Leaderboard/Agent Orchestration/langchain-skills
Last commit on August 20, 2026·Created on January 22, 2026

langchain-ai/langchain-skills

A technical foundation for building agents with memory, orchestration, and persistent state
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#245
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In Agent Orchestration
#15
category rank
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TL;DR

This collection provides the architectural patterns required to develop Deep Agents. It focuses on the structural requirements for agent creation, from basic harness configuration to complex task planning and human-in-the-loop interrupts.

Developers can implement sophisticated agent behaviors using specialized middleware for subagent delegation, filesystem access, and composite backends that manage the transition between ephemeral state and persistent storage.

WHO IT'S FOR
AI agent / automation builders
building Deep Agents with custom harnesses
Backend / infrastructure engineers
implementing agent memory and persistent backends
Technical leads / architects
designing multi-agent orchestration and HITL workflows
Python developers
scaffolding minimal local Deep Agents in Python
Repository contents

22 skill files

Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.
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