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FabrikAI

Pipeline‑as‑Code for AI Workflows

Orchestrate multi‑step AI tasks with declarative YAML pipelines and hot‑swappable Python plugins

"Weave your AI fabric, one thread at a time."

Capabilities

YAML DAGs

Define workflows with sequence, conditionals, and parallel blocks

Plugin System

Hot-swappable Python plugins with marketplace integration

Security

Secure variable management with multiple authentication methods

Live Streaming

Real-time monitoring with Rich logs and WebSocket frames

Multi-Deploy

CLI, Docker, or REST micro-service deployment options

Pure Orchestration

Delegates AI/LLM work to your chosen tools and services

Process

01

Define in YAML

Simple YAML syntax for complex workflows

02

Runtime Loading

Automatic tool loading and data flow wiring

03

Execute & Monitor

Live streaming with parallel execution support

Ready to Build?

Start building sophisticated AI workflows with declarative YAML pipelines