langchain-aws
An integration package connecting AWS and LangChain
Decision gist · record as of 2026-08-14
Yes, if you are building LangChain applications that need to interact with AWS services. The package is actively maintained, has no known vulnerabilities, and carries a permissive MIT license. Install friction is low. Only install if you actually need AWS integrations.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10 and AWS credentials configured to connect with AWS services.
- Low install friction with a pure-Python wheel distribution.
- Active maintenance with latest release on 2026-08-14 and 340 repository stars.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, suitable for most deployment scenarios.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 340 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 13,452,869 downloads/mo, #1,281 on PyPI
Alternatives
Verify before relying
pip install -U langchain-aws
import boto3
from langchain_aws import SomeAWSIntegration
# Requires AWS credentials configured- Which specific AWS services are supported by this integration package
- Whether AWS credentials must be configured before importing or only before making service calls
- What langchain-core version compatibility range is required
What it is and what it does
langchain-aws is an integration layer that bridges LangChain applications with AWS services. It builds on boto3, langchain-core, numpy, and pydantic to enable language model workflows to interact with AWS resources. The package assumes you have AWS credentials configured and provides the connectors needed to use AWS services within LangChain applications.
This is a focused integration package, not a general-purpose library—it exists to wire LangChain's abstractions to AWS APIs. If you're building a language model application that needs to call AWS services, this package provides the glue code to do so within LangChain's framework.
Use it for
- Build applications using LangChain with AWS as the underlying service provider
- Create document processing pipelines that retrieve data from AWS and process it with LangChain
- Integrate language model workflows with AWS services for stateful applications
- Deploy LangChain applications on AWS infrastructure with native service bindings
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building LangChain applications that need to interact with AWS services.
The package is actively maintained, has no known vulnerabilities, and carries a permissive MIT license. Install friction is low. Only install if you actually need AWS integrations.
Install
langchain-aws on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance with latest release on 2026-08-14 and 340 repository stars. Requires Python >=3.10.
Requires Python >=3.10 and AWS credentials configured to connect with AWS services.
License in practice
MIT license permits commercial and private use with minimal restrictions, suitable for most deployment scenarios.
Quickstart
pip install -U langchain-aws
import boto3
from langchain_aws import SomeAWSIntegration
# Requires AWS credentials configuredVerify before relying
- Which specific AWS services are supported by this integration package
- Whether AWS credentials must be configured before importing or only before making service calls
- What langchain-core version compatibility range is required
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesboto3langchain-corenumpypydantic |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 13,452,869 / month, #1,281 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: langchain_aws-1.7.1-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 aws integration”
- langchain-awsConnects LangChain applications to AWS services through boto3 and AWS…
- mcp-proxy-for-awsBridges MCP clients to AWS-hosted MCP servers using AWS IAM…
- uipath-langchain-clientProvides LangChain-compatible chat models and embeddings that route…
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-google-calendar-tools · langchain-xai · langchain-openai · langchain-ollama · langchain-deepseek · langchain-google-community · langchain-mistralai · langchain-docling · langchain-openrouter · langchain-databricks