Unabyss

About Unabyss

Unabyss is a MCP-native, self-updating context layer that extracts, structures, and maintains personal and organizational context from your apps so multiple AI tools can access the same source of truth. It aims to keep identity, preferences, and knowledge in a single, user-owned vault with granular controls over what each tool can see.

Review

Unabyss addresses the common pain of repeating the same background information across different AI platforms by centralizing context and making it portable via MCP and one-click exports. The product launched recently and focuses on quick setup, automatic syncing, and fine-grained sharing rules for integrations such as chat assistants and agents.

Key Features

• Auto-extraction from connected sources (LinkedIn, Notion, Gmail, Slack, GitHub, etc.) in under 90 seconds.
• Structured, human-readable context files (persona.md, voice.md, company.md) that are user-owned and editable.
• Granular permissions for sharing specific files or fields with individual tools.
• MCP server compatibility for tools like Claude, Cursor, and other MCP-capable agents; one-click exports for tasks like meeting prep or bios.
• Continuous syncing with source-change detection, refresh schedules, and versioning to keep context current.

Pricing and Value

At launch there is a free option available, and the product uses a subscription billing system powered by Stripe for paid plans. The primary value proposition is time saved and fewer repetitive setup steps across multiple AI tools: once your context is connected, agents can pull only the relevant pieces automatically, reducing manual copy-paste and repeated explanations.

Pros

• Significantly reduces onboarding repetition by making context portable across tools.
• Fast initial extraction and clear file-based structure make it easy to inspect and correct context.
• Fine-grained sharing controls put the user in charge of what each AI can access.
• Token efficiency gains for large knowledge bases because MCP returns only relevant segments.
• Options to remove or purge data, with encrypted cloud storage and account deletion features.

Cons

• Despite automatic refreshes and change detection, subtle long-term shifts in how you present yourself can be harder to detect without manual review.
• Using MCP introduces some additional latency compared with embedding context directly in a single tool.
• Some users may have questions about cloud-based storage and long-term data lifecycle even with deletion and encryption options available.

Unabyss is best for founders, operators, and anyone who regularly uses multiple AI assistants and wants a single, shareable source of truth for identity and knowledge. It fits workflows where reducing repetitive context setup and improving token efficiency matter, while teams with strict on-premises policies should evaluate the storage and privacy options before adoption.

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