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ExternalSoftware Engineering
DEV Community

Isolated Agents SDK

This is a submission for the GitHub Finish-Up-A-Thon Challenge What I Built As AI agents become more autonomous—capable of executing code, scraping the web, or modifying files—running them directly on a host machine becomes a massive security risk. This SDK provides a simple, Pythonic API (using decorators) to wrap existing agents from frameworks like LangChain, CrewAI, and AutoGPT in a secure sandbox. It enforces strict network policies, resource limits, and read-only filesystems. To me, this p

devchallengegithubchallenge
DEV CommunityRead original
ExternalTechnology Trends
HN RSS Best

Chipotlai Max

Article URL: https://github.com/cyberpapiii/chipotlai-max Comments URL: https://news.ycombinator.com/item?id=48363765 Points: 369 # Comments: 65

HN RSS BestRead original
ExternalSoftware Engineering
DEV Community

ExpressoTS v4 is in preview, and the new site + docs are live.

After a full 1.4 years of work, v4 is ready for developers, AI builders, and teams shipping SaaS products on Node.js. ExpressoTS gives you a solid backend foundation: DI, interceptors, typed events, guards, testing utilities, and a lightweight core engine designed to keep services structured, maintainable, and production ready. It works for experienced developers who want clean architecture, but also for founders and builders using AI to create products and businesses without ending up with a pi

nodetypescriptexpressots
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ExternalAI
AWS Machine Learning Blog

Reference your own AWS Secrets Manager secrets in Amazon Bedrock AgentCore Identity

Today, we’re excited to announce the ability to reference a secret in AWS Secrets Manager for AgentCore Identity, so you can reference your own preconfigured secret from Secrets Manager and retain full control over how it is managed. With this ability, you can extend your organization’s existing secrets governance processes to AgentCore. You can provide an existing, preconfigured AWS Secrets Manager secret to use with your credential provider resources. You retain full control over its encryptio

Amazon Bedrock AgentCoreAWS Secrets ManagerIntermediate (200)
AWS Machine Learning BlogRead original
ExternalAI
NVIDIA Technical Blog

Run Local AI Agents with Faster Models and Multi-Node Clustering on NVIDIA DGX Spark

The rise of autonomous, long-running AI agents has introduced a new class of compute demand, namely tasks that maintain large context windows, spawn concurrent... The rise of autonomous, long-running AI agents has introduced a new class of compute demand, namely tasks that maintain large context windows, spawn concurrent subagents, and iterate continuously without cloud dependency. Security and privacy concerns are also accelerating the shift toward local agents. Developers, by running autonomou

NVIDIA Technical BlogRead original
External
AWS Machine Learning Blog

Transforming rare cancer research with Amazon Quick: Integrating biomedical databases for breakthrough discoveries

In this post, we walk through how to use Amazon Quick Research to integrate biomedical data sources for rare cancer research. The walkthrough uses pediatric sarcoma as the research domain and draws on publicly available datasets from PubMed and other open biomedical repositories. It covers the end-to-end workflow: defining a research objective, configuring data sources, reviewing the AI-generated research plan, running the investigation, and iterating on results using the revision and versioning

Amazon Quick SuiteAmazon Simple Storage Service (S3)Intermediate (200)
AWS Machine Learning BlogRead original

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