Limited Access

Infrastructure for
Sovereign Systems

Build AI agents, automation systems, and private infrastructure you fully control. No platforms, no lock-in.

For founders, operators, and sovereign builders replacing SaaS with owned systems.

Build Your System See How It Works

Core Pillars

A new foundation for digital sovereignty

AI Systems

Deploy AI agents that handle sales, operations, and workflows without human bottlenecks.

  • Autonomous agents
  • Intelligent workflows
  • Multi-model orchestration

Infrastructure

Run your own stack across cloud, edge, or on-prem. No dependency on external platforms.

  • Scalable architecture
  • Modular layers
  • Edge-native execution

Sovereignty

You own your data, models, and execution layer. Nothing shared, nothing rented.

  • Ownership-first design
  • Decentralized control
  • On-premise or hybrid

Use Cases

What you can build

AI Sales Systems

Automate lead capture, qualification, and follow-up without relying on CRMs.

Private AI Assistants

Run internal AI agents trained on your data without exposing it.

Autonomous Operations

Deploy agents that manage workflows and execute decisions in real time.

Process

How LiberLayer works

01

Define your sovereignty boundaries

Start by mapping your data, compute, and policy requirements. LiberLayer's configuration layer lets you declare exactly what you own and what you control.

02

Deploy modular infrastructure

Spin up composable infrastructure blocks tailored to your workload — from edge compute nodes to AI inference clusters — with a single declarative manifest.

03

Launch autonomous agents

Deploy AI agents that operate within your sovereignty constraints, orchestrating workflows, monitoring systems, and making intelligent decisions on your behalf.

04

Monitor, iterate, expand

Full observability into every layer of your stack. Iterate on your deployment with zero-downtime updates and expand capacity as your sovereign system scales.

Open Source

The stack is live.
Pull it, run it, own it.

liberlayer / agent-runtime

Agent Runtime

The execution engine for AI agents that run on infrastructure you own. Not a chatbot wrapper — infrastructure. Implements a full ReAct loop with every step logged, persisted, and traceable.

  • 9 built-in tools — shell, SSH, HTTP, database, code execution, notifications
  • Persistent memory with full-text search across sessions
  • Scheduler, event server, multi-agent orchestration
  • Supports Anthropic, OpenAI, and Ollama — runs fully offline
liberlayer / sovereign-ai-stack

Sovereign AI Stack

The full architecture. Agent Runtime is the execution layer — Sovereign AI Stack is the blueprint for everything above and below it. Identity, networking, permissions, deployment models.

  • Layered architecture — execution, infrastructure, identity
  • Local-first and hybrid deployment models
  • Multi-model AI integration and provider-agnostic design
  • Built openly — roadmap, decisions, and direction are public
Get started in 60 seconds 
# Clone and install
git clone https://github.com/liberlayer/agent-runtime
cd agent-runtime && pip install -r requirements.txt

# Run with cloud model
export ANTHROPIC_API_KEY=sk-ant-...
python main.py "Check disk usage and summarize"

# Or run fully locally — no API key needed
ollama pull llama3.2
python run_ollama.py "Check disk usage and summarize"

Ready to own your
infrastructure?

Get access to build AI systems you actually own. Limited onboarding.

Speak with our AI infrastructure advisor — ask questions, explore options, or schedule a call.