bedrock-agentcore-starter-toolkit
A starter toolkit for using Bedrock AgentCore
Decision gist · record as of 2026-08-14
No, not for new projects. The package is explicitly deprecated in its own documentation in favor of the AgentCore CLI. Install only if maintaining or extending an existing Python-based agent project already using this toolkit. For new work, use the AgentCore CLI instead, which offers broader framework support and better local development experience.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 access must be configured.
- Package is deprecated; new projects should use the AgentCore CLI instead.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions. No license-based barriers to adoption.
last release 2026-07-28 (17 days) · last repo commit 2026-08-10 · 503 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,438,957 downloads/mo, #3,895 on PyPI
Alternatives
Verify before relying
pip install bedrock-agentcore-starter-toolkit
from bedrock_agentcore_starter_toolkit import create_agent
agent = create_agent(name="my_agent")- Specific CLI commands and their signatures are not detailed in the fact sheet.
- Whether the toolkit supports all frameworks mentioned (Strands, LangGraph, LangChain, etc.) or only a subset.
- Runtime behavior and performance characteristics under production workloads.
What it is and what it does
The Bedrock AgentCore Starter Toolkit is a Python package that provides scaffolding and development tools for building AI agents on Amazon Bedrock. It includes a CLI for project creation, a Python SDK for agent development, and integration with AWS services like boto3 for credential management. The toolkit wraps Bedrock AgentCore services—Runtime, Memory, Gateway, Code Interpreter, Browser, Observability, Evaluation, and Identity—into a cohesive development experience.
However, the package is explicitly deprecated. AWS now recommends the AgentCore CLI (a Node.js package) as the primary way to create and deploy agents, citing broader framework support, local development with hot reload, and more comprehensive tooling. Existing Python-based workflows can continue using this toolkit, but new projects should migrate to the CLI. The package remains in active maintenance but is positioned as a legacy option for teams already invested in Python-based agent development.
Use it for
- Migrating or maintaining existing Python-based Bedrock agent projects that were started with this toolkit.
- Rapid prototyping of AI agents when Python is the preferred development language and AWS Bedrock is the target platform.
- Integrating agent scaffolding into Python CI/CD pipelines or automation workflows.
- Local development and testing of agents before deployment to Amazon Bedrock AgentCore Runtime.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No, not for new projects.
The package is explicitly deprecated in its own documentation in favor of the AgentCore CLI. Install only if maintaining or extending an existing Python-based agent project already using this toolkit. For new work, use the AgentCore CLI instead, which offers broader framework support and better local development experience.
Install
bedrock-agentcore-starter-toolkit on PyPI
Before you install
Low friction installation with 23 runtime dependencies. Active maintenance as of 2026-08-10, but the package is explicitly deprecated in favor of the AgentCore CLI (@aws/agentcore npm package), which is now the recommended approach for new projects.
Requires Python 3.10 or later. AWS credentials and Bedrock access must be configured. Package is deprecated; new projects should use the AgentCore CLI instead.
License in practice
Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions. No license-based barriers to adoption.
Quickstart
pip install bedrock-agentcore-starter-toolkit
from bedrock_agentcore_starter_toolkit import create_agent
agent = create_agent(name="my_agent")Verify before relying
- Specific CLI commands and their signatures are not detailed in the fact sheet.
- Whether the toolkit supports all frameworks mentioned (Strands, LangGraph, LangChain, etc.) or only a subset.
- Runtime behavior and performance characteristics under production workloads.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 23 packagesautopep8bedrock-agentcoreboto3botocoredocstring-parserhttpxjinja2openapi-spec-validatorpranceprompt-toolkitpy-openapi-schema-to-json-schemapydanticpyyamlquestionaryrequestsrichruamel-yamlstarlettetomltypertyping-extensionsurllib3uvicorn |
| Maintenance | Actively maintained 17 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,438,957 / month, #3,895 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_starter_toolkit-0.3.11-py3-none-any.whl
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See also aws-bedrock-token-generator · bedrock-agentcore · aws_sdk_bedrock_runtime · agent-framework-bedrock · strands-agents-builder · agent-governance-toolkit-cli · nova-act · codeguru-profiler-agent · livekit-plugins-aws · mypy-boto3-bedrock-agentcore