1033 个 · AI 核心
面向编码 Agent 的本地运行时，以合并质量为优化目标：由仓库自适应常驻模型生成补丁，大模型进行验证。单进程同时支持 Anthropic + OpenAI API，天生离线运行。A local coding-agent runtime that optimises for merge quality: a repo-adapted resident model generates patches, a large model verifies them. Anthropic + OpenAI APIs from one process, offline by construction.
大语言模型（LLM）是一种人工智能（AI）程序，能够识别并生成文本，以及执行其他任务。A large language model (LLM) is a type of artificial intelligence (AI) program that can recognize and generate text, among other tasks.
在双 RTX 3090 GPU 上以 262K 上下文长度并发流运行 Qwen3.6-27B，开发工作已迁移至 club-3090。Run Qwen3.6-27B at 262K context with concurrent streams on dual RTX 3090 GPUs. Development moved to club-3090.
成本感知的 GitHub Copilot 工作流，用于清晰、有界且经过独立评审的软件变更。Cost-aware GitHub Copilot workflows for clarified, bounded and independently reviewed software changes.
追踪并比较每一个严肃的 OpenClaw 替代方案——基于实测仓库数据与 AI 撰写的决策支持，且刻意保持独立。Track and compare every serious OpenClaw alternative — measured repo data, AI-written decision support, kept apart on purpose.
针对 PX4 飞控软件的覆盖率引导事务语义审计研究 artifactResearch artifact for coverage-guided transactional semantic auditing of PX4 flight-control software.
CELLO protocol 的官方客户端——提供 MCP server 及面向 OpenClaw、NanoClaw、IronClaw、ZeroClaw 等 agent 变体的原生适配器。The official client for the CELLO protocol — MCP server and native adapters for OpenClaw, NanoClaw, IronClaw, ZeroClaw, and other agent variants
完全在浏览器中通过 WebAssembly 实现文档转换、检查、OCR 与翻译。保留版式的翻译，全程本地、离线优先。Convert, inspect, OCR, and translate any document entirely in the browser via WebAssembly. Layout-preserving translation, fully local, offline-first.
使用支持 macOS 和 Windows 平台的开源工具高效构建与定制机器学习模型Build and customize machine learning models efficiently with an open-source tool that supports macOS and Windows platforms.
面向长生命周期 Agent 与有状态负载的会话中心计算：暂停即保留记忆，按需恢复。Session-centric compute for long-lived agents and stateful workloads. Pause with memory intact; resume on demand.
面向有据可循的 Agent 工作流的 TypeScript 参考实现，支持混合检索、人工审核与可回放的审计追踪。TypeScript reference implementation for grounded agent workflows with hybrid retrieval, human review, and replayable audit trails.
面向 GitHub Copilot 的 Agentic 开发生命周期——计划、工作、证据与教训全部沉淀在 GitHub 上，而非聊天窗口中。Agentic development lifecycle for GitHub Copilot — the plan, the work, the evidence, and the lessons all live on GitHub, not in chat windows.
开源、本地优先的足球数据、分析与内容工作流。Open-source, local-first football data, analysis, and content workflow.
Astro 静态站点，英意双语，安全设计（security-by-design），AI 辅助的月度 RAG 杂志。部署于 Cloudflare。Astro (static), bilingual EN/IT, security-by-design, AI-assisted monthly RAG magazine. Deployed on Cloudflare.
驾驶 Claude Code Agent 的驾驶舱——打磨「指示→等待→审查→再指示」循环的桌面 Cockpit（非官方）。A cockpit for piloting Claude Code agents — 指示→待機→レビュー→再指示のループを磨くデスクトップコックピット (unofficial)
探索高达 400B 参数的先进稀疏 Mixture-of-Experts 模型，采用创新训练技术实现卓越性能🚀 Explore advanced sparse Mixture-of-Experts models with up to 400B parameters, featuring innovative training techniques for superior performance.
MAI-Code 模型的官方仓库，用于发布 MAI-Code 模型版本与更新，并通过 issue 与反馈与开发者社区互动。Official repo for MAI-Code models, where we publish MAI-Code model releases and updates and engage with developer community on issues and feedback.
Microwave Method：agent 工厂 + 受治理的 LLM wiki。每个 agent 一次性重型处理，每个 feature 轻量处理。上下文只"烹饪"一次，按缓存价"回热"。Microwave Method: agent factory + governed LLM wiki. Heavy pass once per agent, light pass per feature. Context is cooked once, reheated at cache price.
