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⚚ The ultrawork agent with AI coworkers wired into you
An open‑source technical wiki connected to the systems it describes
Editorial diagram design for Claude Code, Codex, GitHub Copilot, Cursor, Factory Droid, Qoder, and Pi. 45 diagram types. Self-contained HTML + SVG. No shadows. No Mermaid slop.
Reverse engineer anything with agents, from app behavior down to native binaries.
Run:ai is the AI workload orchestration platform for Kubernetes. This monorepo contains the control plane services, in-cluster Kubernetes operator/controllers, shared libraries and clients, the ins…
Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. Hosted API + MCP: …
AI and engineering reinforcement learning for human
The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.
A curated resource list for learning AI performance engineering, from GPU fundamentals to production inference.
Garry's Opinionated OpenClaw/Hermes Agent Brain
Agent OS: the agent gets smarter on its own. We just hold the line: Interview-gated, staged evaluation, budgeted evolution loop. MCP server, 14 runtimes: Claude Code, Codex CLI, Gemini CLI, OpenCod…
Orca lets you run a fleet of coding agents (e.g. Claude Code, Codex) with your own subscription. Available on desktop, mobile and remote runtime.
Divide mercilessly into hierarchical planes, and the truth will be visible. That is quarkization.
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Faster way to switch between clusters and namespaces in kubectl
< AI 시대에 개발자가 알아야 할 인프라 구성 배포 with 클로드 코드 >
Hindsight: Agent Memory That Learns
Local code intelligence for developers and AI agents. Connect code, docs and infrastructure in a persistent graph, with CBM Lens, MCP tools, agent integrations and change-aware test selection.
Find why PyTorch training is slow, compare runs, and catch performance regressions in CI.
A curated list of practical financial machine learning tools and applications.
Interactive architecture diagrams for codebases
🚴 Call stack profiler for Python. Shows you why your code is slow!
A Claude Code skill bundle for bug hunting and external red-team work - 82 skills, 15 slash commands, 681 disclosed-report patterns curated across 24 core vulnerability classes, plus enterprise ide…
Interactive single-HTML learning program teaching Ontology from scratch using all 1,025 Pokémon in Korean. 포켓몬으로 배우는 온톨로지.
📊 Visual Diversity Evaluation for Image Datasets | Implementation of FineVision's diversity metric using SSCD embeddings, Effective Rank & Participation Ratio
Datatype is a variable font that turns text into charts.