bedrock-agentcore
An SDK for using Bedrock AgentCore
Decision gist · record as of 2026-08-14
Yes, if you are deploying agents to AWS and want to avoid infrastructure management. The low install friction, active maintenance, permissive license, and zero vulnerabilities make it a solid choice. However, the alpha status means APIs may change—pin the version and monitor releases. Not suitable if you need a stable, production-hardened API or are deploying outside AWS.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; AWS credentials and Bedrock AgentCore access configured via boto3.
- Low install friction with a pure Python wheel and standard dependencies.
- Actively maintained with recent releases; repo shows 750 stars and last commit on 2026-08-11.
License · maintenance · safety
Apache-2.0 (permissive) — Apache 2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for production deployments.
last release 2026-08-06 (8 days) · last repo commit 2026-08-11 · 750 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 8,295,897 downloads/mo, #1,638 on PyPI
Alternatives
Verify before relying
pip install bedrock-agentcore
from bedrock_agentcore import BedrockAgentCoreApp
app = BedrockAgentCoreApp()
@app.entrypoint
async def handler(request):
prompt = request.get("prompt")
agent = Agent() # your agent framework
async for event in agent.stream_async(prompt):
yield event
app.run()- Whether AG-UI and A2A protocol extras are stable or subject to breaking changes in alpha releases.
- Performance characteristics and cost model for Bedrock AgentCore runtime execution.
- Compatibility guarantees with specific agent frameworks (Strands, LangGraph, CrewAI, Autogen) across SDK versions.
What it is and what it does
Bedrock AgentCore SDK is a Python wrapper that lets you deploy AI agents to AWS Bedrock AgentCore—a managed platform for running agents at scale without provisioning servers. It abstracts away infrastructure concerns and provides a decorator-based entrypoint pattern compatible with any agent framework (Strands, LangGraph, CrewAI, Autogen, or custom code). The SDK handles session isolation, authentication, observability via OpenTelemetry, and persistent memory across agent invocations.
The package ships with support for two agent communication protocols: AG-UI (Server-Sent Events and WebSocket) and A2A (Agent-to-Agent), both installable as optional extras. It depends on boto3 for AWS API calls, pydantic for validation, starlette and uvicorn for the local development server, and websockets for real-time communication. The project is actively maintained but still in alpha, so expect API refinements.
Use it for
- Deploy a local Strands or LangGraph agent to Bedrock AgentCore without writing CloudFormation or CDK.
- Build a multi-turn conversational agent with persistent memory and session isolation across API calls.
- Integrate third-party APIs as agent tools via the Gateway service and MCP protocol.
- Run untrusted agent code safely in a sandboxed Code Interpreter environment.
- Monitor agent behavior and performance with built-in OpenTelemetry tracing and observability.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are deploying agents to AWS and want to avoid infrastructure management.
The low install friction, active maintenance, permissive license, and zero vulnerabilities make it a solid choice. However, the alpha status means APIs may change—pin the version and monitor releases. Not suitable if you need a stable, production-hardened API or are deploying outside AWS.
Install
bedrock-agentcore on PyPI
Before you install
Low install friction with a pure Python wheel and standard dependencies. Actively maintained with recent releases; repo shows 750 stars and last commit on 2026-08-11. Still in alpha status (Development Status :: 3), so expect API changes.
Requires Python 3.10 or later; AWS credentials and Bedrock AgentCore access configured via boto3.
License in practice
Apache 2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for production deployments.
Quickstart
pip install bedrock-agentcore
from bedrock_agentcore import BedrockAgentCoreApp
app = BedrockAgentCoreApp()
@app.entrypoint
async def handler(request):
prompt = request.get("prompt")
agent = Agent() # your agent framework
async for event in agent.stream_async(prompt):
yield event
app.run()Verify before relying
- Whether AG-UI and A2A protocol extras are stable or subject to breaking changes in alpha releases.
- Performance characteristics and cost model for Bedrock AgentCore runtime execution.
- Compatibility guarantees with specific agent frameworks (Strands, LangGraph, CrewAI, Autogen) across SDK versions.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesboto3botocorepydanticstarlettetyping-extensionsurllib3uvicornwebsockets |
| Maintenance | Actively maintained 8 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 8,295,897 / month, #1,638 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Libraries :: Python Modules |
Evidence: bedrock_agentcore-1.21.0-py3-none-any.whl
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See also bedrock-agentcore-starter-toolkit · nova-act · langgraph-checkpoint-aws · a2a-sdk · aws_sdk_bedrock_runtime · agent-framework-bedrock · traia-iatp · mypy-boto3-bedrock-agentcore · strands-agents-builder · livekit-plugins-aws