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1–24 of 1,432 · Most stars

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

The 1st Collaborative AI Design Agent Workspace. Local-first and open source. Create motion, prototypes, websites, apps, dashboards, presentations, images, and videos with your team and AI agents. Share work, exchange feedback, and iterate together in one workspace.

Never stop coding. Free MIT AI gateway: one endpoint, 375 providers (150+ free), 1,400+ models Kimi, Claude, GPT, Gemini, GLM, DeepSeek, MiniMax. Works with Claude Code, Codex, Cursor, OpenCode, Cline & Copilot. Quota-aware auto-fallback, RTK+Caveman compression saves 15-95% tokens, MCP/A2A, Desktop/PWA. Built by 900+ contributors

Translated😮 Core Interview Questions & Answers For Experienced Java(Backend) Developers | A complete primer on advanced knowledge for internet Java engineers: covering high concurrency, distributed systems, high availability, microservices, massive data processing, and other areas

A progressive TypeScript framework for Node.js backends: from a small API in one file to efficient, scalable, enterprise-grade systems 🚀

  • nest
  • javascript
  • typescript
  • nodejs

AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and support for your own .pptx templates. · by Hugo He

"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files

  • golang
  • go
  • cloud-storage
  • s3

TranslatedCommitted to sharing high-quality, interesting and practical open-source technical tutorials, developer tools, programming websites, and tech news on GitHub. A list cool, interesting projects of GitHub.

Curso para aprender el lenguaje de programación Python desde cero y para principiantes. 100 clases, 44 horas en vídeo, código, proyectos y grupo de chat. Fundamentos, frontend, backend, testing, IA...