截至 周报
不可变周度归档
本期新采集 1738 个,判定含往期积压。
本周实测
本周只有 5/7 天日报,汇总不代表完整自然周。
open-science
证据不足- 一致性
- 未形成
- 输出质量
- 未形成
- 失败模式
- 未观察
- 好用度
- 不计分
- 不适合
- 需要免登录、可立即直接体验的用户
personal-model
证据不足- 一致性
- 未形成
- 输出质量
- 未形成
- 失败模式
- 未观察
- 好用度
- 不计分
- 不适合
- 需要免登录、可立即直接体验的用户
open-science
证据不足- 一致性
- 未形成
- 输出质量
- 未形成
- 失败模式
- 未观察
- 好用度
- 不计分
- 不适合
- 需要免登录、可立即直接体验的用户
cindy
证据不足- 一致性
- 未形成
- 输出质量
- 未形成
- 失败模式
- 未观察
- 好用度
- 不计分
- 不适合
- 需要免登录、可立即直接体验的用户
Vibe-Research
证据不足- 一致性
- 未形成
- 输出质量
- 未形成
- 失败模式
- 未观察
- 好用度
- 不计分
- 不适合
- 需要免登录、可立即直接体验的用户
本周新发现
- kimi-k3-in-c
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
- thinking-orbs
Dotted thought-orb loading indicators for AI & agent UIs, 9 tuned types, two sizes, auto dark/light
- genoffice
An AI-native office suite for macOS and Windows: word processor, spreadsheet, presentations, and PDF.
- personal-model
Build your HUMAN.md.
- drawio-scientific-illustrator
Live MCP control of the visible draw.io canvas for step-by-step scientific illustration in Codex.
- codex-slides
🎨 Open-source AI slide studio inside Codex: image-native decks, every slide a full visual canvas. ⚡ 10+ high-quality slides in ~4–5 minutes — Fast mode renders every page in parallel. 🔍 Watch the whole chain live: research → outline → style → render → edit → present → export PDF/PPTX. 🖥️ Browser-first · zero API keys · durable projects.
- KiroCrew
A persistent workspace for development work that self-improves and continues beyond one session.
- memmy-agent
🍙 A personal AI agent & local memory hub for all AI agents like Claude Code, Codex, OpenClaw and Hermes Agent. Gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you.
- deja-vu
Your agents already solved this. deja finds it — it indexes the sessions your coding agents already wrote to disk, months of history from before you installed it, and recalls them automatically at session start across seventeen harnesses. 84.9% hit@1 on LongMemEval-S, no LLM, no embeddings. One zero-dep binary, fully local.