LangChain
The standard open-source framework for LLM applications
LangChain is profiled here as a Prompt Management tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
LangChain is an open-source framework for building applications on language models, created by Harrison Chase in October 2022 and now maintained by LangChain Inc. It standardizes how an application calls models, tools, and retrievers across providers, and its 1.0 release in 2025 centered the library on a production agent abstraction. Python and TypeScript packages share the same core concepts, so teams can keep one architecture across stacks. The integration ecosystem covers hundreds of model providers, vector stores, and tools, each maintained as a separate installable package.
Key Capabilities:
Standard chat model interface across OpenAI, Anthropic, Google, and other providers
create_agent abstraction with middleware for production agent loops
Tool calling and structured output support
Retriever, vector store, and document loader integrations for RAG pipelines
Streaming for tokens and intermediate steps
MIT license with LangSmith and LangGraph interoperability
Alternative tools
- Portkey
AI gateway with routing, guardrails, and prompt management
- Freeplay
Prompt management, evals, and observability for product teams
- DSPy
Declarative framework for programming and optimizing LLM pipelines
- MLflow
Track experiments, manage models, and evaluate LLM applications across the full ML lifecycle
- Langtrace
Trace LLM application calls with OpenTelemetry and route data to any observability backend
- Opik by Comet
Trace, evaluate, and monitor LLM applications across the full development lifecycle