Built something? We create video reels & spotlights for GitHub projects.Promote your project →
awslabs
Home / Python / agentcore-samples

awslabs/agentcore-samples

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

Python ◇ agent Apache-2.0
★3.4KSTARS
⑂1.3KFORKS
!475ISSUES
🏆#2,110GLOBAL RANK
🔥2DAYS TRENDING
🚀
Maintainer Growth Kit for agentcore-samples

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

Star History

Continuous Observations
Interactive star growth chart for awslabs/agentcore-samples
CSV
⭐ VIRAL README KIT

Add Live Star History & Verified Badges to README.md

Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.

Open README on GitHub ↗
Option 1: Interactive Star History Chart Dynamic SVG

Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.

awslabs/agentcore-samples Star History Preview
markdown
[![Star History Chart](https://githubrepo.cloud/api/badge/chart/awslabs/agentcore-samples.svg?theme=dark)](https://githubrepo.cloud/repo/awslabs/agentcore-samples?utm_source=readme_chart)
Direct SVG Link ↗
Option 2: Verified Shields Badges Shields.io Style

Compact Shields-style badges for your README header. Shows real-time stars and global ranking.

Featured badge Stars badge Rank badge
markdown (badge trio)
[![Featured on GitHubRepo.cloud](https://githubrepo.cloud/badge/awslabs/agentcore-samples.svg?metric=featured)](https://githubrepo.cloud/repo/awslabs/agentcore-samples?utm_source=readme_badge) [![GitHubRepo Stars](https://githubrepo.cloud/badge/awslabs/agentcore-samples.svg?metric=stars)](https://githubrepo.cloud/repo/awslabs/agentcore-samples?utm_source=readme_badge) [![Global Rank](https://githubrepo.cloud/badge/awslabs/agentcore-samples.svg?metric=rank)](https://githubrepo.cloud/repo/awslabs/agentcore-samples?utm_source=readme_badge)

Momentum

+86

STARS · LAST 30 DAYS

3

PER DAY

#316

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+21+86+270
Per day333
Forks gained+7+27+67

agentcore-samples gained 86 stars in the last 30 days, about 3 a day, and now has 3.4K. It is about 1 year old and has averaged roughly 3.4K stars a year. It ranks #316 among Python repositories and #2,110 across all languages on GitHubRepo.

Trending Record

agentcore-samples has maintained a continuous presence across global trending indexes, peaking at #3352. Below is the 30-day activity profile:

💡 Overview

agentcore-samples is an open-source project written in Python: Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agent, agentic-ai, agents. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install agentcore-samples

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

agentcore-samples coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with agentcore-samples.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install agentcore-samples using your package manager: `pip install agentcore-samples`

2

Initialize your project workspace or configuration file for agentcore-samples.

3

Import agentcore-samples into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `agentcore-samples --help` to verify successful setup.

👍 Strengths

Active community backing with 3,425 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

P
public-apis/public-apis ★ 485.1K Python

A collective list of free APIs

Compare ↗
F

:books: Freely available programming books

Compare ↗
P

Curated list of project-based tutorials

Compare ↗
H
NousResearch/hermes-agent ★ 250.4K Python

The agent that grows with you

Compare ↗

👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

awslabs/agentcore-samples is currently ranked #2,110 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#2,103 Canop/bacon Rust ★ 3.4K Compare ↗
#2,106 joreilly/PeopleInSpace Kotlin ★ 3.4K Compare ↗
#2,107 swiftlang/swift-markdown Swift ★ 3.4K Compare ↗
#2,108 dtolnay/syn Rust ★ 3.4K Compare ↗
#2,109 travisjeffery/timecop Ruby ★ 3.4K Compare ↗
#2,110 awslabs/agentcore-samples This Project Python ★ 3.4K
#2,111 Belphemur/SoundSwitch C# ★ 3.4K Compare ↗
#2,112 laravel/passport PHP ★ 3.4K Compare ↗
#2,113 stevencohn/OneMore C# ★ 3.4K Compare ↗
#2,114 lakehq/sail Rust ★ 3.4K Compare ↗
#2,115 coveragepy/coveragepy Python ★ 3.4K Compare ↗

Frequently Asked Questions

What does agentcore-samples do? +

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

What language is agentcore-samples written in? +

The primary language is Python. Topics include: agent, agentic-ai, agents, authentication, bedrock.

Is agentcore-samples actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 475 open issues being tracked.

How many stars does agentcore-samples have? +

agentcore-samples has 3,425 stars and 1,344 forks on GitHub.

How does agentcore-samples rank among GitHub repositories? +

With 3,425 stars, awslabs/agentcore-samples is ranked #2,110 globally across all repositories tracked on GitHubRepo and #316 among Python projects.

What license is agentcore-samples distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.