LLM 模型排行

Run PyTorch LLMs locally on servers, desktop and mobile

Beautiful, AI-native markdown IDE and LLM wiki

The memory-first, self-improving agent harness built on EverOS, with MiroThinker-powered deep research and reasoning.

一个基于LLM的演示文稿生成平台，能够自动将文档内容转换为专业的PPT演示文稿。平台支持多种AI模型，提供丰富的模板和样式选择，让用户能够创建高质量的演示文稿。

GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.

🔍 AI search engine - self-host with local or cloud LLMs

Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local).

Seamlessly integrate LLMs into scikit-learn.

The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing. Drop-in OpenAI replacement. Works with Claude Code, Cursor, Aider.

A curated list of Generative AI tools, works, models, and references

The platform for LLM evaluations and AI agent testing

Deep dive into Claude Code internals — architecture, agent loop, context engineering, and more. / 深入解析 Claude Code 源码：架构、Agent 循环、上下文工程、工具系统等

🦞 Just talk to your agent — it learns and EVOLVES 🧬.

The official repo of MiniMax-Text-01 and MiniMax-VL-01, large-language-model & vision-language-model based on Linear Attention

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.

总结Prompt&LLM论文，开源数据&模型，AIGC应用

✨ Reverse-engineered Python API for Google Gemini web app

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.