Unabyss

Unabyss positions itself as a universal context layer for AI tools, turning scattered notes, docs, emails, and transcripts into a single, queryable context headquarter. It connects to apps such as Notion, Slack, GitHub, Gmail, Google Drive, calendars, meeting tools, and more, then uses context engineering to segment, score, and gate information before it reaches language models. Through MCP connectivity, Unabyss lets agents and IDE copilots consistently access the same structured, self-updating knowledge instead of living in their own silos. The result is AI that responds with up-to-date.

What is Unabyss? Unabyss positions itself as a universal context layer for AI tools, turning scattered notes, docs, emails, and transcripts into a single, queryable context headquarter. It connects to apps such as Notion, Slack, GitHub, Gmail, Google Drive, calendars, meeting tools, and more, then uses context engineering to segment, score, and gate information before it reaches language models. Through MCP connectivity, Unabyss lets agents and IDE copilots consistently access the same structured, self-updating knowledge instead of living in their own silos. The result is AI that responds with up-to-date information, understands both personal and professional context, and stays on-brand without constant prompt babysitting. Key Features: Universal Context Hub: Aggregates data from productivity, communication, code, and storage tools into a single indexed store ready for AI retrieval. MCP-based Agent Access: Exposes that context through MCP to agents and tools such as Claude, Cursor, Gemini, Perplexity, VS Code, and ChatGPT with a single install command. Context Segmentation Engine: Automatically tags every item by topic, confidence, sensitivity, source application, and personal versus professional axis for highly targeted retrieval.