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.

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

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

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

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.

tangkurak4you

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.

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.

Developing Agentic AI with Opik

A complete Agentic RAG infrastructure using ZenML pipelines including ETL, Dataset generation, Embedding, Inference and Evaluation