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Process. Review. Ship.

From document to decision.

Build workflows. Add human review. Orchestrate agents. Ship workflows that scale.

M3 Forge is a document AI platform for building and operating production workflows — from first processor to fully deployed system.

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One system. Full lifecycle.

Process

Turn documents into structured, usable data.

Review

Route edge cases through human-in-the-loop workflows.

Ship

Deploy, monitor, and operate with production-grade controls.

M3 Forge

M3 Forge is designed for teams building real document AI systems — where accuracy, iteration speed, and operational control matter.

Start with the all-in-one deployment for the fastest path to a running instance. Then use the docs to understand the workflow model, processor stack, review system, release flow, and operational tooling behind it.

Features

Workflows

Visual DAG editor for chaining classification, extraction, validation, and human review steps.

Processors

Train custom extractors, classifiers, splitters, and layout models on your own documents.

Human-in-the-Loop

Route low-confidence predictions to reviewers with SLA tracking and queue management.

Agents

Deploy AI agents with tool use, multi-agent orchestration, and shared memory.

Monitoring

LLM observability, execution traces, workflow insights, and SLA compliance tracking.

Infrastructure

Manage gateway connections, deployments, capacity, and real-time event streaming.

Quick start

Docker

Single container setup

docker run -p 3000:3000 marieai/m3-forge

Docker Compose

Full stack with services

docker compose up -d

Development

Local dev environment

pnpm install && pnpm dev