Mneme AI is an offline AI assistant tailored to help you manage and utilize your notes, documents, and books. It offers personalized responses, leveraging your saved content and providing verifiable answer trails to ensure accuracy. With the built-in text editor, you can easily write and store new notes, or add existing PDFs. Mneme AI runs entirely on your device, ensuring data privacy and accessibility even without an internet connection. Recommended for iPhone 14 or newer to ensure optimal performance, it supports the English language and falls under the productivity category.

Thunder Compute provides a cost-effective GPU cloud platform enabling users to self-host AI/ML workloads. Utilizing virtualized GPUs hosted on AWS/GCP, it significantly reduces expenses by 80%. Perfect for AI/ML development, prototyping, and inference, Thunder Compute's quick setup and powerful hardware ensure users can execute their tasks efficiently and affordably.

AimeBox provides a comprehensive, self-hosted environment for building and running AI agents. It integrates with major LLM providers, stores dialogue state and embeddings in a vector database, and supports custom tool and function calling. Users can configure memory strategies, define workflows, and extend capabilities via plugins. The platform offers a web-based dashboard, API endpoints, and CLI controls, making it easy to develop chatbots, knowledge assistants, and domain-specific digital workers without relying on third-party services.

Ollama Bot is a Node.js-based AI agent designed to run on Discord servers, leveraging the Ollama CLI and local LLM models for generating conversational responses. It establishes a persistent chat context, allowing users to maintain topic continuity over multiple messages. Administrators can define custom prompts, set model parameters, and restrict commands to specific roles. The bot supports multiple LLM models, automatically manages message queues for high throughput, and logs interactions for audit purposes. Installation involves cloning the repository, installing dependencies via npm, and configuring environment variables such as the Discord bot token and Ollama settings. Once deployed, the bot listens for slash commands, forwards queries to the Ollama model, and posts generated replies directly in Discord channels.