coding-tools-mcp
Give any AI agent the ability to code
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Des dépôts sélectionnés avec une taxonomie précise, des métadonnées vérifiées et un contexte pratique.
Give any AI agent the ability to code
Understand your personal finances. Forget Excels, try Whisper Money.
[NeurIPS 2025] TTRL: Test-Time Reinforcement Learning
NekroAgent 是一个面向多人互动场景的跨平台 Agent 框架,集 Claude Code 沙盒执行、工作区编排、长期记忆、结构化 MCP 管理与可视化控制台于一体,兼具高扩展性、多模态交互、实时状态推送和自动化运行能力。项目支持 QQ、Discord、Telegram、Minecraft、BilibiliLive、WeChat、Email、SSE(SDK) 等多种平台接入,应用于构建高智能聊天机器人,可扩展为具备代码执行、工具调用、插件协作和复杂任务处理能力的通用 Agent 系统
Translate a whole season of subtitles in one pass — .srt/.ass/.vtt/.lrc, 120+ languages, 27 LLM providers, timing untouched | 整季字幕一次译完,时轴不动,支持 120+ 语言
Lightweight and portable LLM sandbox runtime (code interpreter) Python library.
The Simulink Agentic Toolkit gives your AI agent both the tools and the expertise to work effectively with Simulink and Model-Based Design.
Starter templates for Obsidian
Local AI assistant, dreaming explorable worlds.
AgentRQ: Human-in-loop realtime conversational task manager for AI Agents. Self-hosted! Control your own agents from wherever you want Mobile, Web, Desktop. Designed to work well with your own Claude subscriptions and any harness with ACP support.
FlagGems est une bibliothèque d'opérateurs pour les grands modèles de langage implémentés dans le langage Triton.
Detect non-atomic interactions within DB transactions
Z80-μLM is a 2-bit quantized language model small enough to run on an 8-bit Z80 processor. Train conversational models in Python, export them as CP/M .COM binaries, and chat with your vintage computer.
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Build your own high performance LLM inference engine in C++ and CUDA - a smaller version of vLLM
This repository demonstrates how to use Claude Code to do real engineering work, not just writing code. 本项目是极客时间专栏 《Claude Code 工程化实战》 的官方配套示例仓库,目标就是: 👉 把 Claude Code 从“对话式编码工具”,变成 可设计、可复用、可治理的工程系统。
一款完全开源的微信公众号文章获取、RSS 订阅 API 服务,支持整号文章一键导出 7 种格式(Markdown/HTML/Word/PDF/EPUB/Excel/JSON)、IP 代理池反风控、MCP 接入各种 AI Agent 工具。
llms 大模型 笔记50篇 此仓库包含关于机器学习、深度学习、计算机视觉、自然语言处理、大模型 爬虫等领域 项目实战
Run iOS/ macOS in Qemu. Virtual iPhone 17, 16, 15, 14, 13, 12 and M5-M1 Apple Si Macs supported.
NobodyWho is an inference engine that lets you run LLMs locally and efficiently on any device.