576 个
面向法律及文档密集型工作流的 AI 原生 IDE 工作区：文件、Agent、插件、内置支持修订追踪的文档编辑、OCR、证据链。律师的 VS Code。AI-native IDE workspace for legal and document-heavy workflows: files, agents, plugins, built-in document editing with tracked changes, OCR, evidence chains. VS Code for lawyers.
FactCircuit：具备不可篡改来源、分阶段检查、有界检索与可复现评估的可审计主张-证据验证回路。FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.
🧠💻 将互联网重新构想为自组织思维导图 🤖🔎 STREAM：基于顶部结果提取与答案模型的搜索 📈📝 REASON 文档撰写 Agent 🚜📜 Tractor 文本提取器 🔤📊 SEEKTOPIC🧠💻 Reimagine the Internet as Self-Organizing Mind Map 🤖🔎 STREAM: Search with Top Result Extraction & Answer Model 📈📝 REASON Docs Writing Agent 🚜📜 Tractor the Text Extractor 🔤📊 SEEKTOPIC
AI 驱动的文献综述工具利用机器学习加速并加强识别、分析与综合相关研究的学术流程。AI-powered literature review tools leverage machine learning to expedite and enhance the scholarly process of identifying, analyzing, and synthesizing relevant research.
让 HUAWEI MateBook E Go 2022 性能版（GK-W76）在 Ubuntu 上获得完整的、全面适配，从能用到能日用的体验。并深度适配Linux，增强在Linux主系统下原生运行Windows应用和Android应用的流转能力。
DeepSeek Harness 换肤 / 壁纸 / 主题包插件 (dsh-plugin) — 8 套 Mirage 主题、每用户强调色、壁纸2.0、主题包导入导出/分享链接、收藏与随机，纯原生 token 系统实现。
Promptfoo 的 GitHub Action。可用于测试 prompt、Agent 与 RAG；支持 LLM 的 AI 红队对抗、渗透测试与漏洞扫描；对比 GPT、Claude、Gemini、Llama 等模型的性能；通过简洁的声明式配置集成命令行与 CI/CD。The GitHub Action for Promptfoo. Test your prompts, agents, and RAGs. AI Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.
AI-ML Companion：一个通过"看 AI 运作"来学习 AI 与 ML 的交互式平台 — 28 条学习路径、400+ 模块、实时可视化 — 另有 20+ 端到端真实项目，覆盖经典 ML、深度学习、计算机视觉到生产级 LLM 与多 Agent 系统。AI-ML Companion: an interactive platform to learn AI & ML by watching it work - 28 tracks, 400+ modules, live visualizations - plus 20+ end-to-end real world projects from classical ML, DL, Computer Vision to production LLM & multi-agent systems.
动手学大模型全栈：CS336 中文精讲 · PyTorch 手搓 Transformer · 单卡复现 Pretrain/SFT/LoRA/DPO/GRPO/RLVR · PEFT/Agent/RAG 落地（含真实实验、曲线与复现脚本）
macOS 上快速、精确的磁盘空间资源管理器，配备实时 sunburst 图。Rust + GPUI。A fast, exact disk-space explorer for macOS with a live sunburst chart. Rust + GPUI.
DeepSeek Harness (dsh) 自托管多用户云平台：提供隔离工作空间、持久化存储、访问控制与资源配额。Self-hosted multi-user cloud platform for DeepSeek Harness, with isolated workspaces, persistent storage, access control, and resource quotas.
RuvNet Brain——基于 Reuven Cohen（rUv）的 RuvNet 技术栈（RuVector/RVF、Ruflo、AgentDB、RuLake、SPARC 及 21 个构建块）为 Claude Code 提供一个可下载、源码溯源的"大脑"。通过单一 MCP 工具（search_ruvnet）让 Claude 立足真实源码，而不是脱离技术栈空想。RuvNet Brain — a downloadable, source-grounded brain for Claude Code over Reuven Cohen's (rUv's) RuvNet stack: RuVector/RVF, Ruflo, AgentDB, RuLake, SPARC + 21 building blocks. Grounds Claude in real source via one MCP tool (search_ruvnet), so it builds with the stack instead of drifting off it.
