explainx ai
discover & monetize ai skills, agents, tools & mcp servers
explainx ai launched on May 2, 2026 with 73 votes, #546 of 20,538 launches that month and more than 95% of that year's launches.
What it does
ExplainX.ai is the hub where AI practitioners find everything they need — 10,000+ agent skills, 2,000+ MCP servers, 100,000+ AI tools, agents, LLMs, courses, and news, all ranked by real adoption. Built something? Publish your skill, agent, or MCP server on ExplainX and get discovered by thousands of builders. Free to list, open to the community.
Free personalized AI learning for you and your team: adaptive pathways with an AI tutor, live workshops, and 20+ hands-on bootcamps from instructors who've taught 350,000+ students. Plus everything you need to build with AI: 100k+ tools, 10k+ agent skills, 2k+ MCP servers, and 50+ self-paced courses.
A personalized AI learning dashboard for serious learners — guided by Melo, with free pathways, live workshops, and hands-on bootcamps. 20 pathways, basics to advanced agents — AI tutor on every article. Understand what AI actually is — tokens, transformers, agents, and the landscape. Start here if you're new. Go from vague requests to precise, reproducible AI outputs. The skill that underpins everything. Go from zero to productive with Claude Code — the terminal AI coding agent that ships real projects. Understand and build the loops, harnesses, and protocols that make AI agents reliable and autonomous. Practical AI adoption for your specific function — marketing, engineering, HR, finance,…from explainx.ai
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com