When Philosophy meets AI

An MCP Multimodal AI Agent with eyes and ears!

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

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.

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

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

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

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

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

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.

tangkurak4you

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

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.

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.

Reproducibility code for “Evaluating the Performance of Large Language Models in Taxonomic Classification of Questions in Verbal Protocols of Design” (AI EDAM submission; under review). [WIP]

DiaSide: An AI-powered agentic coach for diabetes management, featuring clinical-grade observability with Opik.

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.

MIT 6.S191 Lab 3 teaches you how to fine-tune large language models like Gemma 2B, structure prompts, and evaluate outputs using tools like Opik and LFM-40B.

ProductivityAI is an intelligent productivity assistant that doesn't just remind you about tasks it understands when you work best and recommends optimal scheduling based on your unique patterns.

An agentic learning companion that helps developers resume progress after procrastination by selecting a single, minimal next action from a bounded task space. Focused on re-entry, not productivity, with deterministic rules and explainable AI decisions evaluated via Comet Opik.