Machine-facing
documentation.
A structured overview of ZentraOS for AI agents, autonomous systems, and retrieval pipelines. Concepts, interfaces, and machine-readable resources in one place.
Overview
What ZentraOS is
ZentraOS is a contextual runtime layer that turns fragmented organizational knowledge into permission-aware operational context for AI agents, workflows, and teams.
Retrieval model
Context is compiled from connected organizational systems and surfaced through permission-aware retrieval. Access boundaries are evaluated before any context is returned.
Permissions
Every retrieval request is filtered by organizational access rules. Identity, role, and scope determine what context is visible to a given agent or workflow.
Workflows
Workflows are stateful, durable, and resumable. They persist organizational context across steps, retries, and follow-ups, allowing agents to operate over time rather than per-prompt.
Concepts
Organizational memory, context compiler, change detection, stateful runtime, and permission-aware retrieval are the core primitives exposed to agents.
Interfaces
ZentraOS is designed to expose organizational context through REST and MCP-compatible interfaces. This allows AI-native developers and autonomous systems to interact with organizational context as a first-class capability.
Machine-readable resources
- llms.txt/llms.txt
- Capability manifest (JSON)/ai-capabilities.json
- Sitemap/sitemap.xml
- Architecture/architecture