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ArK edited this page Nov 8, 2026
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ArkDrive is a model-agnostic GUI computer-use executor for Linux/X11: a hardened runtime that sits between any tool-calling LLM and a real desktop, and makes GUI work accountable — per-action deadlines, fallback input ladders, structured dispatch receipts, progress sensing, and honest structured aborts instead of silent failures.
The driving model is bring-your-own (any OpenAI-compatible, tool-calling endpoint). Benchmarks are published per model, so the executor's quality and the model's quality are never confused.
- Test-Results — the full benchmark suite: all 10 task cards, per-model results, core/smoke test status, and the fun runs (Doom, Blender).
- Architecture — how the executor works: the loop, deadlines, input ladders and receipts, micro-agents, progress sensing, completion discipline.
- Safety-Model — kill switch, dry-run, audit log, human-in-the-loop points, deployment guidance.
- Hardening-Story — how the executor was hardened: 125 adversarial review passes, ~250 defects, one structural rebuild, and the rules that came out of it.
- Compatibility — who can drive ArkDrive: executor model presets (llama / OpenAI / DeepSeek / OpenRouter / Anthropic) and external coding agents (Codex proven; Claude Code and generic agents by contract).
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README.md— pitch, quickstart, short benchmark table -
docs/— the full architecture, safety, runbook-pack, and hardening documents (this wiki summarizes them) -
bench/— task cards, runner, and machine-readable results
ArkDrive Wiki