使用纯 C 从零构建 LLM 推理引擎，不依赖任何框架。Build an LLM inference engine from scratch in pure C with no frameworks.
Claude Code 动态工作流的指挥中心 — 实时 agent 可观测性、跨项目运行历史、保存与重放。零依赖的 Claude Code 插件。Mission control for Claude Code dynamic workflows — live agent observability, cross-project run history, save & re-run. A zero-dependency Claude Code plugin.
涵盖 RAG、AI Agent、评估与商业智能的实战 AI 应用项目集。Practical AI application projects across RAG, AI agents, evaluation, and business intelligence.
借助这款自托管、本地优先的应用，跨多个账户与多种货币追踪收入和支出。Track income and expenses across multiple accounts and currencies with this self-hosted, local-first application.
🐺 创新型 LLM 驱动 12 人狼人杀模拟，针对直播优化并支持 OBS 无缝集成🐺 Experience an innovative, LLM-driven Werewolf simulation for 12 players, optimized for live streaming and designed for seamless integration with OBS.
通过单一严格的 YAML 清单统一管理本地 LLM 运行时——支持状态查看、健康检查、启动、停止，基于原生 systemd 与 Docker。Manage local LLM runtimes from one strict YAML manifest — status, doctor, start, stop over native systemd and Docker.
本地使用 AI 总结视频，从讲座、会议和教程中提取视觉亮点与文本摘要，基于 RTX 40 系列 GPU 的 CUDA 加速Summarize videos locally with AI, extracting visual highlights and text summaries from lectures, meetings, and tutorials using CUDA on RTX 40-series GPUs
基于 n8n 构建的 AI agent，用于阅读、分类和回复询价邮件，并与 Google Sheets 和 Gmail 集成。AI agent created in n8n for reading, sorting, and replying to quote emails, integrated with Google Sheets and Gmail.
可移植的 Cursor/Claude agent skills，覆盖 GitLab MR 评审、事故 RCA、Kubernetes 资源调整、团队归属与组织汇总，支持注册表驱动安装、行为评估与组合契约Portable Cursor/Claude agent skills for GitLab MR review, incident RCA, Kubernetes rightsizing, squad ownership, and org rollups — registry-driven install, behavioral evals, composition contracts.
Pinakes —— 可移植、Agent 优先的知识库。一个目录即一个 KB。Pinakes — a portable, agent-first knowledge base. One directory = one KB.
每日提示词，激发 nano banana 生成灵感。Daily prompts to inspire nano banana generation.
GeneTech 14 — 多领域实体集合（6700+ 实体，覆盖 14 个领域）GeneTech 14????? - ?????????? (6700+ entities, 14 domains)
AI 时代的工具联盟：可追溯的知识（Nexus·Archon）、可问责的审查与治理（Arbiter·Observer）、可理解的变更质量（Adept·Probe）。AI 构建，你来理解。An alliance of tools for the AI era: grounded knowledge (Nexus·Archon), accountable review & governance (Arbiter·Observer), and comprehension & mutation quality (Adept·Probe). AI builds it — you understand it.
🚀 使用 Fast-LLM 加速 LLM 训练，一个面向高速、可扩展、灵活模型开发的开源库🚀 Accelerate LLM training with Fast-LLM, an open-source library for high-speed, scalable, and flexible model development.
大语言模型监督微调的反馈对齐方法Feedback alignment for supervised fine-tuning of large language models
一个工作流框架，适配所有编码 agent。通过与工具无关的核心，将你的 AI 编码规范安装到 Claude Code、Cursor、GitHub Copilot、Gemini CLI、Codex 和 Windsurf。Apache 2.0。One workflow framework, every coding agent. Install your AI-coding discipline into Claude Code, Cursor, GitHub Copilot, Gemini CLI, Codex, and Windsurf from one tool-agnostic core. Apache 2.0.
metaScreener——基于插件的桌面应用，用于 human-in-the-loop systematic literature screening。在顺序可审计的 pipeline 中结合确定性启发式过滤与 LLM 推理，通过 SHA-256 校验包实现完全可复现。MIT 协议。metaScreener — a plugin-based desktop application for human-in-the-loop systematic literature screening. Combines deterministic heuristic filters with LLM inference in a sequential, auditable pipeline. SHA-256 verified bundles for full reproducibility. MIT licensed.