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Open Source

LangChain

The agent engineering platform.

Our verdict

Not reviewed yet

We have not reviewed LangChain yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About LangChain

LangChain is a Python framework for building applications with large language models through composable chains, agents, and memory abstractions. It provides tools to connect LLMs to external data sources, APIs, and reasoning loops, reducing boilerplate for common patterns like retrieval-augmented generation and multi-step workflows.

Best for

Python developers building prototype or production LLM applications that need to orchestrate multiple tools and data sources

Use cases

  • Building retrieval-augmented generation (RAG) systems that query documents before generating responses
  • Creating multi-step agent workflows that reason and call external tools or APIs
  • Prototyping LLM applications with pluggable model and data source integrations

Notes

138,234 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Pros

  • Large ecosystem of integrations with LLM providers, vector stores, and external tools
  • Well-established patterns for common tasks like document loading, chunking, and memory management
  • Active community with extensive documentation and examples

Cons

  • Steep learning curve for complex agent design and debugging chains in production
  • Frequent API changes and deprecations across versions can break existing code
  • Abstraction layers can obscure underlying LLM behavior and increase latency

Key facts

What we have checked

Latest version
langchain-openai==1.7.3 (released 26 Oct 2026)
Checked GitHub
GitHub stars
147,078
Checked github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

Stars and usage

How LangChain is growing

GitHub stars

138,234 to 147,078

stars. 12 July 2026 to 26 Sept 2026, 2 readings.

Source: github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438. Checked .

Sources

Where this comes from

  • GitHubOfficial

    Checked · Latest version

  • github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry

    Checked · GitHub stars

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

  1. Released langchain-openai==1.7.3

    Source: GitHub

  2. Released langchain-core==1.7.0

    Source: GitHub

  3. Released langchain==1.4.7

    Source: GitHub

  4. Released langchain-core==1.6.13

    Source: GitHub

  5. Released langchain-perplexity==1.4.2

    Source: GitHub

  6. Released langchain-core==1.6.12

    Source: GitHub

  7. Released langchain-core==1.6.11

    Source: GitHub

  8. Released langchain==1.4.6

    Source: GitHub

  9. Released langchain-openai==1.7.2

    Source: GitHub

  10. Released langchain==1.4.5

    Source: GitHub

  11. Released langchain-anthropic==1.7.6

    Source: GitHub

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