A self-hosted installer that deploys private OpenClaw on your own GPU with zero telemetry in one command
Developers and enterprises want to run OpenClaw agents on their own hardware without any data leaving the machine, but the setup requires manual LLM configuration, disabling telemetry flags, and wiring up local model servers. ClawSpark proved this demand exists but only supports NVIDIA DGX hardware. This tool auto-detects your GPU (NVIDIA, AMD, Apple Silicon), installs the optimal local LLM backend, configures OpenClaw for fully offline operation, and verifies zero network egress so you get private agents without the setup pain.
Demand Breakdown
Social Proof 1 sources
Gap Assessment
3 tools exist (ClawSpark, Ollama, Jan.ai) but gaps remain: NVIDIA-focused, no AMD support, no automatic model selection, no network egress verification, no benchmarking; Generic LLM server, no OpenClaw integration, no telemetry verification, user must configure everything manually.
Features3 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| ClawSpark | One-command private OpenClaw on NVIDIA DGX/RTX/Mac with zero telemetry | NVIDIA-focused, no AMD support, no automatic model selection, no network egress verification, no benchmarking |
| Ollama | Local LLM inference server supporting many models with simple CLI | Generic LLM server, no OpenClaw integration, no telemetry verification, user must configure everything manually |
| Jan.ai | Desktop app for running LLMs locally with OpenAI-compatible API | GUI-focused, no CLI workflow, no OpenClaw config automation, no privacy verification |
Notable VoicesFREE
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