A coding-agent skill for multi-phase security audits with independently verified, machine-readable findings
Scale computer-use 2.0 with open-source drivers, cross-OS fleets, and benchmarks for training, evaluation, and data generation.
Local-first, agent-assisted document-to-ontology workbench
Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim.
Free antidetect browser stealth for Playwright: undetected headless Firefox fingerprint. Python scraping, recaptcha and bot detection bypass. Open source
You built it. Now brag. Turn the project you just created into a short, shareable launch video with one command.
Private source preview: native Jianying drafts, isolated editing/export, and standalone Agent Skill.
WeChat local data CLI (query/decrypt/export) — fresh start from wx-cli
An open-source coding agent for your terminal, powered by MiniMax.
Run AI agents on real and isolated machines — own kernel, filesystem, and network — with <200ms boot. Local first, OCI compatible, pure Rust.
A nano replica of Jev: parallel decisions, dynamic candidates, and an end-to-end training pipeline.
Easily manage your VPS/dedicated machine with Laranode (a cPanel/Plesk alternative)
354 条循证建议,覆盖长寿防病、急救、省钱理财、法律红线、失业与工伤、医保社保、恋爱婚育、出国与技能。每条写明成本、收益、证据等级和原始出处,只引期刊论文与官方文件。
An Open-World Foundation Model for General-Purpose Embodied Intelligence.
Dexbotic: Open-Source Vision-Language-Action Toolbox
One AI trade decision every Monad block. Jev on Kuru MON-USDC.
Production-grade engineering skills for AI coding agents.
OpenStock is an open-source alternative to expensive market platforms. Track real-time prices, set personalized alerts, and explore detailed company insights — built openly, for everyone, forever free.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Assignments for CS146S: The Modern Software Dev (Stanford University Fall 2026/2025)
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters