The Realm of Infinite Possibility

Autonomous AI Development at Scale

Where ancient power meets cutting-edge technology

Build, deploy, and scale your applications across the Nine Realms — 11 specialized AI agents orchestrated in a parallel DAG pipeline for unmatched performance and reliability

11
Agents
5
Phases
Scalability

What is ASGARD?

ASGARD (Autonomous System for Graph-based AI Role Distribution) is a distributed AI development platform that orchestrates specialized AI agents to autonomously perform parallel software development tasks.

Powered by ODIN — a crash-safe DAG orchestration engine — ASGARD coordinates a full development lifecycle: from product ideation and design, through implementation and testing, to deployment.

Forged Across the Nine Realms
11
AI Agents
5
Pipeline Phases
Yes
Parallel Execution
Built-in
Crash Recovery

Three-Layer Architecture

ASGARD operates through three interconnected layers, each handling a critical aspect of the autonomous development pipeline

ASGARD Three-Layer Architecture

Control Layer

ODIN orchestrator manages the DAG state machine, handles crash recovery, and coordinates task distribution across all agents

Artifact Layer

Jira issues, Git repositories, and Confluence documentation flow between agents as structured artifacts

Execution Layer

AESIR worker agents and NORN reviewer agents execute tasks in parallel within isolated Docker containers

11 Specialized Agents

Each AESIR agent is a domain expert, running in its own container with role-specific tools and context

Phase 1

Product

Defines user stories, acceptance criteria, and RICE scoring for feature prioritization

Phase 1

Analyst

Performs feasibility analysis, risk assessment, and creates the Definition of Done

Phase 2

Designer

Creates UX specifications, wireframes, and ensures accessibility compliance

Phase 2

Architect

Designs API contracts, Kotlin interfaces, and establishes architectural patterns

Phase 3

Developer

Implements features following MVVM architecture with contract adherence

Phase 4

Unit Tester

Writes comprehensive unit tests with edge case coverage and quality mocks

Phase 4

Integration Tester

Creates E2E test suites covering complete user flows and stability checks

Phase 4

Tech Writer

Produces accurate technical documentation with code examples

Phase 4

Code Reviewer

Reviews code quality, identifies anti-patterns, and suggests improvements

Phase 4

Security Reviewer

Conducts security audits, identifies vulnerabilities, and ensures compliance

Phase 5

DevOps

Manages CI/CD pipelines, deployment configs, and infrastructure automation

How It Works

ODIN orchestrates a 5-phase directed acyclic graph (DAG) pipeline — agents execute in parallel when dependencies allow

1
Phase 1Midgard — Planning
Product
Analyst
2
Phase 2Alfheim — Design
Designer
Architect
3
Phase 3Nidavellir — Forging
Developer
4
Phase 4Asgard — Judgment
Unit Tester
Integration Tester
Tech Writer
Code Reviewer
Security Reviewer
5
Phase 5Bifrost — Deployment
DevOps

Human creates a Jira Story with the 'odin' label

ODIN detects the story and creates 11 subtasks (idempotent)

Agents poll for unlocked tasks and execute via Claude Code CLI

NORN reviewers validate each agent's output in parallel

ODIN closes the parent story when all roles complete

Built for Production

Enterprise-grade reliability features ensure your AI development pipeline runs without interruption

Crash Recovery

ODIN uses a state machine with checkpoint/restart. Flock mutex prevents concurrent instances. Healthchecks trigger Docker auto-restarts.

Idempotent Operations

JQL pre-checks prevent duplicate subtask creation. Every pipeline stage can be safely re-executed without side effects.

Parallel Execution

Independent pipeline phases run concurrently. Phase 4 fans out to 5 agents simultaneously, maximizing throughput.

Real-time Monitoring

BIFROST integrates Grafana, Prometheus, and Pushgateway. 30-second heartbeats from every agent with dead man's switch alerts.

Heimdall's Watch

BIFROST Monitoring

Full observability into your autonomous development pipeline — the all-seeing eye watches over every agent

Grafana dashboards with real-time agent status
Prometheus metrics collection from all 11 agents
30-second heartbeat monitoring with dead man's switch
Alertmanager integration for failure notifications
Structured JSON event logging for audit trails
bifrost-dashboard

Try It

Experience the power of autonomous AI development — choose how you want to get started

Quick Start

Deploy the full ASGARD platform locally with Docker Compose. Get 11 AI agents running in minutes with our one-command setup.

Launch Locally

Docker Images

Pull pre-built Docker images for instant deployment. No building required — just configure your credentials and go.

View on DockerHub

Cloud Deploy

Deploy ASGARD to your cloud infrastructure with our Helm charts and Terraform modules for Kubernetes clusters.

Cloud Guide

Ready to Automate Your Development?

Join the teams using ASGARD to ship production-ready software with 11 AI agents working in parallel.