Colyap: voice/text AI assistant with memory, tasks, and app integration
Colyap is an AI friend you can call and text. It uses LLMs to understand natural language, remember everything about you, execute long-running tasks, and integrate with your apps. It solves the problem of needing a personal AI assistant that learns and adapts over time, with no registration required and bring-your-own-key.
Visit project ↗Related
Daimon AI: AI companion for memory, reminders, and productivity
Daimon AI is a free AI companion app that helps users with memory, reminders, and productivity. It uses LLMs to understand natural language requests, set reminders, send notifications, and keep users accountable for tasks. It solves the problem of forgetting tasks and needing a personal assistant for everyday productivity.
Hermes Agent: personal AI with memory, tools, and daily workflow integration
Hermes Agent is a personal AI agent that goes beyond chatbots by incorporating memory, tools, and daily workflow integration. It uses LLMs to remember user context, execute actions via tools, and become a persistent part of the user's routine, solving the problem of AI tools being ephemeral and disconnected from daily tasks.
WhisperAct: voice-to-action app that turns notes into reminders and tasks
WhisperAct is an iOS app that uses LLMs to understand voice input and convert it into actionable items like reminders, tasks, and calendar events. It solves the problem of forgetting to revisit captured thoughts by automatically organizing them into actions.
Conw.ai: lightweight self-learning AI with personality
Conw.ai is a 500M parameter AI model that runs locally on an iMac. It features self-learning capabilities and a distinct personality, aiming to provide a conversational AI that can adapt and engage users in a more natural way.
Billy Bassistant AI Fish: AI assistant with local file knowledge and status LED
Billy Bassistant AI Fish is a voice-enabled AI assistant that can be fed custom PDF, Excel, or text files organized into topic-specific folders. It uses LLMs to process these local files and answer questions based on them, and optionally shows a status LED indicator. It solves the problem of having a physical AI assistant that can access and reason over personal documents.
