When Philosophy meets AI

An MCP Multimodal AI Agent with eyes and ears!

🐙 A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns.

Python command-line tool for interacting with AI models through the OpenRouter API/Cloudflare AI Gateway, or local self-hosted Ollama. Optionally support Microsoft LLMLingua prompt token compression

🚀 Production-ready AI agents framework. Fork → Deploy → Ship in minutes. Multi-agent patterns, FastAPI backend, observability with Opik. Built with Google ADK or Langgraph. MIT License.

AI Agent built with Google ADK that leverages Google Maps MCP Server to answer real-world location questions with tool usage and traceable execution via Opik.

A one-stop repository of resources for AI Product Managers and Engineers. Contains code for Evals, prompt templates, Claude skills, and more!

Building Production-Ready AI Agent Evaluation with Opik MCP Server on AWS AgentCore

🔐 Curated OSINT toolkit for cybersecurity investigations, threat analysis, and public data mapping

Community-maintained PHP SDK for Opik - an LLM observability and evaluation platform.

Aaron AI is an AI-powered financial resolution agent designed to help people actually achieve their New Year financial goals, not just track them.

In this we implement opik llm evaluation metrics on medical data analyzer

Where AI disagrees before users suffer

FretCoach : AI-Powered Adaptive Guitar Training

Dex is a production-grade personal AI assistant built on the Model Context Protocol (MCP) architecture. Unlike generic chatbots, Dex is designed to be a persistent, memory-aware assistant.

Project Vyasa is a local-first research execution framework for DGX Spark that helps researchers, journal authors, and domain experts turn unstructured documents into defensible, evidence-bound manuscripts for high-stakes, long-running inquiry. It keeps humans in control of judgment while AI handles extracting, validating, and governing evidence.

tangkurak4you

This project provides a collection of tools and examples for working with Large Language Models (LLMs), focusing on Groq's fast inference capabilities and integration with the Opik LLM evaluation and tracing platform.

An autonomous AI Agent that uses Computer Vision and LLM reasoning to monitor focus, "shame" distractions, and ensure your 2026 productivity resolutions actually stick.

MLOps-driven LLM RAG assistant that learns your writing style from your online content, with an FTI pipeline (Features → Training → Inference) , RAG for context grounding, and ZenML orchestration.