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Unabyss
MCP-native context layer that automatically updates for your AI
Unabyss
Founded in 2025
Freemium
Development
Access Unabyss
Free plan for individual developers; Pro starting at $29/month for larger teams and projects.
mcp
context
ai-agents
developer-tools
memory
What is Unabyss?
Unabyss resolves the problem of lost context in AI systems. It is an intelligent layer that connects your AI agents to relevant company knowledge—codebase, documentation, past decisions, runbooks—and updates automatically as things change. Native to the Model Context Protocol (MCP).
How it works
Unabyss indexes your knowledge sources (GitHub, Notion, Confluence, Jira, Slack) and creates a structured context layer accessible via MCP. When your AI agent needs context—such as "how does the authentication system work?" or "what was the decision on caching architecture?"—Unabyss retrieves the most relevant and updated information automatically.
Key features
- MCP-Native: Implements the Model Context Protocol natively for universal integration with agents.
- Self-Updating: Monitors your sources and updates the context when something changes.
- Multi-Source: Indexes GitHub, Notion, Confluence, Jira, Slack, and more.
- Structured Context: Organizes knowledge into context graphs for precise retrieval.
- Access Control: Granular permissions to control what each agent can access.
Who it is for
- Agent developers who need reliable and always up-to-date context.
- Engineering teams that want their agents to have codebase context.
- Businesses deploying AI that need context continuity across sessions.
Pricing
| Plan | Who it is for |
|---|---|
| Free | 1 project and 3 knowledge sources |
| Pro ($29/month) | Unlimited projects and sources with advanced MCP |
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