We build AI infrastructure on a simple principle: your intelligence should run on your hardware, under your control, without sharecropping your data. Two products, one thesis.

A drop-in agent that runs on your machine. Use a local open-weights model (private, no API key) or bring your own cloud key (BYOK) — you choose, and you can switch. Configure it by talking to it. Secure-by-default: zero ambient authority, every capability off until you grant it.

npm i -g @efficientlabs/stratos      # or, no npm:
curl -fsSL https://raw.githubusercontent.com/EfficientLabs-ai/StratosAgent/main/install.sh | sh
stratos init      # name it + pick a model (local-only setup)
stratos doctor    # read-only preflight
stratos start     # runs on 127.0.0.1

• Private by default — runs offline-capable on your hardware; your data stays with you.
• Model-agnostic — local (Ollama) or BYOK (OpenAI / Anthropic / Google). No lock-in.
• Secure-by-default — files / network / shell are off until you explicitly grant them, locally.
• Honest — no fabricated status, balances, or capabilities. It tells you what's real.

→ StratosAgent repo

A peer-to-peer network (public DHT + NAT hole-punch, no open ports) with post-quantum-signed skill sharing. StratosAgent works fully standalone; joining the Atmosphere is always opt-in. It's how verified capabilities can compound across your own trusted nodes.

→ The Atmosphere repo

Things a sovereignty-first design can offer that a surveillance-funded one structurally cannot:

We say what's real and what isn't. Aspirations are marked as aspirations.