面向 Polymarket 预测市场的交易机器人——可在终端浏览 CLOB 市场、查看订单簿，并执行 edge detection、流动性提供与跨市场套利策略，支持 paper trading 与风险限额。开源教育工具——不构成投资建议。非官方社区项目，与 Polymarket 无关。Polymarket trading bot for prediction markets — browse CLOB markets, watch the order book in the terminal, run edge detection, liquidity provision and cross-market arbitrage strategies with paper trading and risk limits. Educational open-source toolkit — not financial advice. Unofficial community project, not affiliated with Polymarket.
一个专为辅助研究活动而精选的 AI 工具列表，涵盖文献综述、引文管理、数据分析等工具，面向希望借助 AI 提升研究工作流的研究人员、学生和从业者。A curated list of AI tools specifically designed to assist in research activities, including tools for literature reviews, citation management, data analysis, and more. This repository is intended for researchers, students, and professionals who want to leverage AI to enhance their research workflows.
通过 MCP 为 Claude Code 提供持久化长期记忆 — 跨会话捕获编码决策、Bug 修复和上下文。采用 FTS5 + TF-IDF 混合搜索与 episode 批处理。单一 SQLite 数据库，无需外部服务。作为 claude-mem 的替代方案，成本降低 600 倍。Persistent long-term memory for Claude Code via MCP — captures coding decisions, bugfixes, and context across sessions. Hybrid FTS5 + TF-IDF search with episode batching. Single SQLite DB, no external services. Alternative to claude-mem with 600x lower cost.
为 AI 编码 Agent 提供长期、跨项目的记忆。以你自己的 Obsidian 仓库为唯一信源。无守护进程、不依赖不透明数据库，记忆归你所有。Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.
覆盖 100+ 操作系统上 100+ 浏览器的自动化 User-Agent 数据库。通过 GitHub Actions 每 5 分钟更新一次。按真实流行度加权，按 OS 与浏览器分组，并附带累积的 ALL/ 文件夹存放唯一 agent。Automated User-Agent database for 100+ browsers on 100+ operating systems. Updated every 5 minutes via GitHub Actions. Weighted by real-world popularity, grouped by OS and browser, with a cumulative ALL/ folder of unique agents.
视觉定位的文献综述Literature review of visual localization.
📚🔭 你的个人研究雷达 — 由 LLM 驱动的工具，可跨 arXiv / Crossref / Semantic Scholar / GitHub / RSS 自动聚合你关键词的最新论文。📚🔭 Your personal research radar — an LLM-powered tool that auto-aggregates the latest papers for your keywords across arXiv / Crossref / Semantic Scholar / GitHub / RSS.
ICLR 2026 Oral 论文 "Q-RAG: Long Context Multi-Step Retrieval via Value-Based Embedder Training" 的官方仓库。Official repository for the ICLR 2026 Oral Paper🔥 “Q-RAG: Long Context Multi-Step Retrieval via Value-Based Embedder Training”
面向编程 Agent 的更快运行时。平均提速 25%、降本 30%，同时质量持平或更优。同等任务、同等质量，更快更便宜。Faster runtime for coding agents. Make coding agents 25% faster and 30% cheaper on average while keeping the quality same or more. Same Task, Same Quality, Faster and Cheaper.
Cognee Rust——快速且高性能的 AI 记忆引擎Cognee Rust - fast and performant AI memory engine
Zorv AI — 安卓 Android 端开源 AI Agent 智能体助手。多模型对话、人格系统、记忆、语音全双工 TTS/STT、定时任务、可扩展工具链、飞书/QQ/微信接入。Kotlin + Jetpack Compose 开发。
开源元搜索引擎后端、MCP server 与面向 LLM agent 的 AI 搜索 API。基于 Python FastAPI 的搜索网关，通过 SerpBase 与 Serper 集成 Google 搜索，支持多引擎搜索聚合、结构化 JSON 输出、provider 回退与去重，并提供 SearXNG 替代架构以适配 agent 工作流。Open-source metasearch backend, MCP server, and AI search API for LLM agents. Python FastAPI search gateway with Google search via SerpBase and Serper, multi-engine search aggregation, structured JSON output, provider fallback, deduplication, and SearXNG alternative architecture for agent workflows.
