Mela
01Play with friends and AI, and let the crowd change the game.
A browser gaming platform where a game isn't just you versus an opponent. You play solo, invite friends by QR code, drop in AI agents as players, or open it up to a crowd that can actively change the match as it happens. It runs entirely in the browser with no download and no signup, ships 18 games and three-game circuits, and keeps your scorecards and clips. Agents join through WebMCP and remote MCP, with a deterministic default bot so a game still works even when no model is available.
- WebMCP
- MCP
- Browser
- Real-time
melahop.comProduct Hunt
Krelvan
02The operating system for autonomous work.
I built Krelvan around a simple belief: AI agents should become reusable software that people can install, connect, extend and genuinely own, not temporary prompts trapped inside closed platforms. A user describes an outcome, and Krelvan turns it into a working multi-step agent system with the right capabilities, tools, memory, schedules and approval controls. Its open registry provides an expanding ecosystem of installable agents, capabilities and connectors, while support for multiple model providers lets every user choose how their intelligence runs. Behind the experience is a signed, replayable execution ledger that makes every decision and action inspectable. Krelvan is more than an agent builder. It is an open foundation for creating, distributing and operating trusted AI systems on infrastructure controlled by the people who depend on them.
- TypeScript
- Next.js
- Event-sourced
- MCP
krelvan.comGitHub
llmswap
03Provider-agnostic LLM SDK + CLI supporting 11 providers (OpenAI, Anthropic, Gemini, Groq, Watsonx, Ollama, xAI, Sarvam…) with zero vendor lock-in. Workspace memory, universal tool-calling, an MCP client, and cost visibility.
41K+ downloads · 5 contributors · Homebrew tapPyPIllmswap.orgGitHub
Asha Sahayak
04An RL environment for AI-assisted clinical triage for India's 1.07M frontline ASHA health workers. Multi-agent, adaptive curriculum, GRPO-trained to 0.947 peak reward. Built for the Meta × Hugging Face × PyTorch hackathon: Top 15 of 70,000+.
- Python
- OpenEnv
- GRPO · Qwen3
GitHubHuggingFace