LangChain was created to provide a standard interface for LLM application development, enabling developers to build context-aware, reasoning applications.
- Founded: October 2022
- Founders: Harrison Chase (CEO), Ankush Gola
- Company: LangChain AI
- Current Status: Active development
- Latest Version: v1.2.10 (February 10, 2026)
| Year |
Milestone |
| 2022 |
Initial release, rapid community growth |
| 2023 |
50,000+ GitHub stars, LangSmith launched, $20M Series A |
| 2024 |
100,000+ GitHub stars, LangGraph released, enterprise adoption |
| 2025 |
LangChain.js maturity, Deep Agents launched |
| 2026 |
129,000+ GitHub stars, 277k+ repositories using LangChain |
- GitHub Stars: 129k+
- Forks: 21.1k+
- Releases: 1,172+
- Contributors: 3,901+
- Used By: 277k+ repositories
- Downloads: Millions per month
LangChain started as an open-source project by Harrison Chase to simplify building applications with large language models. The key innovation was providing composable components that could be easily combined.
- LangChain AI company formed
- $20M Series A funding led by Sequoia Capital
- LangSmith launched for observability and monitoring
- Rapid ecosystem growth with 100+ integrations
- Reached 50,000+ GitHub stars
- LangGraph released for complex workflow orchestration
- LangServe for deploying chains as APIs
- Enterprise features: SSO, audit logs, compliance
- Deep Agents launched for advanced agent capabilities
- LangChain.js maturity for JavaScript/TypeScript developers
- Modular architecture:
langchain, langchain-core, langchain-community
- Provider-specific packages for optimized integrations
- Strong focus on production readiness
- Enterprise platform with SOC 2, HIPAA, GDPR compliance
| Package |
Purpose |
| langchain |
Main framework |
| langchain-core |
Base abstractions |
| langchain-community |
Community integrations |
| langchain-openai |
OpenAI integration |
| langchain-anthropic |
Anthropic integration |
| langchain-google-genai |
Google AI integration |
| Product |
Purpose |
| LangSmith |
Observability, testing, monitoring |
| LangGraph |
Complex workflow orchestration |
| LangServe |
Deploy chains as REST APIs |
| Deep Agents |
Advanced agent capabilities |
LangChain is built on these principles:
- Composability - Build complex applications from simple components
- Flexibility - Support diverse use cases and architectures
- Integration - Connect to any LLM, vector store, or tool
- Production-Ready - Enterprise-grade reliability and security
- Community-Driven - Open-source with strong community contributions
- Open Source: MIT License
- Enterprise: LangSmith platform (commercial)
- Most starred LLM framework on GitHub
- Widely adopted in enterprise and startups
- Strong presence in AI research and development
- Regular features in AI conferences and publications
- October 2023: $20M Series A (Sequoia Capital)
- Valuation: $2B+ (2024)
- Investors: Sequoia, Benchmark, Y Combinator