The Connected AI Workspace.
Local First. Zero Limits.
A single, continuous surface where specifications, editing, visual canvas, planning, and memory run directly inside your machine. Fully engineered and battle-tested for production.
Disconnected tooling.
Scarcity meters.
Telemetry spying.
Most developers are copy-pasting code between browser tabs, text editors, note buffers, and visual planning boards. This breaks focus, fragments your history, and puts your proprietary specs on remote servers.
COORDS: X(240), Y(240)
Fragmented Workspaces
Swapping screens to describe context over and over wastes cognitive load. Context should remain right where the work lives.
Metered Ambition
Cloud bills and token limits cap your capacity, cutting off major refactorings or agent loops midway through.
Data Leakage
Sensitive client directories, local files, and personal specs are transmitted to third-party databases for continuous training.
Opaque Automation
Silent agents make hidden edits deep inside your folders. Edits should be reviewable, transparent, and user-staged.
Everything Connected.
Your planning steps, markdown note vaults, visual UI designer, and local code editor feed the same working context on-device. No context-loss, no silos.
Remove The Meter
Refactor massive repositories, spin up long-running planner loops, and write specs all day. No API fees, no usage limitations.
Air-Gapped Privacy
Your code, prompts, notes, and local files never leave your environment unless explicitly allowed by custom integrations.
Instant Execution
Single-digit millisecond latency. Inference queries execute on local hardware, bypassing distant cloud hops.
Unified Workspace Surfaces
Each surface is built for a distinct task instead of forcing writing, visual UI design, and checklists through a single chat tab.
Co-Editor
Selection-aware workspace editing, staged code modifications, diff generation, and code symbols mapping for structured reasoning.
Vault Note System
Markdown-native editor designed for specs, requirements documentation, research, notes, and local files integration.
Visual Designer
Structured canvas view for UI hierarchies, visual mockups, asset placement, inspectable layouts, and reviewed mutations.
Interactive Planner
Transform ambiguous goals into structured, executable steps. Tracks agent progress, status codes, and terminal integrations.
Durable Memory
Context anchored in confirmed execution, past edits, and developer preferences, bypassing unstable conversation records.
Runtime Trace
Complete routing details, model requests, files read/written, and step outcomes exposed in detail for direct user audit.
Local core with cloud scale.
Unlike static systems, Shadow Terminal scales seamlessly. Run core loops locally on your machine at zero cost. Offload massive refactoring passes to cloud networks only under your command.
Desktop Shell System
The local desktop workspace coordinates Vault specs, Planner actions, visual canvas designs, and local git repositories on your filesystem.
Direct Local Inference
A custom inference engine built directly on top of llama.cpp. By bypassing upper-level wrappers like Ollama, we eliminate middleware overhead to run local parameters with maximum speed and zero fees.
Heavy-lifting Offload
For complex logic structural design or multi-file code builds, route specific prompts to advanced cloud inference servers, returning staged reviews.
Engineered for control.
Use the `shadow` CLI to run agent commands directly from your local terminal workspace.
Frequently Asked Questions
01What is Shadow Terminal?
02How does it compare to cloud-based systems?
03Is the product ready to launch?
04Which local models are supported?
05How is user data protected?
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