生产级多 Agent 编排引擎。从可插拔的 Agent、LLM、工具与 retriever 目录组合 Agentic 工作流；本地使用 LangGraph 执行，或通过 Temporal 分布式执行。内置 RAG 管道用于企业知识检索，支持 A2A 与 MCP 协议，提供可视化拖拽蓝图构建器。Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers. Execute locally with LangGraph or distributed with Temporal. Built-in RAG pipeline for enterprise knowledge retrieval. A2A and MCP protocol support. Visual drag-and-drop blueprint builder.
智能多 agent 对话助手，采用 LangGraph 编排，支持 Human-in-the-Loop、企业级可观测性与完整 i18n 支持（6 种语言）。Smart multi-agent conversational assistant with LangGraph orchestration, Human-in-the-Loop, enterprise-grade observability, and full i18n support (6 languages)
SPY put-credit 验证与真金白银的 control plane，具备券商账本支持、确定性 risk gates、hybrid RAG、对账及每月 $1k 税后收益证据追踪。SPY put-credit validation and real-money control plane with broker-backed ledgers, deterministic risk gates, hybrid RAG, reconciliation, and $1k/mo after-tax evidence tracking.
📚 AI 驱动的论文阅读工作台。基于项目的论文问答，集成 Hybrid RAG、多 Agent 工作流（ReAct/Plan-Act/RePlan）、长期记忆与可溯源证据。使用 LangChain + LangGraph + Streamlit 构建。📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGraph + Streamlit.
🤖 面向智能体文献综述的最强开源 AI agent 工具精选清单 — 覆盖 11 个类别共 70+ 工具（Claude Code skill、深度研究、MCP server、PDF 解析、系统综述）。🤖 The strongest curated list of open-source AI-agent tools for literature review — 70+ tools across 11 categories (Claude Code skills, deep research, MCP servers, PDF parsing, systematic review). 面向智能体文献综述的最强工具大全。
八平台全栈 AI 操作系统——通过 LangGraph + MCP + A2A 统一调度 176 个 LLM；340 表多租户 RLS、RAG 知识库、agent 市场，覆盖 Web/API/CLI/桌面/扩展/移动/小程序，Apache 2.0。Eight-platform full-stack AI operating system - unifies 176 LLMs via LangGraph + MCP + A2A. Multi-tenant RLS over 340 tables, RAG knowledge base, agent marketplace. Web/API/CLI/Desktop/Extension/Mobile/Miniapp. Apache 2.0.
面向 RAG 与 Agent 流水线的快速、确定性文档解析器与切分器，内置 MCP server，便于 Agent 精确导航长文档。Fast, deterministic document parser and chunker for RAG and agent pipelines. Ships an MCP server for agents navigating long documents with precision.
可自托管的 Agentic OS：通过签名插件构建、运行与审计多 Agent AI 团队。自带 LLM key，数据完全自有，符合 EU/GDPR 要求。Self-hostable agentic OS. Build, run & audit multi-agent AI teams from signed plugins. Bring your own LLM key, own all your data, EU/GDPR-ready.
生产级多 Agent 平台，提供编排、会话治理和审计能力。技术栈：Go/Python/Rust 微服务、多类型数据存储、Next.js 管理后台 UI、自动化 CI/CD 流水线、通过 PR 评论提及触发的 AI 代码审查。Production-ready multi-agent platform delivering orchestration, session governance and audit capabilities. Stack: Go/Python/Rust microservices, multi-type data storage, Next.js admin UI, automated CI/CD pipelines, AI code review triggered via PR comment mentions.
自动更新的开源知识库，面向 AI Agent、RAG 系统、MCP server、prompt、tool、模板以及新一代 Web 开发。An auto-updating open-source vault for AI agents, RAG systems, MCP servers, prompts, tools, templates, and next-generation web development.