edlng/agents
An open-source collection of AI agents and skills for software development workflows.
An open-source collection of AI agents and skills for software development workflows.
My About Me Page
User documentation for KServe.
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
A blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
The SDK For Browser Agents
The AI Browser Automation Framework
An open source Valkey client library that supports Valkey, and Redis open source 6.2, 7.0 and 7.2. Valkey GLIDE is designed for reliability, optimized performance, and high-availability, for Valkey and Redis OSS based applications. GLIDE is a multi language client library, written in Rust with programming language bindings
ChatDev 2.0: Dev All through LLM-powered Multi-Agent Collaboration
Community Plugins for Genkit (OpenAI, Groq, Anthropic, Cohere, etc)
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
Build, run, manage agentic software at scale.
Official Valkey GLIDE documentation
A modular graph-based Retrieval-Augmented Generation (RAG) system
An open source Valkey client library that supports Valkey, and Redis open source 6.2, 7.0 and 7.2. Valkey GLIDE is designed for reliability, optimized performance, and high-availability, for Valkey and Redis OSS based applications. GLIDE is a multi language client library, written in Rust with programming language bindings
An iOS app built using Swift to see how people are feeling around your area.
An Application Framework for AI Engineering
A Kiro Power for creating well-structured Jira stories with user story best practices, acceptance criteria, and optional screenshots.
Validate and benchmark Valkey integration with Firecrawl. Features automated performance testing and comparative analysis against Redis.
Visualizing Sorting and Pathfinding Algorithms
30 Days of React challenge is a step by step guide to learn React in 30 days. It requires HTML, CSS, and JavaScript knowledge. You should be comfortable with JavaScript before you start to React. If you are not comfortable with JavaScript check out 30DaysOfJavaScript. This is a continuation of 30 Days Of JS. This challenge may take more than 100 days, follow your own pace.