awslabs/agentcore-samples
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #77 among AI Agents repositories tracked this week, and #77 over the last 30 days; #332 of 2,794 repositories GStars tracks this week (top 12%).
The project lists 218 contributors on GitHub.
Gained 52% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Accelerates deployment and operation of AI agents securely at scale using any framework and model.
- Eliminates heavy lifting of building and managing specialized agent infrastructure, enabling seamless integration with preferred frameworks and models.
- Use for building production-ready AI agents that require secure, scalable runtime environments across diverse AI frameworks.
- Use for integrating AI agents with real-world tools and APIs via automated gateway conversions for enhanced agent capabilities.
- Use for developing personalized AI experiences with managed memory infrastructure and customizable identity and access management.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
Welcome to the Amazon Bedrock AgentCore Samples repository!
Amazon Bedrock AgentCore is both framework-agnostic and model-agnostic, giving you the flexibility to deploy and operate advanced AI agents securely and at scale. Whether you’re building with Strands Agents, CrewAI, LangGraph, LlamaIndex, or any other framework—and running them on any Large Language Model (LLM)—Amazon Bedrock AgentCore provides the infrastructure to support them. By eliminating the undifferentiated heavy lifting of building and managing specialized agent infrastructure, Amazon Bedrock AgentCore lets you bring your preferred framework and model, and deploy without rewriting code.
This collection provides examples and tutorials to help you understand, implement, and integrate Amazon Bedrock AgentCore capabilities into your applications.
Build your first production-ready AI agent with Amazon Bedrock AgentCore. We’ll take you beyond prototyping and show you how to productionize your first agentic AI application using Amazon Bedrock AgentCore.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
1.4K+126
Open issues
549+195
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Oct 18, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| morluto/rea | 366.3K | +106.3K | 60 | 4 days ago |
| stablyai/orca | 102.8K | +9.4K | 60 | 1 day ago |
| DietrichGebert/ponytail | 173.5K | +9.2K | 75 | 6 days ago |
| Leonxlnx/taste-skill | 101.1K | +4.0K | 75 | 2 days ago |
| ruvnet/ruflo | 78.5K | +3.7K | 40 | today |
| awslabs/agentcore-samples | 3.5K | +0 | 45 | — |
| Category median | 102.8K | +9.2K | 60 | — |
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