Unabyss
Shared AI context layerOne context layer for every AI tool
Highlights
What you can do with it
- Developers keeping several coding tools in sync on one project
- Entrepreneurs pulling company progress for investor meetings
- Marketers generating copy from multi-channel information
How to use it
- 1 Connect apps such as Notion, Slack, or Gmail
- 2 Let Unabyss extract and segment the data
- 3 Access agents through MCP and set access permissions
- 4 Choose item-level or theme-level access for each agent
Who it is for
Pros
- Context updates automatically, reducing stale answers
- Permission layer gives control over sensitive data
- Pay-as-you-go billing keeps commitment low
Limitations
- Depends on the upstream apps staying connected
- Usage-based billing means costs vary with volume
- Setting granular permissions takes some learning
What Unabyss is
Unabyss is a product that provides a general context layer for AI. It gathers data from hundreds of integrations, segments it by default, and keeps it updated so the information agents see stays current. The context is delivered to agents and large language models through MCP, which means the tools you already use can share one accurate picture instead of each holding a partial copy. The problem it addresses is simple: context in AI work is usually scattered and out of date, and that leads to weak answers. Unabyss tries to fix that at the layer underneath your tools.
What you can do with it
- Connect apps such as Notion, Slack, Gmail, Claude, and ChatGPT
- Deliver segmented context to agents through MCP
- Set permissions at the item or theme level for each agent
- Exclude private or confidential information from specific agents
Who it is for
- Developers who move between several coding tools
- Entrepreneurs who manage large amounts of business information
- Marketers who generate copy that must match a brand style
What to watch out for
The value of the layer depends on the upstream apps staying connected and healthy, so a broken integration degrades the context. Usage-based billing means costs move with volume, which can surprise heavy users. Granular permissions are powerful but they take time to configure correctly, and a mistake can either leak sensitive material or block an agent from data it needs. Review your access settings periodically. When quality matters, export a small draft first to confirm the result before producing the final file. Generated suggestions are for reference only, so verify anything that affects professional judgment or important data.
FAQ
What is Unabyss?
It is a general context layer that collects, segments, and delivers up-to-date context to AI agents and large language models.
Which agents can use it?
Agents such as Claude, OpenClaw, and Perplexity can connect through MCP with permissions you control.
How does pricing work?
There is a free trial with $5 of credit, then usage-based billing you can cancel at any time while keeping your data.
Why it is free
What the official page says： free trial
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
