# LangChain, Inc.
*Also known as LangChain*

- Website: https://www.langchain.com
- Location: San Francisco, CA, United States
- Agent profile: https://boon.ai/agents/langchain-com

> LangChain helps companies own their AI agent intelligence through open-source frameworks and enterprise-grade tooling.

LangChain is a company that provides an open, model-agnostic platform and open source frameworks to help teams build, control, and own their AI agent intelligence. The organization emphasizes enabling enterprises to develop, observe, evaluate, and govern agent-powered workflows while aligning AI with business needs and governance. It highlights a mission to empower every company to own their intelligence and supports a broad ecosystem of tools and community-driven projects.

**Mission:** Our mission is to enable every company to own their intelligence.

## Products & Services

### [LangSmith Platform](https://www.langchain.com/langsmith-platform)
*Platform*
Streamline AI agent development with observability, evaluation, and deployment solutions.

- **LangSmith Deployment** — Deploy Agents Enterprise-Wide
- **LangSmith Engine** — Improve Agent Performance Proactively
- **LangSmith Evaluation** — Continuously Improve Agent Quality
- **LangSmith Observability** — Gain Full Visibility into Agent Behavior
- **LangSmith Fleet** — Build No-Code Agents
- **LangSmith Sandboxes** — Run Untrusted Code Safely

### [Deep Agents](https://www.langchain.com/deep-agents)
*Platform*
Enables complex, long-running tasks with autonomous agents for seamless workflows.

- **Knowledge Persistence** — Retain Knowledge
- **Long-Term Memory** — Knowledge Storage
- **Task Decomposition and Planning** — Adaptive Task Handling
- **Context Management** — Control Data Flow
- **LangSmith Integration** — Seamless Monitoring
- **Parallel Subagents** — Execute Independently
- **dcode Integration** — Custom Coding Agent
- **Model Neutrality and Configurability** — Flexible Model Use

### [LangChain](https://www.langchain.com/langchain)
*Platform*
Empower teams to create versatile agent-powered applications effortlessly and flexibly.

- **Model Provider Compatibility** — Support Any Model Provider
- **Open-Source Framework** — Leverage Open-Source Technologies
- **Custom Agent Workflows** — Design Custom Agent Workflows
- **Built-in Persistence and Context Management** — Ensure Contextual Continuity

### [LangGraph](https://www.langchain.com/langgraph)
*Platform*
Empower your agents with low-level control and orchestration for sophisticated workflows.

- **Low-Level Control** — Build Complex Solutions
- **Human-in-the-Loop** — Enhance Decision-Making
- **Framework Interoperability** — Integrate Seamlessly
- **Memory Persistence** — Enable Rich Interactions
- **Streaming Support** — Show Real-Time Reasoning

### [Deep Agents Code](https://www.langchain.com/dcode)
*Product*
Empower coding tasks with customized models and execution governance.

- **BYO Model Support** — Customize Model Execution
- **Execution Governance** — Ensure Code Safety
- **Sandboxed Code Execution** — Execute Code Securely
- **Harness Customization** — Tailor Agent Functionality
- **Context Management** — Enhance Code Learning
- **Open-Source** — Access and Modify Code

## Market Segments

- **Agent orchestration and workflow automation** (market size $11.0B, CAGR 22.3%): Design, configure, coordinate, and execute AI agents and automated workflows that perform multi-step tasks, integrate with enterprise applications, and manage handoffs across teams.
- **Agent development frameworks** (market size $14.6B, CAGR 35.36%): Frameworks and SDKs for building customizable, model-agnostic agent-powered applications and coding agents with multi-model support and developer extensibility.
- **AI model management and observability** (market size $3.0B, CAGR 25%): Centralized dashboards to manage multiple models and agents, monitor usage and performance, and provide analytics, user management, and governance controls.
- **Ephemeral development sandboxes** (market size $1.0B, CAGR 18%): Disposable, isolated microVM-based environments that enable safe execution, testing, and automation of development tasks while containing risk and enabling quick teardown and reprovisioning.
- **Semantic graph and persistent memory platforms** (market size $3.5B, CAGR 25%): Systems that provide a shared semantic graph or persistent memory layer to maintain context, state, and governance across an agent fleet, improving coherence, personalization, and auditability.