Private AI Infrastructure: Self-Hosted Agent Stack
One hardware appliance on your desk. A secure LightRAG knowledge graph and a Hermes-orchestrated engineering team running strictly on-premises with zero cloud leaks.
True agent engineering requires immediate, unhindered proximity between your compute substrate, your source code, and your corporate memory assets. Fractera translates the identical industrial platform for agentic engineering deployed on remote virtual hosting directly onto standalone Apple Silicon hardware. You secure a hardened, autonomous local development workspace rather than an isolated, ungrounded workstation.
Sovereign Edge Appliances on Your Own Hardware
Apple Silicon Core: Local Computing Always On
The physical nexus of the system is an off-the-shelf Mac mini or Mac Studio operating on your local network 24/7. There are no corporate server racks to mount, no remote data centers to audit, and no recurring cloud hosting subscriptions to renew. A silent hardware enclosure on your desk securely hosts your entire execution stack and deployment environment.
Eradicating DevOps Barriers and SaaS Vendor Lock-In
Your internal documentation, system logs, audio meeting captures, and strategic briefs are parsed and indexed locally. Because the codebase, user database, and operational logs reside exclusively on your dedicated machine disk, you fully eliminate costly dependencies on external platforms like Clerk, Supabase, and Vercel. Your business data remains under your absolute physical custody.
Graph-Based Memory: Eradicating Context Inflation
LightRAG as a Shared Corporate Knowledge Graph
At the architectural center of the environment sits LightRAG—a highly optimized Knowledge Graph Retrieval-Augmented Generation subsystem that functions as the shared long-term memory of the local appliance. Every active execution CLI writes back metadata schemas and reads layout rules from the same integrated graph node, causing your systemic context to compound over time instead of evaporating.
Crushing Token Cost Multiplication via Pre-Engineered Boilerplates
Standard unconstrained models consume tokens exponentially because they must constantly re-read entire repository structures to execute basic changes. Fractera completely mitigates this context window inflation. Because our massive 50,000-line immutable framework is already pre-compiled on your hardware substrate, agents never write infrastructure layout or auth configurations from scratch. They follow pre-engineered architectural patterns, executing hyper-targeted, cheap changes that slash API spend on a massive scale.
A Coordinated Multi-Model Engineering Team
The Execution Triad: Concurrent CLI Platforms
Claude Code, OpenAI Codex, Gemini CLI, Qwen Code, and Kimi Code initialize instantly inside browser-native PTY terminals directly on the hardware appliance. They run on your existing developer accounts and subscriptions, eliminating third-party API middleman markups. The Hermes orchestrator functions as the localized task manager, parsing intents into exact MCP tool commands while using LightRAG to verify code compilation rules.
Bypassing the Black Box: Visual Testing and Gateway links
Complex agentic loops shouldn’t operate as unmonitored text scrollbacks. Fractera implements dedicated service pages directly into your local cockpit, visualizing how your agents execute logic, handle errors, and call tools. Brief your corporate brain through secure voice commands from Telegram; Hermes converts your feedback into a deterministic system mutation, instantly returning a fast production link deployable across your local network.
“A single hardware appliance, owned outright, executing the sustained production output of a full DevOps and software engineering team—without conversational amnesia, without API metered price spikes, and without leaking a single byte of metadata to a public cloud vendor.”
Professionalism does not scale. Only business processes can be scaled.
Roma ArmstrongFounder at Fractera.aiApply for a founder consultation
Tell us about your business, the knowledge your team keeps losing, and the work you would hand to the Brain first. A short working session with the Fractera founder is the first step — no commitment, no pitch deck.
Frequently asked questions
- What constitutes local agent engineering on the Fractera Company Brain appliance?
- It represents the total migration of your software engineering workflows from third-party metered clouds to an on-premises, isolated multi-agent environment. By deploying Fractera onto local Apple Silicon hardware (Mac mini or Mac Studio), you run five concurrent development CLIs, the Hermes orchestration engine, and a private LightRAG knowledge graph server locally, with zero data tracking.
- How does the pre-built framework prevent context inflation and reduce token costs?
- Unconstrained agents burn token budgets by repeatedly scanning file hierarchies. Fractera provides a pre-configured 50,000-line immutable Next.js blueprint containing enterprise routing slots, auth, and database models. Because the foundational infrastructure is already written and cached on disk, the local AI agents do not invent system architecture; they execute minimal, atomic MCP layout mutations that drive token spend toward zero.
- Can the local edge appliance be safely integrated with traditional local IDE coding?
- Absolutely. The local appliance functions as a private Git-Ops deployment target. You write software locally in your personal IDE (VS Code, Cursor, Zed) with native hot-reloading and push changes to a secure GitHub repository. The appliance pulls the branch updates automatically, instantly compiling the mutations against your local SQLite WAL database and media storage clusters without requiring cloud platform fees.