Skip to main content

Introduction

Premora is an on-prem enterprise knowledge platform. It breaks down knowledge silos and gives engineers — and the coding agents working alongside them — reliable, permissioned context about the work they are doing.

These docs are written for the teams who install, administer, and use Premora inside their own environment.

What Premora does

Premora ingests from the systems a team already uses, preserves the source ACLs through the entire pipeline, and surfaces that knowledge four ways:

  1. ACL-aware search — keyword + vector retrieval that only ever returns what the asking user is permitted to see, filtered against cached entitlement snapshots from the source systems.
  2. A deterministically generated wiki — raw source content materialized into structured wiki pages, chunks, a knowledge graph, and system pages, with full source lineage.
  3. A governed analyst workbench — a conversational research surface that orchestrates search, governed read-only SQL, deep web research, and synthesis, then lets users promote durable findings into the shared wiki under review.
  4. An agent skill — a Claude Code / Codex skill that feeds grounded, cited internal context into AI-assisted coding.

Success looks like: an engineer asks a question about an incident, a system, or a decision, and gets a grounded answer in under 30 seconds with traceable citations — not a hallucination.

Deployment shape

One Premora deployment is scoped to a single enterprise customer. There is no SaaS-style cross-customer multitenancy; partitioning for teams and workspaces happens inside that one deployment. The platform runs fully on premises or in a customer-controlled private cloud, and the core read path keeps working without any external SaaS dependency.

Premora Core is a Kubernetes-native microservice platform installed with Helm via the premora CLI, from signed and versioned artifacts. See Requirements and Installation to get started.

The product family

ProductWhat it is
Premora CoreThe Kubernetes-native application platform: gateway, identity, connectors, ingest, knowledge, search, analyst workbench, audit.
Premora InferenceThe optional host-managed GPU runtime that fronts vLLM for private on-prem inference.
Premora InstallerThe customer-facing premora CLI that installs Core and Inference from connected or offline (USB) artifacts.
Premora SkillThe Claude Code / Codex skill package that lets coding agents query the knowledge base.

Where to go next