
frontier.fast — inference, measured
提交 LLM 推理优化内核,在专用硬件上进行基准测试并竞争排名。
carsenk · HN
Frontier.fast – Help push the frontier of LLM speed forward
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提交 LLM 推理优化内核,在专用硬件上进行基准测试并竞争排名。
carsenk · HN
Frontier.fast – Help push the frontier of LLM speed forward

在平台上管理和同步你的AI Agent技能配置,避免供应商锁定。
@matebenyovszky · X
I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.

AcruxCore is an LLM-ops platform for engineering teams: version prompts, route LLM calls through an OpenAI-compatible gateway, trace every request, catalog tools, and evaluate qual
@AcruxCore · X