AI Platform
Jarvis
A fully local, voice-driven AI assistant and orchestration platform that runs on a single workstation — no cloud dependency required.
Private by default.
Cloud assistants send your voice, files, and context off-device and stop working when the network does. The goal: a private assistant that lives entirely on your own machine — wake-word listening, natural speech in and out, real reasoning, and hands-on control of local tools — on a single consumer GPU, with the cloud as an optional quality ceiling.
- A three-pool compute architecture keeping latency-critical models hot on the GPU while heavier reasoning runs on CPU/RAM — responsive on 8GB of VRAM
- The full voice pipeline: wake-word, streaming speech recognition, a persona LLM, and low-latency neural text-to-speech at ~sub-second warm response
- A tiered brain with smart routing plus semantic long-term memory and retrieval across sessions
- A tool layer (web, filesystem, vision, media control) and a proactive layer for briefings, reminders, and ambient monitoring
- Hardened for always-on use: auto-start, a restart watchdog, a single-instance guard, and session continuity across reboots
Always-on, fully local.
A private voice assistant that boots with the machine and runs its full stack locally — warm end-to-end responses in about a second, spoken briefings, memory that persists across sessions, and a growing toolkit for real desktop tasks, with cloud models as an optional upgrade.
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