Platform Features
Engineered for developers who demand enterprise data sovereignty with the convenience of a modern web interface.
18 Autonomous Agents Software Studio
An entire software engineering company (Manager, Architect, Frontend, Backend, Database, Security, QA, DevOps, Reviewer) collaborating in isolated Git worktrees under an 80-article constitution.
Live In-Browser App Sandbox
Execute customer applications live inside the browser with auto-detected stack runners (Static, Vite, Next.js, Node, Python) and streaming terminal console drawer.
Decoupled Local GPU Inference & Sync
Benchmark any resident model or LoRA adapter in the Playground without interfering with active autonomous agents, with an opt-in toggle to synchronize models instantly.
Algorithmic Auto-Tuner
No more guessing hyperparameters. Auto Mode recommends calibrated rank, alpha, learning rate, micro-batch size, and sequence length, targeting 15-20% VRAM headroom.
QLoRA & 4-bit Quantization
Train 7B-14B models on consumer GPUs (12GB-16GB VRAM) using 4-bit NF4 quantization, gradient checkpointing, and paged AdamW optimizers.
Corpus Quality Scoring
Transparent 0-100 heuristic scoring engine that detects duplicate records, near-duplicates, encoding noise, and anomalous sample lengths before you waste compute.
Local RAG Studio
Chunking presets (code, structured documentation, narrative) and dual-stage retrieval (candidate top-k and rerank k) stored entirely in a local vector database.
On-Device Privacy Architecture
Local filesystem paths, raw documents, and adapter weights are kept strictly on-device. The server only sees opaque identifiers and loss telemetry.