L

LLMs

LLM Workflow Router is a stateless middleware engine designed to enforce explicit execution topology in AI systems that rely on large language models. It evaluates interaction metadata against strictly declared workflow rules and returns a terminal state.

Otōto is an MCP server for Claude Code and OpenCode. You can hand off LLM tasks (and other jobs!) to Ototo saving tokens and context.

A unified Python interface to select and use multiple Large Language Model (LLM) providers through a common API.

🛒 AI chat & product/category summaries in Amazon shopping, powered by the latest LLMs

💬 Epic prompts to turbo-charge your LLM chatbots.

Isolating local MCP servers from sensitive data

a self-hosted, locally-routed LLM stack with a default-deny security posture. your models. your machine. your terms.

Model Verification Layer is a modular system for evaluating, comparing, and validating the behavior of large language models using structured benchmarks, logic consistency checks, cross-model consensus analysis, and policy-aware constraints. It provides a transparent framework for understanding how different AI models perform under identical conditions, enabling more reliable model selection, safer deployment, and user-adaptive decision making. https://roxanneardary.com/model-verification-layer/

AI Image Renamer is a Python CLI tool that leverages generative artificial intelligence to rename your images based on what the image shows.

KiM Explorer is a two-stage RAG application for transport policy research publications from the KiM Netherlands Institute for Transport Policy Analysis. Users perform semantic search to identify relevant documents, manually select publications, then interact with an LLM using full document context rather than chunks. Built with Python/NiceGUI/OpenAI API, featuring citation generation, conversation history, filtering, and web/CLI interfaces. https://explorer.kim.rijkscloud.nl/

A web AI interface using a selected number of models and trained to teach the German language.

SynapCache is a distributed, zero-memory-loss caching system for all LLM outputs, designed to be LLM-agnostic, high-performance, and scalable. It combines TurboQuant-style compression, semantic search, edge caching, and predictive intelligence to store and retrieve outputs efficiently, ensuring instant recall and minimal resource usage. With developer-friendly SDKs, plugin support, and multi-cloud deployment, SynapCache provides a universal neural memory layer for modern AI workflows. https://roxanneardary.com/synapcache/

AI assistant for the GNOME Evolution mail client — summarize incoming messages and draft replies with your choice of LLM.

AI Governance Control Platform

GeoListing is an AGPL 3.0+ licensed modular AI platform for real estate marketing, semantic search optimization, compliance automation, and AI-powered property discovery. Built for brokerages, agents, developers, and proptech platforms, GeoListing combines listing generation, SEO and LLM optimization, legal intelligence, market analytics, and advanced publishing workflows into open semantic infrastructure for modern real estate ecosystems. https://roxanneardary.com/geolisting/

🔎 Type @brave in browser address bar to get results from Brave AI

Live : https://lumen-rouge-one.vercel.app/ Lumen is a premium AI research platform that orchestrates specialized agents (Search, Reader, Summarizer, Synthesizer, Citation, Graph) to generate comprehensive reports, stream agent progress in real-time via WebSockets, and build interactive D3-based concept graphs.

Ce projet consiste à concevoir un assistant juridique intelligent permettant à un utilisateur d'interagir en langage naturel avec un corpus documentaire basé sur le Code pénal sénégalais.

L'objectif est de mettre en œuvre une architecture Retrieval-Augmented Generation (RAG) afin de permettre au modèle de langage de s'appuyer sur des informations issues du corpus documentaire avant de générer une réponse.

Le projet explore ainsi l'utilisation des LLM, des embeddings et de la recherche sémantique pour construire une application capable de transformer des documents juridiques en une base de connaissances interrogeable.

Travaux réalisés :

Collecte et préparation du corpus juridique. Nettoyage et structuration des documents. Découpage des documents en unités adaptées à la recherche. Transformation des passages textuels en représentations vectorielles (embeddings). Mise en place d'un mécanisme de recherche sémantique. Récupération des passages les plus pertinents en fonction de la question utilisateur. Intégration des informations récupérées dans le contexte transmis au LLM. Génération de réponses contextualisées à partir des documents récupérés. Conception d'une interface permettant d'interagir avec l'assistant en langage naturel.

AI chat & search summaries in Google Search, powered by the latest LLMs

OptiRank is an open-source SEO and LLM optimization tool that analyzes existing website content and provides actionable recommendations to improve search rankings, semantic clarity, and AI discoverability. Built with a modular Python backend, React dashboard, and NLP/LLM-powered analysis layer, it helps developers and site owners optimize pages for both traditional search engines and modern AI-driven search systems. https://roxanneardary.com/optirank/