hierarchical AI Systems in Python

... Sub-

Deep Agents or LangGraph? The LangChain agentic ecosystem explained

Deep Agents or LangGraph? The LangChain agentic ecosystem explained

My AI courses: https://edwarddonner.com/curriculum In the courses: AI Engineer Core Track includes LangChain AI Engineer ...

Complete Deep Agents Course With Langchain In 3 Hours

Complete Deep Agents Course With Langchain In 3 Hours

github: https://github.com/krishnaik06/

RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source

RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source

Reinforcement learning is becoming central to agentic systems, but moving from RL for LLMs to RL for

What are Deep Agents?

What are Deep Agents?

Deep Agents

LangChain Academy New Course: Deep Agents

LangChain Academy New Course: Deep Agents

Prompting – provides

Build a Research Agent with Deep Agents

Build a Research Agent with Deep Agents

Deepagents is a simple, open source

Rewriting Deep Agents on top of LangChain 1.0

Rewriting Deep Agents on top of LangChain 1.0

In this video, we will walk through how we rebuilt deepagents on top of LangChain 1.0. It will cover the basics of

Introducing Managed Deep Agents | Interrupt 26

Introducing Managed Deep Agents | Interrupt 26

At LangChain's