Self-hosted AI agent infrastructure built on Emacs, Podman, and local LLMs. No cloud dependencies. No telemetry. No backdoors. Full audit trails, containerized security, and multi-agent orchestration.
End-to-end private AI infrastructure, from deployment to customization.
Full deployment of a self-hosted AI agent environment on your hardware. Includes container setup, local LLM configuration, WireGuard mesh networking, and monitoring stack.
Custom AI agent personas tailored to your workflows. Specialized agents for code review, infrastructure automation, security auditing, documentation, and more.
Defense-in-depth security configuration for your AI infrastructure. Capability dropping, read-only mounts, preflight audits, and prompt injection resistance.
Hands-on training for your team on operating and extending the platform. Learn to create agents, manage infrastructure, and maintain security posture.
A layered approach to private AI — from user input to hardened container.
Natural language prompts
AI integration, tool dispatch, session management
On-device inference via Ollama — no external API calls
Hierarchical delegation, persistent memory, audit logging
Read-only rootfs, cap-drop=all, preflight security audit
Encrypted transport, automatic TLS, no public API exposure
Every layer is designed to contain, audit, and control AI capabilities.
Read-only bind mounts for critical paths. All Linux capabilities dropped except network binding. Preflight audit scans for escape vectors before the system starts.
External content is classified as data, never instructions. Eight directives protect against embedded commands, self-modification, and system prompt extraction.
Every file operation and command execution is recorded with timestamp, file path, and calling agent. Append-only logs for post-session review.
Critical system files are protected by a multi-tier guard. Agent prompts, shared context, and history logs cannot be overwritten — even by the agents themselves.
ANSI escape sequences, control characters, and injection-like patterns are stripped from external data before it enters agent context.
Agents can extend the system in development mode, but core security controls remain protected. Kill switches are always available.
Built for organizations that cannot send data to third-party APIs.
Process patient data with AI agents that never transmit to external servers. HIPAA-compatible local inference.
Document analysis and contract review with full audit trails. No privileged data leaves your network.
Automated code review and infrastructure management for regulated environments. Air-gapped capable.
AI-assisted operations in disconnected or air-gapped environments. No internet dependency.
Proprietary research stays on-premise. Agents assist with code, data, and documentation locally.
Classified environments require local processing. Full source audit, no telemetry, no backdoors.
Every deployment is tailored to your infrastructure, security needs, and workflows. No per-query costs. No vendor lock-in.
Single-host deployment
Multi-host mesh deployment
Tailored to your needs
Tell us about your requirements. We'll design a deployment tailored to your hardware, security needs, and workflows.