aws/bedrock-agentcore-sdk-python
Python SDK for transforming any AI agent into a production-ready application. Framework-agnostic primitives for runtime, memory, authentication, and tools with AWS-managed infrastructure.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
Loading star history...
Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #75 among AI Agents repositories tracked this week, and #75 over the last 30 days; #939 of 2,794 repositories GStars tracks this week (top 34%).
5 releases in the last 90 days, the latest 10 days ago, with 64 contributors on GitHub.
Gained 43% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Transforms local AI agents into production-ready applications using a Python SDK with AWS-managed infrastructure.
- Provides framework-agnostic primitives enabling zero infrastructure management and enterprise-grade security for scalable AI agent deployment.
- Use for deploying custom AI agents built with any framework to a secure, scalable cloud platform without managing servers.
- Use for integrating persistent memory and secure runtime features into AI agents to enhance session continuity and reliability.
- Use for adding observability, authentication, and sandboxed code execution to AI agents to meet enterprise compliance and operational needs.
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 watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
Amazon Bedrock AgentCore enables you to deploy and operate highly effective agents securely, at scale using any framework and model. With Amazon Bedrock AgentCore, developers can accelerate AI agents into production with the scale, reliability, and security, critical to real-world deployment. AgentCore provides tools and capabilities to make agents more effective and capable, purpose-built infrastructure to securely scale agents, and controls to operate trustworthy agents. Amazon Bedrock AgentCore services are composable and work with popular open-source frameworks and any model, so you don’t have to choose between open-source flexibility and enterprise-grade security and reliability.
What you get with Bedrock AgentCore:
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
156+25
Open issues
130+27
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 |
| aws/bedrock-agentcore-sdk-python | 777 | +0 | 64 | 10 days ago |
| Category median | 102.8K | +9.2K | 60 | — |
Also by aws
Other repositories from this maintainer that GStars tracks
- TypeScript12.9K stars
aws-cdk
The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
- Go7.7K stars
karpenter-provider-aws
Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.
- Go3.7K stars
aws-sdk-go-v2
AWS SDK for the Go programming language.
- Python2.9K stars
agent-toolkit-for-aws
Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS
- Rust2.0K stars
amazon-q-developer-cli
✨ Agentic chat experience in your terminal. Build applications using natural language.
Discover Repositories
Search across tracked repositories by name or description