Deep Agents
Deep Agents is a framework that combines deep learning models with agentic behavior for tasks requiring complex pattern recognition and learned decision-making. It enables agents to use trained neural networks for perception, planning, and action selection, bridging traditional RL/DL approaches with modern LLM-based agents.
- Radar Signals4
Radar Signals
4 linked signals.
- LangChain Academy Course update: Intro to Deep Agents ✅ Modules on dynamic and async subagents ✅ Course tutor skill which turns your coding agent into a personal tutor ✅ Capstone projects + practice exercises ✅ Support fLangChain · 3d
- Austin Berke, Lead AI Product Engineer at @Harmonic recently shared how they rebuilt Scout on Deep Agents, quadrupling retention along the way. Watch the full fireside chat at https://youtu.be/pGdZBK___jMLangChain · 3d
- Managed Deep Agents is now in public beta. Go from prototype to production scale without managing the underlying infrastructure yourself. Built for developers who want to increase product velocity with control over modelLangChain · 3d
- The most common question we get about our open source is when to reach for each of Deep Agents, LangChain, and LangGraph @sydneyrunkle just wrote up a guide on what each package offers, and when to reach for each, with eLangChain · 4d