面向机器人的开源操作系统。The open-source operating system for robots
仓库/Skill 库
1420 个 · Agent 智能体
更便宜且更优秀的 Greptile 替代方案,运行在你自己的 GitHub Actions 上。Cheaper and better Greptile alternative runs on your own github actions.
面向 ComfyUI 的本地优先侧边栏 AI Agent——运行在你自己的 Claude 或 ChatGPT 订阅上(无需 API key,不产生额外 LLM 成本)。通过自然语言驱动你的实时图:编辑、工作流与安装。作为 comfyui-mcp 的面板 UI,comfyui-mcp 是 ComfyUI 的 Agent 原生控制平面。The local-first sidebar AI agent for ComfyUI — runs on your own Claude OR ChatGPT subscription (no API keys, no extra LLM costs). Drives your live graph: edits, workflows & installs in natural language. The panel UI for comfyui-mcp, the agent-native control plane for ComfyUI.
面向法律与重型文档工作流的 AI-native IDE 工作空间:文件、Agent、插件、WPS 编辑、OCR、证据链。律师的 VS Code。AI-native IDE workspace for legal and document-heavy workflows: files, agents, plugins, WPS editing, OCR, evidence chains. VS Code for lawyers.
Elixir 实现的 TRINITY(进化型 LLM 协调器):通过小模型隐藏状态路由器 + Axon 协调头路由 LLM 调用,采用 Thinker/Worker/Verifier 编排与基于验收驱动的策略循环TRINITY in Elixir (An Evolved LLM Coordinator): route LLM calls via a small-model hidden-state router + Axon coordination head, with Thinker/Worker/Verifier orchestration and policy loop for acceptance-driven completion.
文档驱动的文献综述流水线,包含反幻觉验证阶段(基于 OpenAlex/Crossref/Semantic Scholar 进行确认或剔除)。Document-driven literature-review pipeline with an anti-hallucination verification stage (confirm-or-drop against OpenAlex/Crossref/Semantic Scholar).
Zotero 9 的 AI 插件研究助手:与文献库对话、运行联邦学术搜索、RAG、OCR、系统综述,管理云存储,含独立 MCP、Agent 能力及 skills 库。Zotero AI plugin Research assistant for Zotero 9. Chat with your library, run federated scholarly search, RAG, OCR, systematic reviews, and manage cloud storage. Includes standalone MCP, Agentic capabilities, and skills library.
LitLLM:面向科学文献综述的工具包。LitLLM: A Toolkit for Scientific Literature Review
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.
开源研究管道 —— 文献综述、新颖性生成、引用验证与对抗性审查 | Open-source research pipeline — literature review, novelty generation, citation verification, and adversarial review.
通过终端或 AI agent 检索并申请覆盖 7 个国家(🇨🇭🇩🇪🇬🇧🇺🇸🇨🇦🇳🇱🇫🇷)约 4,700 个薪资透明的科技岗位——零依赖 Python CLI + MCP server + Claude Code 插件Search & apply to ~4,700 salary-transparent tech jobs across 7 countries (🇨🇭🇩🇪🇬🇧🇺🇸🇨🇦🇳🇱🇫🇷) from your terminal or AI agent — zero-dependency Python CLI + MCP server + Claude Code plugin
面向 Agent 的 Semantic Scholar API 封装 — 搜索 2 亿+ 论文、遍历引用、查找作者。Python 实现,带速率限制,支持多 Agent。Semantic Scholar API wrapper for agents — search 200M+ papers, traverse citations, find authors. Python, rate-limited, multi-agent.
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.
真实 AI Agent 安全事件、入侵和漏洞的精选时间线(2024-2026)。每条记录均标注来源和日期。A curated timeline of real AI agent security incidents, breaches, and vulnerabilities (2024-2026). Every entry sourced and dated.
关于"Hierarchical Decision-Making for Autonomous Driving"实现的丰富文献综述与讨论Rich literature review and discussion on the implementation of "Hierarchical Decision-Making for Autonomous Driving"
面向 OpenCode 与 Claude 的轻量级持久记忆伴侣A lightweight persistent-memory companion for OpenCode & Claude
一个接口对接九个基因组深度学习 oracle——变异效应预测、按轨道校准的百分位数与通过 MCP 提供的通俗易懂分析。One interface to nine genomic deep-learning oracles — variant effect prediction, calibrated per-track percentiles, and plain-English analysis through MCP.
用于可复现 AI Agent 评测的确定性、可分叉、有状态 MCP 测试世界——不对生产环境产生副作用。Deterministic, forkable, stateful MCP test worlds for reproducible AI agent evaluation—without production side effects.
通过 hooks 拦截 AI 编程 Agent 发起的 cargo/gcc 构建,并透明地将其路由到远程工作机器,像在本地编译一样返回产物。Intercepts cargo/gcc builds from AI coding agents via hooks and transparently routes them to remote worker machines, returning artifacts as if compiled locally
Find DSH plugins inside the agent — live GitHub dsh-plugin topic search, star-ranked / 会话内搜索发现 DSH 插件
端到端 AI 文献综述自动化:抓取、筛选、下载、多智能体评审与报告生成End-to-end AI literature review automation: crawl, screen, download, multi-agent review, and report generation
面向持续论证技巧的学术写作助手Academic Writing Assistant for Continuous Argumentation Technique
即插即用、成本高效且轻量化的长周期 LLM Agent 记忆插件A Plug-and-Play, Cost-Efficient, and Lightweight Memory Plugin for Long-Horizon LLM Agents
AI Agent 就绪的 CLI 框架,用于 Excel VBA 项目的编辑、测试、运行、追踪与差异比对。AI-Agent-ready CLI framework for editing, testing, running, tracing, and diffing Excel VBA projects.
基于 Cloudflare Workers 驱动的 ESP32 个人桌面 Agent。Personal desk agent for ESP32, powered by Cloudflare Workers
AI 编程智能体统一桌面工作台 | Desktop hub for managing Claude Code, Codex CLI, Gemini CLI & OpenCode. Tauri 2 · Rust · React · SQLite.
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.
Apeireth——一款基于 Rust 的 AGI 操作系统 / LLM 基座。85 个 crate:陪伴器官、世界模型、好奇心、假设检验、双层洋葱式安全Apeireth — An AGI Operating System / LLM Base (Rust). 85 crates: companion organ, world model, curiosity, hypothesis testing, double-onion security.
本地 MCP server,用于有状态、fail-closed 的 Logic Pro 控制与项目实时回读。Local MCP server for stateful, fail-closed Logic Pro control and live project readback.
开源、自托管的 Linear 替代方案。项目管理与 issue tracking,团队与 AI Agent 并肩协作完成产品规划与交付。Open-source, self-hosted alternative to Linear. Project management and issue tracking where teams and AI agents work side by side to plan and ship products.
为你的 AI 助手提供真实的网络搜索、整页阅读与多源研究能力,引用内容绝不伪造。Give your AI assistant real web search, full-page reading, and multi-source research with citations that are never fabricated.