L

LLMs

Official repository for Cent Capital: AI Money Manager. Cent Capital is an AI-powered financial wellness platform designed to provide actionable clarity. Learn more and sign up at https://www.cent.capital

Web interface

A fully documented, GPL-licensed Large Language Model, that respects your freedoms while teaching you how it works

💬 Epic prompts to turbo-charge your LLM chatbots.

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

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

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

🔎 Type @you in browser address bar to get results from You.com AI

distributed cognitive framework in Elixir/OTP.

It combines Nabla-Infinity recursive introspection (∇∞), blackboard-based shared memory, and multi-agent systems with LLM integration.

Designed for research, reasoning, training simulations, and advanced AI applications.

NeuralNiche is a modern full-stack SaaS platform that delivers weekly validated AI and micro-SaaS ideas directly to builders who want to ship fast and build profitably. Built with Next.js 15, Flask, and PostgreSQL, it features a stunning responsive landing page with glassmorphism design, smooth Framer Motion animations, and a robust waitlist system with email/WhatsApp integration. The platform uses a 12-point validation framework to analyze engagement patterns across 50+ platforms like Reddit, Twitter, and ProductHunt, delivering only the top 3-5 ideas (validation score 70+) with detailed execution playbooks, revenue models, and source links. With comprehensive form validation, real-time error handling, SEO optimization, and professional UI/UX, NeuralNiche transforms the way indie makers and entrepreneurs discover and validate their next big idea, moving them from endless scrolling to profitable building.

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

Assesses the possibility of vision-based LLMs with tool-support for interpreting UI and detect anomalies.

A local agentic testing pipeline consisting of 3 agents:

The first one creates test cases based on the test object specification

The second one executes the test cases one by one

The third one creates a test report based on the test results

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://kim-explorer.quan.cat/

C++ LLM Client Using OpenRouter API

This project demonstrates how to integrate Large Language Models (LLMs) into native C++ applications using the OpenRouter API.

Key Features

OpenRouter API Integration Connect to a wide range of AI models via OpenRouter's unified API endpoint.

C++ Implementation Written in modern C++ for portability and efficiency.

Command-Line Interface Simple text-based interface for interacting with AI models.

Easy Configuration Set your API key and preferred model in a config.json file: api_key, url, model. Example:

{ "api_key": "", "url": "https://openrouter.ai/api/v1/chat/completions", "model": "deepseek/deepseek-r1-0528-qwen3-8b:free" }

Dependencies

C++11-compliant and forward-compatible

libcurl (for HTTP requests)

nlohmann/json (for JSON parsing)

Educational Value

Learn how to integrate third-party APIs in C++

Use C++ to build a minimal conversational AI interface

Serve as a starting point for more advanced native AI applications

Simple C++ interface for the Mistral Language Models. Uses the OpenAPI interface provided by Mistral.