实用工具2 weeks ago
Releases · KBlip - The Signal Feed for the AI/LLM World
将 100 多个来源的 AI/LLM 新闻汇总成每日摘要线程。
jonam21 · HN
KBlip – turns AI/LLM news across 100 sources into daily digest threads
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将 100 多个来源的 AI/LLM 新闻汇总成每日摘要线程。
jonam21 · HN
KBlip – turns AI/LLM news across 100 sources into daily digest threads
用WebAssembly在浏览器运行和管理LLM模型
userfrom1995 · HN
Goku – WASM (wllama)-powered LLM inference and model manager
在 leaderboard 上按官方基准对比 AI 大模型的性能排名
fcten · V2EX
做了一个大模型 leaderboard 网站 最近一个月 CodeX 疯狂送重置，token 根本用不完，顺手做点东西。 地址：[知行录]( https://leaderboard.cn/) 排行依据主要为模型官方基准测试成绩。非主观排名。 数据会持续更新。如果有点用，欢迎各位 v 友收藏～
通过统一接口比较和使用多个大型语言模型。
u/DanTahirCode · Reddit
I built an open source coding agent with a personality - meet Klenny Code 🐾 Hey r/SideProject, my name is Dan Tahir, and I'm here to show off something I'm really proud of: Klenny Code, the open source coding agent with personality. A fully capable coding agent with memory and cross-project referencing, plus an assistant who can read your email, run scheduled tasks, pilot your browser, and be your corgi pal. Here's the pitch: bring your own OpenRouter API key, and Klenny wil
向多个AI模型提问，比较答案，观察它们辩论至共识。
u/trekhleb · Reddit
I kept pasting the same question into ChatGPT, Claude, and Gemini in three tabs; so I built a Yes-Brainer — a council of AI models, that answer your question in parallel, debate to consensus, or get judged to a verdict. submitted by /u/trekhleb to r/SideProject [link] [comments]
Axon grades your AI agents’ real conversations with an LLM judge: A–F scorecards, cited evidence, fixes and FinOps.
@tech_maju · X
Size your way to private local AI. Directional sizing for one resident text model: KV memory, combined prefill/decode serving, and runtime sessions. Compare eligible on-prem, sover
juxhinr · GitHub
bindwidth Evidence-aware on-prem LLM inference sizing and TCO calculator
用间隔重复法复习 LeetCode 题目，提升记忆和解题能力。
@JoydeepNath007 · X
为人类和AI代理记录和检索决策，追踪完整来源。
@burn2delete · X
Echo – Fable-level results at 1/3 the cost using open-weight models
adam_rida · HN
Echo – Fable-level results at 1/3 the cost using open-weight models
对比 AI 模型在编码任务上的表现,支持成本追踪和 ELO 排名。
@intheworldofai · X
On the World of AI Bench (vibe-coding composite): Claude Fable 5 → 85.2 GPT-5.6-sol → 82.4 kimi-k3 → 81.5 Moonshot’s K3 just walked in and claimed bronze on one of the toughest coding-focused leaderboards out there.
与能记忆并学习的 AI Veiled Prime 进行持续对话。
@Vematrex · X
5M views. 13K shares. Building Veiled Prime at The most insightful AI we know how to make. Built for people doing real work. One conversation. Real memory. No resets.