AI agent frameworks and development infrastructure
LangChain
LangChain builds open-source frameworks and a commercial platform for teams developing AI agents that use data and take actions. Its namesake framework connects models and tools in customizable agent loops; LangGraph provides the runtime for custom workflows. Deep Agents packages context management, files, memory, and subagents for longer tasks. The commercial LangSmith platform lets developers trace behavior, evaluate results, deploy agents, and build them without code. It also works with agents built outside LangChain’s frameworks, giving teams a way to test and improve their systems without adopting the entire stack.
CEO Harrison Chase began LangChain as a Python side project in late 2022 and founded the company with Ankush Gola in early 2023. Its engineering approach emphasizes control over agent execution: LangGraph adapts the BSP/Pregel algorithm to support cyclic workflows and deterministic concurrency. Checkpoints save intermediate state so agents can recover from failures or pause for human approval and resume without restarting the task.
In March 2026, the company reported over one million practitioners using its open-source frameworks, more than one billion cumulative framework downloads, and over 300 enterprise customers for LangSmith. Its October 2025 financing raised $125 million at a $1.25 billion valuation, with IVP leading the round.
Topics these talks cover
4 talks
Newest first3 ingredients for building reliable enterprise agents
AI Engineer World's Fair 2025 · 20:55
Building Context-Aware Reasoning Applications with LangChain and LangSmith
AI Engineer Summit 2023 · 18:54
3 speakers at AIE
Affiliations reflect their AIE appearances, not necessarily current employment.
Company sources · checked 2026-08-27
- About LangChain: an open platform to own your intelligence
- LangChain Blog
- LangChain raises $125M to build the platform for agent engineering
- LangChain Announces Enterprise Agentic AI Platform Built with NVIDIA
- Building LangGraph: Designing an Agent Runtime from first principles
- Deep Agents vs LangChain vs LangGraph
- Managed Deep Agents is now in Public Beta



