Rank 271opencompany
Self-improving AI that runs your whole business: six AI employees automate development, design, accounting, sales, marketing, and tax with 200+ AI models.
50–1,999 stars · gains since the previous 8-hour cycle · updated every 8 hours · Methodology
8h + shows stars gained since the previous cycle · ★ shows total stars
Cycle Nov 14, 08:00 KST · next scheduled Nov 14, 16:00 KST
Self-improving AI that runs your whole business: six AI employees automate development, design, accounting, sales, marketing, and tax with 200+ AI models.
A personal home screen for Samsung The Frame. A starting point to fork and adapt.
Project Plateau: four glass plates, one living valley, and the road back to camp.
Turn layered PSDs into editable Live2D models — automatic rigging, mesh/deformer generation, physics, animation, and .cmo3/ .moc3 export.
Play the Windows games from your Steam library on a jailbroken PS5.
AI translation
Ask one question and VoidAccess searches 12+ Tor search engines, GitHub and security feeds in parallel, then returns actors, wallets, leaked credentials and IOCs ready for STIX, MISP or Sigma. Open so
Give your whole company a shared team of agents, built on company context and reusable skills, running on infrastructure you control.
A benchmark to measure and evolve with the frontier of agent work
Warmbly is the open-source platform for cold email: warm your mailboxes, send campaigns, and triage every reply. Run it on our cloud or self-host the whole thing.
Maintain project context, assign tasks to Claude Code, Codex, Kimi Code, and you can also get work done. All results stay within a single local project.
AI translation
Free, open-source diagram canvas. Draw it, write it as code (Mermaid, D2, Structurizr in), ask any AI model or a local one, let Claude Code edit it live over MCP, or map a GitHub repo with every arrow
PentestCode - Multi-agent AI penetration testing system with persistent engagement state, strategic coordination, and parallel autonomous operations.
A unified library for building, evaluating, and storing speculative decoding algorithms for LLM inference in vLLM