Harrison Chase
Co-Founder & CEO, LangChain | Creator of LangGraph
Harrison Chase is the co-founder and CEO of LangChain, the widely adopted open-source framework for building context-aware reasoning applications and autonomous multi-agent systems. Prior to founding LangChain, Harrison led machine learning engineering teams focused on generative models and autonomous agents. His work centers on making agent loops predictable, auditable, and resilient through graph-based state machines and fine-grained evaluation harnesses.
Areas of focus
Professional niches
Proof of Work
LangChain Expression Language (LCEL) Architecture and Production Composition
A declarative orchestration syntax designed by Harrison Chase for composing complex LLM pipelines, featuring unified async streaming, automatic parallelization, and production fallback primitives.
Declarative abstractions introduce an learning curve compared to imperative Python scripting; debugging nested chains requires tracing tools like LangSmith.
Context: Compatible with all major model providers and vector store integrations.
View missionLangGraph: Controllable Multi-Agent Orchestration Engine
An open-source cyclic computation engine that enables multi-agent state persistence, human-in-the-loop approval breakpoints, and memory time-travel debugging.
Requires persistent state checkpointing storage (e.g. Postgres or Redis) and custom schema validation for production multi-tenant workloads.
Context: Python and TypeScript graph orchestration over modern LLM APIs.
View mission