yggy
Build and maintain a knowledge graph from connected sources
Tools using a shared protocol to connect AI applications with external data sources and capabilities.
Build and maintain a knowledge graph from connected sources
Run a persistent personal agent with editable local memory
Find and repair the places where AI agents fail on your website
Share company context across AI tools and teammates
Ask typed questions and receive structured model decisions
Coordinate event programmes, stakeholders, and working documents
Monitor services and confirm failures across locations
Send and verify one-time codes through a shared API
Keep notes, links and research files in a local context library
Bring people, tasks and AI agents onto a shared project canvas
Find and maintain structured records from the live web
Persistent browser profiles and APIs for agent workflows
Share and review AI-generated artifacts through browser links
Keep test plans, results and issue follow-up in one place
Test MCP servers against real coding-agent workflows
Web scraping and structured extraction tools for AI agents
Reproduce customer bug reports in clean app environments
Give an AI assistant the ability to make phone calls
Keep calendars synchronized across Google, Outlook, iCloud, and more
Keep reusable AI prompts beside the tools where you use them