Global edition of ARTEX — an LLM multi-agent autonomous penetration-testing framework. English default, switchable to Korean/Chinese/Spanish/Japanese. For authorized, defensive and detection use only. (upstream: Autumn-27/ARTEX, AGPL-3.0)
Repository Index
47,133 repositories indexed
1–14 of 14 · Most stars
A contract-driven gRPC regression harness for AI coding agents, with human-approved baselines. Snapshot the valid call chains of an API so an agent can look one up instead of tracing for it. gRPC today, OpenAPI next
TranslatedARTEX · AI autonomous penetration testing system (multi-agent LLM, Go + Next.js) · Champion of the Baidu agent+ Attack and Defense Challenge
TranslatedRun mini programs in the browser using WeChat's official base library, with support for Chrome DevTools debugging and Playwright E2E testing
- e2e-testing
- mini-program
- miniprogram
- playwright
Implement one small API on SQLite in any language; we benchmark it on a $12 server (1 vCPU, 2 GB)
Android automation from code. Test your apps on real phones, script the tasks you repeat, run a shelf of phones, or let an AI agent use one, from Python, Node.js, the CLI, HTTP or Appium clients. No ADB, no USB cable, no root.
A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.
🛡 Official AI Security Tool module for CVE-2026-54121 (Certighost): AD CS certificate abuse deep-dive, defensive audit workflows, and safe in-app console execution for authorized Active Directory security testing.
- active-directory
- ai-security-tool
- privilege-escalation
- red-team
Feel how fast a local LLM runs before you buy the hardware
High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees
The repository host gives no description.
Content discovery and fuzzing with HTTP/3 support (100k requests per second)
TranslatedC++ matrix multiplication performance experiments: from triple loops to blocking optimization and systolic arrays — an undergraduate introductory showcase project in the AI chip (NPU) direction
Benchmark harness and data: QEMU emulation vs native Buildx nodes for multi-arch container builds.