Getting Started

Fontana is an Agent Harness, Knowledge Graph, and Workflow Engine - integrated as a governed AI platform for organisations with strict compliance, audit, and operational control requirements.

You use Fontana to design data pipelines on an interactive canvas, run them on a reactive server-side engine, and layer governed AI agents on top with tools, skills, and approved model access. Every workspace is isolated; every privileged action can leave audit evidence.

What you can do in the Flow app:

• Create AI agents and assign modular Skills
• Build Knowledge Graphs so agents retrieve approved operational knowledge
• Configure agentic workflows with agents, tools, and graphs on the Flow canvas
• Ingest data from files, APIs, and 600+ connectors
• Transform and validate data with built-in operations
• Analyze results with visual reports and interactive queries
• Export or deliver outputs to downstream systems

Explore the documentation

• Platform overview - runtime stack, platform capabilities, and external service boundaries
• AI - gateways, models, agents, Knowledge Graph, tools, MCP, BYOK, and ZDR
• Workflows - visual pipelines, execution engine, nodes, and operations
• Identity and access - Zitadel SSO, identity providers, roles, and application RBAC
• Data - ingress, secure Arrow storage, egress, and connector secrets
• Observability - operational telemetry, Gatus health, and security audit (WORM)
• Deployment - cloud, self-hosted, architecture, backup and restore, Fontana CLI
• Security - workspace isolation, secrets, encryption, network hardening, supply chain, SOC 2 control summary
• Compliance evidence - lineage, immutable audit trail

What is an Agent Harness?

An agent harness is the control layer that surrounds an AI agent, providing access to data, tools, workflows, and enterprise systems. At Fontana, the harness also delivers governance capabilities such as audit logs, human-in-the-loop approvals, permissions, validation rules, and monitoring, ensuring that AI agents operate safely and in line with organisational controls.

What is the Workflow Engine?

The server-side execution layer for DAG data transformation pipelines. It schedules idempotent node runs, persists run-scoped files, executes transforms and connectors, and writes audit and lineage metadata alongside result datasets.