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Version: v1.9

Introduction

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 (OpenClaw), dynamically deployable blockchain networks, and public access via Cloudflare tunnels.

info

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 k3d (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​

CommandDescription
obol stack init / up / down / purgeCluster lifecycle management
obol agent initSet up the AI agent (OpenClaw)
obol openclaw dashboard / setup / ...Manage OpenClaw instances
obol model setup / statusConfigure LLM providers
obol network list / install / sync / deleteManage blockchain networks
obol app install / sync / list / deleteInstall arbitrary Helm charts
obol tunnel status / login / provisionManage Cloudflare tunnels
obol kubectl / helm / k9sKubernetes tool passthroughs

Default infrastructure​

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

ServiceNamespaceDescription
TraefiktraefikGateway API ingress controller
CloudflaredtraefikCloudflare tunnel connector
ERPCerpcUnified RPC load balancer for Ethereum endpoints
Obol Frontendobol-frontendWeb management dashboard
MonitoringmonitoringPrometheus + kube-prometheus-stack
llmspyllmLLM 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​

ComponentMinimumRecommended
CPU4 cores8 cores
RAM8 GB16 GB
Storage50 GB500+ GB (varies by network)
warning

Running full Ethereum nodes requires significant disk space. Mainnet execution clients can require 1+ TB of storage.

Architecture overview​

+---------------------------------------------------------+
| Obol Stack |
+---------------------------------------------------------+
| obol CLI |
| +-- stack (init, up, down, purge) |
| +-- agent (init) |
| +-- openclaw (dashboard, setup, sync, skills, ...) |
| +-- model (configure, status) |
| +-- network (list, install, sync, delete) |
| +-- app (install, sync, list, delete) |
| +-- tunnel (status, login, provision) |
| +-- kubectl / helm / helmfile / k9s |
+---------------------------------------------------------+
| k3d Cluster |
| +-- Traefik Gateway (ports 80, 8080, 443, 8443) |
| +-- Cloudflared (public tunnel) |
| +-- llmspy (LLM gateway) |
| +-- ERPC (RPC load balancer) |
| +-- Obol Frontend (web dashboard) |
| +-- Monitoring (Prometheus) |
+---------------------------------------------------------+
| Deployments |
| +-- openclaw-<id> (AI agent + remote-signer) |
| +-- ethereum-<id> (blockchain network) |
| +-- aztec-<id> (blockchain network) |
| +-- redis-<id> (installed app) |
+---------------------------------------------------------+

Need assistance?​

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