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Unabyss

MCP-native personal context vault for keeping AI agents aligned with your work, voice, and projects.

freemiumtelemetry concernsupdated May 30, 2026

Unabyss is a personal context headquarters for AI agents. It syncs sources such as email, Slack, Notion, Drive, meetings, and professional profiles into structured context files that can be served to MCP-capable clients. The strongest angle is not generic note taking; it is permissioned, reusable context for Claude, Cursor, custom agents, and other tools that otherwise need the same background explained repeatedly.

Unabyss is a personal context layer built for the moment when every serious AI workflow uses more than one agent. Instead of forcing users to re-explain their background, projects, preferred tone, stakeholders and working context in every chat, Unabyss acts as a context headquarters that can package those details for MCP-capable tools. The product is best understood as infrastructure for agent continuity rather than another note-taking app or team wiki.

The core idea is to sync useful sources such as email, Slack, Notion, Drive, meetings and professional profiles into structured, human-readable context that an agent can request when it needs it. That makes Unabyss especially relevant for developers and operators who move between Claude, Cursor, custom MCP clients and internal agents. If the setup works well, the same personal or team context can follow the user across tools without being pasted manually into every prompt.

The tradeoff is sensitivity. A context vault touches private work data, communication history and identity-level preferences, so teams should review permissions carefully before connecting broad sources. The public site is live and the MCP endpoint appears account-gated, so pricing and access should be checked before long-term procurement claims. For aicoolies readers, Unabyss is most interesting as an early MCP-native answer to the agent memory and context-fragmentation problem, especially for teams already standardizing on MCP-compatible clients.

Pricing

Public site available; access appears early-stage/account-gated, so pricing should be treated as subject to change until a stable pricing table is published.

Platforms

Web product with a protected MCP endpoint for MCP-compatible AI clients and workflows that need reusable personal or team context.

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