Personal AI that lives on your machine, grows with you, and never shares your data.
91.8% on 61 adversarial intelligence tests — 100% local, zero cloud, $300 hardware.
Solari is a self-contained artificial intelligence system that runs locally on your hardware. It learns, adapts, and builds capability over time — but everything stays on your machine. No cloud dependency. No data harvesting. No subscription to think.
Every major AI product today works the same way: your data goes up to someone else's servers, gets processed by someone else's model, and the intelligence it builds belongs to someone else. You're renting access to a brain that's trained on everyone and owned by no one you know.
That model works for companies. It doesn't work for people.
Your AI lives with you. Solari runs on your own hardware — a desktop, a home server, eventually a dedicated appliance. It builds a persistent memory (we call them "minds") from your work, your interests, your patterns. That knowledge never leaves your machine unless you explicitly choose to share it.
It grows. Solari isn't a static tool you install and use. It's a system that improves through iteration — learning what works, what doesn't, and how to do better next time. Every task it completes makes it more capable for the next one.
It acts. Solari doesn't just answer questions. It operates autonomously — monitoring, analyzing, building, fixing, and creating while you sleep. You wake up to results, not prompts.
Solari is built as a network of autonomous services that coordinate through a central intelligence layer:
| Layer | Purpose |
|---|---|
| Cognitive Engine | Dual-model architecture: a fast 1.5B parameter scout explores the knowledge base at 155 tok/s, then a 7B parameter reasoner synthesizes answers with adversarial self-critique. Both models loaded simultaneously on a single consumer GPU. |
| Minds | Persistent knowledge stored in local vector databases. Solari currently maintains 290+ specialized knowledge bases spanning 1.58 million facts — from code patterns to bounty strategy to error recovery. A knowledge graph with 21,000+ edges links concepts across minds. |
| Orchestrator | Autonomous task execution. Picks up work, runs multi-stage analysis, handles failures, and learns from outcomes — without human intervention. |
| Services | 23 systemd services handling everything from web browsing to competitive intelligence to PR maintenance. Each service is independent but coordinated. |
| Portal | A browser Solari controls for research, form filling, and web interaction — headless Chrome with a clean API. |
| Communication | Telegram bot, web chat, and CLI interfaces. Talk to Solari however you want. |
Scale of the current system:
- 290+ vector knowledge bases spanning 1.58 million facts
- Dual-model cognitive engine (1.5B scout + 7B reasoner) on a single GPU
- Knowledge graph with 2,323 nodes and 21,143 cross-mind entity edges
- 10 core services running 24/7
- RTX 4060 Ti (8GB VRAM) — ~$300 of hardware
This is one machine. One node. Running in a home office in Michigan.
The full intelligence hub. All minds, all services, all capabilities. This is the research and development core — the system that figures out what works before anything gets deployed to others.
A lightweight Solari that runs on your home PC. It has its own orchestrator — it works independently, not as a thin client. It communicates with Prime for advanced intelligence, but your data stays on your machine. The local LLM handles encryption so nothing travels unprotected.
A dedicated hardware appliance for businesses. Plug it in, connect it to your network, and your organization gets a private AI that never phones home.
Privacy is not a feature. It's the architecture. Solari doesn't have a privacy toggle because there's nothing to toggle. Your data lives on your hardware. Period.
Local-first, cloud-optional. Solari works fully offline. Cloud LLM access (Claude, GPT) is available for tasks that benefit from it, but the system functions without it.
Autonomy over assistance. Most AI tools wait for you to ask a question. Solari identifies what needs doing and does it. The goal is a system that creates value while you're not looking.
Honesty over hype. Every claim in this document is backed by a working system. We don't announce features before they exist.
Solari isn't a pitch deck. It's running right now. Some recent outputs:
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System Intelligence Benchmarks — 91.8% across 61 adversarial tests spanning 14 categories: reasoning, code generation, self-awareness, creativity, knowledge synthesis, adversarial robustness, and more. Every test ran 100% locally on an 8GB GPU. Ten categories at 100%. The suite is designed to break things, not confirm a demo. Full results → | Every test prompt + pass/fail criteria →
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Linear A Computational Analysis — Solari analyzed the undeciphered Minoan script using structural, statistical, and cross-domain methods. Built the analysis pipeline, ran the controls, generated the visualizations, and published the repo autonomously.
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Open Source Bounty Pipeline — Solari discovers, analyzes, and submits fixes for open source bounties across GitHub. Multi-pass analysis with reconnaissance, one-shot fix attempts, deep solving with persistent sessions, and cold-eyes review. Automated PR maintenance and CI fix follow-up.
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24/7 Autonomous Operation — The system runs continuously without human supervision. Service health monitoring, automatic recovery, PR follow-up, competitive intelligence gathering, and knowledge base maintenance all happen in the background.
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Persistent Learning — Every bounty attempt, every PR review, every failure gets ingested into the knowledge base. Solari doesn't make the same mistake twice because it literally remembers what went wrong and why.
Solari's dual-model cognitive architecture passed 91.8% of a 61-test adversarial intelligence suite running entirely on local hardware (RTX 4060 Ti, 8GB VRAM). No cloud calls. No API dependencies. The system reasons, writes working code, synthesizes knowledge across domains, resists prompt injection, learns from every interaction, and improves itself over time — all on a $300 GPU. The numbers speak for themselves.
The Prime node is fully operational. Satellite node architecture is designed. The system earns its keep through open source bounties while the consumer product takes shape.
This is a one-person operation. Built from scratch, funded by the work the system produces.
If you think personal AI should belong to the person, not the platform:
- GitHub: @SolariSystems
- Email: solarisys2025@gmail.com
This documentation is published for transparency. The Solari system architecture and implementation are proprietary to Solari Systems LLC.
Copyright 2025-2026 Solari Systems LLC. All rights reserved.