LangChain, Inc.
LangChain provides an open agent engineering platform and open-source frameworks for building, controlling, and owning agent intelligence. Its mission is to enable every company to own its intelligence by helping teams build, test, deploy, monitor, and improve reliable AI agents.
At a Glance
- AI-native startups
- Software and technology companies
- Global enterprises
- Developers and engineering teams
- +8 more
AI Tools by LangChain, Inc.
(10)
AgentEvals
Agent Trajectory Evaluation Library
OpenEvals
LLM Evaluators for Python and TypeScript
Open SWE
Open Source Coding Agent Framework
OpenWiki
AI Docs Generator for Coding Agents
langgraph-bigtool
LangGraph Large Tool Registry Library
LangGraph
Stateful Agent Runtime
DeepAgents
Open Source Agentic Research Library
LangGraph Swarm
Swarm Multi-Agent Library for LangGraph
LangMem
AI Agent Memory SDK for Python
LangChain
AI Agent Engineering Platform
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Latest News
LangChain raises $125M at a $1.25B valuation; announces LangChain and LangGraph 1.0, Insights Agent, and no-code Agent Builder preview.
New in LangSmith: Engine v2, Managed Deep Agents, Fine-Tuning, and more.
Introducing LangChain Labs.
October 2026 LangChain newsletter highlights current product and agent-evaluation work.
Products & Services
Open-source framework and reusable components/integrations for quickly building LLM applications and agents with any model provider.
Open-source low-level orchestration framework/runtime for controllable, stateful agents, including memory, human-in-the-loop workflows, and durable execution for long-running tasks.
Commercial agent engineering platform for observability, evaluation, deployment, and continuous improvement of agents, whether built with LangChain or other frameworks.
Agent harness for long-running, complex autonomous tasks, with planning, subagents, and file-system capabilities.
Market Position
LangChain positions itself as an open, model-provider-neutral agent engineering platform spanning open-source development frameworks and a commercial lifecycle platform. It competes with agent frameworks and orchestration tools such as LlamaIndex, Semantic Kernel, CrewAI, AutoGen, and Haystack, and with observability/evaluation platforms such as Langfuse, Arize, Weights & Biases, and Braintrust; its differentiation is the combination of widely adopted OSS frameworks, LangGraph's controllable runtime, and LangSmith's integrated observability, evaluation, deployment, and improvement loop.
Leadership
Founders
Harrison Chase
Co-founder and CEO; previously a machine-learning engineer at Robust Intelligence and earlier at Kensho. He created the original LangChain Python side project.
Ankush Gola
Co-founder and CTO; previously Head of Engineering at Unfold and educated at Princeton University.
Executive Team
Harrison Chase
Co-founder and Chief Executive Officer
Creator of LangChain; previously a machine-learning engineer at Robust Intelligence and Kensho.
Ankush Gola
Co-founder and Chief Technology Officer
Previously Head of Engineering at Unfold; Princeton University alumnus.
Board of Directors
Founding Story
LangChain began as Harrison Chase's personal Python side project in late 2022, initially without a company or grand plan. ChatGPT's launch drove rapid developer adoption, and Chase teamed up with Ankush Gola to form the company in early 2023 and turn the project into infrastructure for applications and agents that connect language models to data, APIs, and tools.
Business Model
Revenue Model
Open-source frameworks are freely available; LangChain monetizes primarily through usage-based commercial LangSmith services and per-seat subscriptions, with enterprise contracts for self-hosted/hybrid deployment, security, support, and custom usage.
Pricing Tiers
One seat, up to 5,000 base traces per month, community support.
Up to 10,000 base traces per month, unlimited seats, Deployment and Engine access.
Self-hosted and hybrid deployment, custom SSO/ABAC/RBAC, support SLA, and custom seats/workspaces.
Target Markets
- AI-native startups
- Software and technology companies
- Global enterprises
- Developers and engineering teams
- Customer support and operations
- Financial services
- Building production AI agents
- Conversational applications and chat automation
- Retrieval-augmented generation and question answering
- Tool/API and database-connected workflows
- Research, summarization, and search
- Customer support and internal support agents
- Replit
- Clay
- Harvey
- Rippling