AI Agent Skills

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications and the underlying data engines.

Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services

AdalFlow: The library to build & auto-optimize LLM applications.

💀 Generate malicious PDF test files for testing phone-home callbacks, SSRF, XSS, NTLM credential theft, and data exfiltration in PDF viewers, converters, and web applic…

Easiest and laziest way for building multi-agent LLMs applications.

🚀Optimizer for mobile applications

Develop your applications directly in your Kubernetes Cluster

KubeLinter is a static analysis tool that checks Kubernetes YAML files and Helm charts to ensure the applications represented in them adhere to best practices.

An open source quadruped robot pet framework for developing Boston Dynamics-style four-legged robots that are perfect for STEM, coding & robotics education, IoT robotics…

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for…

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.

Search Engine Optimization (SEO) for Ruby on Rails applications.

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