Knowledge Tree Documentation
Everything you need to run Knowledge Tree in production.
Install and operate the platform, extend it with custom plugins, integrate it with your existing tooling, and ship it safely inside enterprise environments.
Introduction
Understand what Knowledge Tree is, who it is for, and how it is architected.
Getting Started
Spin up Knowledge Tree, connect a cloud account, and see your first graph.
Core Concepts
Resources, relationships, scopes, graph model, and change detection.
Discovery
AWS, Azure, GCP, Kubernetes, DNS, network, and database plugins.
Knowledge Graph
Query with Cypher, traverse dependencies, and export topology.
Documentation
How Knowledge Tree generates and refreshes living documentation.
Integrations
Push docs to Confluence, Jira, Slack, PagerDuty, ServiceNow, Terraform, Grafana, Datadog, OPA, and Backstage.
AI and MCP
MCP server, anomaly detection, impact analysis, capacity forecasting, compliance reports, and incident response.
Plugin Development
Write your own discovery plugins with the Go SDK.
Administration
RBAC, authentication, credentials, and audit logging.
Security
Hardening defaults, secrets handling, and compliance mappings.
Deployment
Run Knowledge Tree with Docker Compose, Helm, or Terraform.
CLI Reference
kt-server, kt-discover, and kt-agent commands and flags.
Troubleshooting
Common issues, log collection, and support channels.
Release notes
Version history and upgrade guidance.
Platform
Webhooks, dashboards, scoring, certificate tracking, and cost optimization.
Enterprise
Multi-tenant, plugin marketplace, SOC 2, time machine, architecture diagrams, and air-gapped deployment.
Pricing
Starter, Pro, and Enterprise plans with transparent billing.