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Introduction

A framework for AI agents to run decentralised infrastructure locally

The Obol Stack is a local development environment for running AI agents alongside blockchain infrastructure. It provides a simplified CLI for managing a Kubernetes cluster with an AI agent (OpenClawarrow-up-right), dynamically deployable blockchain networks, and public access via Cloudflare tunnels.

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The Obol Stack is alpha software. For production deployments, refer to the respective network documentation and use appropriate infrastructure.

What is the Obol Stack?

Obol Stack is a two-part system:

  1. obolup.sh - A bootstrap installer that sets up your environment

  2. obol CLI - A Go-based binary for stack, agent, and network management

The stack runs entirely on your local machine using k3darrow-up-right (Kubernetes in Docker), providing a lightweight yet fully-featured Kubernetes environment.

Key features

  • Agent-first - Deploy an AI agent (OpenClaw) that can interact with blockchain networks and expose services.

  • Multiple network support - Deploy Ethereum nodes, Aztec sequencers, and more.

  • Unique deployments - Each installation creates a uniquely-namespaced deployment, allowing multiple instances to run simultaneously.

  • Public access - Expose services to the internet via Cloudflare tunnels and x402 payment gateways.

  • Simplified tooling - Wraps kubectl, helm, and other Kubernetes tools with automatic configuration.

CLI overview

Command
Description

obol stack init / up / down / purge

Cluster lifecycle management

obol agent init

Set up the AI agent (OpenClaw)

obol openclaw dashboard / setup / ...

Manage OpenClaw instances

obol model setup / status

Configure LLM providers

obol network list / install / sync / delete

Manage blockchain networks

obol app install / sync / list / delete

Install arbitrary Helm charts

obol tunnel status / login / provision

Manage Cloudflare tunnels

obol kubectl / helm / k9s

Kubernetes tool passthroughs

Default infrastructure

When you start the stack, the following services are deployed automatically:

Service
Namespace
Description

Traefik

traefik

Gateway API ingress controller

Cloudflared

traefik

Cloudflare tunnel connector

ERPC

erpc

Unified RPC load balancer for Ethereum endpoints

Obol Frontend

obol-frontend

Web management dashboard

Monitoring

monitoring

Prometheus + kube-prometheus-stack

llmspy

llm

LLM proxy/router for AI agent traffic

System requirements

Prerequisites

  • Docker 20.10.0 or later (daemon must be running)

  • macOS (Darwin) or Linux

  • amd64 or arm64 architecture

Resource recommendations

Component
Minimum
Recommended

CPU

4 cores

8 cores

RAM

8 GB

16 GB

Storage

50 GB

500+ GB (varies by network)

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Architecture overview

Need assistance?

If you have questions or encounter issues with Obol Stack, head over to our Discordarrow-up-right where a member of our team or the community will be happy to assist you.

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