langchain-community
Community contributed LangChain integrations.
Decision gist · record as of 2026-08-14
No. The package is abandoned and no longer maintained. While it has low install friction and a permissive license, the archived repository and explicit sunset notice mean new projects should avoid it. Existing users should plan migration to maintained alternatives or the core LangChain library's built-in integrations.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later (up to 3.x); integrations depend on external services or libraries being installed separately.
- Low install friction with a pure Python wheel, but the package is abandoned as of its latest release.
- The repository is archived and no longer maintained, though it remains at version 0.4.2 as of 84 days ago.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, making it legally safe to adopt for most projects.
last release 2026-05-22 (84 days) · last repo commit 2026-06-19 · 289 stars · archived
0 known vulnerabilities (OSV.dev, 2026-08-14) · 47,388,042 downloads/mo, #599 on PyPI
Alternatives
Verify before relying
pip install langchain-community
from langchain_community.llms import OpenAI
from langchain_community.tools import DuckDuckGoSearchRun
llm = OpenAI()
search = DuckDuckGoSearchRun()- Which specific integrations are included and whether they remain functional after the package's abandonment.
- Whether the 11 runtime dependencies are all required or if some are optional for specific integrations.
- Migration path or recommended replacement for users of the sunset package.
What it is and what it does
LangChain Community is a collection of third-party integrations for the LangChain framework, implementing standard interfaces from LangChain Core to connect LLM applications with external tools, data sources, and services. It sits between the core LangChain library and specific providers—LLMs, vector stores, document loaders, and other utilities—allowing developers to plug in integrations without modifying core LangChain code.
However, the package is being sunset and is no longer maintained. The repository is archived, and while the latest release (0.4.2) is recent, no further updates are planned. Existing users are directed to migrate to alternative approaches or maintained forks. The package depends on 11 runtime libraries including aiohttp, requests, sqlalchemy, and pydantic-settings, giving it moderate complexity.
Use it for
- Connecting LangChain applications to third-party LLM providers or vector databases not in the core library.
- Building retrieval-augmented generation (RAG) pipelines that integrate external data sources via community integrations.
- Prototyping LLM applications quickly using pre-built integrations for common tools and services.
- Extending LangChain with custom or community-contributed tool adapters during development.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned and no longer maintained. While it has low install friction and a permissive license, the archived repository and explicit sunset notice mean new projects should avoid it. Existing users should plan migration to maintained alternatives or the core LangChain library's built-in integrations.
Install
langchain-community on PyPI
Before you install
Low install friction with a pure Python wheel, but the package is abandoned as of its latest release. The repository is archived and no longer maintained, though it remains at version 0.4.2 as of 84 days ago.
Requires Python 3.10 or later (up to 3.x); integrations depend on external services or libraries being installed separately.
License in practice
MIT license permits commercial and private use with minimal restrictions, making it legally safe to adopt for most projects.
Quickstart
pip install langchain-community
from langchain_community.llms import OpenAI
from langchain_community.tools import DuckDuckGoSearchRun
llm = OpenAI()
search = DuckDuckGoSearchRun()Verify before relying
- Which specific integrations are included and whether they remain functional after the package's abandonment.
- Whether the 11 runtime dependencies are all required or if some are optional for specific integrations.
- Migration path or recommended replacement for users of the sunset package.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0.0,>=3.10.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 11 packagesaiohttphttpx-sselangchain-classiclangchain-corelangsmithnumpypydantic-settingspyyamlrequestssqlalchemytenacity |
| Maintenance | Abandoned 84 days since the last release |
| Last repo commit | repository archived |
| First released | |
| Downloads | 47,388,042 / month, #599 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: langchain_community-0.4.2-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “langchain integrations”
- langchain-communityProvides third-party integrations for LangChain applications,…
- langchain-classicProvides legacy LangChain chains, community integrations, indexing…
- langchain-google-communityConnects Google products and services to LangChain applications,…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also langchain-classic · langchain-openai · langchain-ollama · langchain-experimental · langchain-google-community · langchain-perplexity · lunary · langchain-cli · langchain-core · langchain