语音 AI API 的开放价格数据库 —— STT、LLM、TTS、S2S、VAD。Open price database for voice AI APIs - STT, LLM, TTS, S2S, VAD
仓库/Skill 库
1263 个 · 应用
首个内置 MCP(server + client)的语言;Semantic Pipeline Runtime 提供 198 个内建函数、AI pipeline、沙箱化 Agent,单一二进制约 7 MB,零依赖。The first language with built-in MCP (server + client). Semantic Pipeline Runtime: 198 builtins, AI pipelines, sandboxed agents, single ~7 MB binary, zero dependencies.
Spec Seatbelt 让 AI 编程 Agent 保持诚实:先写计划、逐步证明、以全新视角验证;一次加载一个阶段(token 用量减少约 70%);持久化的 .specs/ 记忆、循环计划波次与任务图,支持安全的并行工作。支持 Cursor 与 ClaudeSpec Seatbelt keeps AI coding agents honest: write the plan first, prove each step, verify with fresh eyes. Load one phase at a time (~70% fewer tokens). Persistent .specs/ memory, loop-plan waves, and task graphs for safe parallel work. Cursor & Claude.
可复用的 AI Agent Skill,支持多 IDE 同步、导出与发布工作流Reusable AI agent skills with multi-IDE sync, export, and publishing workflow
AI4Scholar for DeepSeek Harness (dsh):38 个原生学术工具——Semantic Scholar、PubMed、Google Scholar、arXiv、bioRxiv/medRxiv、DOI、全文、自动引用、图表、统一搜索。由 ai4scholar.net 提供支持AI4Scholar for DeepSeek Harness (dsh): 38 native academic tools — Semantic Scholar, PubMed, Google Scholar, arXiv, bioRxiv/medRxiv, DOI, full text, auto-cite, figures, unified search. Powered by ai4scholar.net
在完全运行于浏览器的单文件 Web 应用中,查找开放获取期刊(Diamond OA 或 APC,含 SCImago 排名)、CS 会议截止日期(CCF/CORE)以及摩洛哥的研究活动。Find open access journals (Diamond OA or APC, with SCImago rankings), CS conference deadlines (CCF/CORE), and research events in Morocco a single-file web app running entirely in your browser.
使 AI agent 能够在任何市场上自主创建、评估与进化 Skill,无需用户干预Enable AI agents to autonomously create, evaluate, and evolve skills across any marketplace without user intervention.
Solana 上面向 AI Agent 的非托管 RWA + 收益服务。提供 10 个 MCP 工具——对比收益、报价/买卖代币化美股(Backed xStocks)以及 Ondo USDY 国债。签名由用户钱包自行完成。Non-custodial RWA + yield service for AI agents on Solana. 10 MCP tools — compare yields, quote/buy/sell tokenized US stocks (Backed xStocks) and Ondo USDY treasuries. User signs in their own wallet.
本地优先的 AI 论文阅读助手 —— Agentic RAG、引文追溯、Electron 桌面应用,完全离线。Local-first AI reading assistant for academic papers — Agentic RAG, citation tracing, Electron desktop app, fully offline
将任意视频链接转化为博士级研究报告。自动化学术流水线:一键完成下载、转写、检索同行评审文献、核查论据并生成带引用的报告。免费且开源。Turn any video url into a PhD-grade research report. Automated academic pipeline: download, transcribe, search peer-reviewed literature, verify claims, generate cited reports — all with one command. Free & open source.
🖥️ 通过终端中键盘优先的 Kanban board 简化工作流,实现快速、专注的任务管理。🖥️ Streamline your workflow with a keyboard-first Kanban board in your terminal for fast, focused task management.
使用 SQLite 和 FAISS 存储、整合与召回 coding agent 记忆,附带 provenance 追踪,实现快速、结构化的知识访问Store, consolidate, and recall coding agent memories with provenance tracking using SQLite and FAISS for fast, structured knowledge access.
THIS PAPER IS FOR ENTERTAINMENT PURPOSES ONLY.この小説はフィクションであり、実在する団体または個人とは関係ありません。
Agents as Infrastructure。自托管多 Agent MCP server——具备 workspace、持久记忆与层级结构的长期运行 Agent。配备真实管理 UI、OAuth 2.1、静态加密 secrets。Agents as Infrastructure. Self-hosted multi-agent MCP server — long-lived agents with workspaces, persistent memory, and hierarchy. Real admin UI, OAuth 2.1, encrypted secrets at rest.
🏋️♂️ 轻松将 TrainingPeaks 接入 AI 助手。无需 API 审批即可查询训练、分析数据并追踪健身趋势🏋️♂️ Connect TrainingPeaks to AI assistants with ease. Query workouts, analyze data, and track fitness trends without API approval hassles.
🌟 利用 GPU 加速 Apple Silicon 上的 SQLite 数据库操作,提升分析速度与数据管理效率🌟 Accelerate SQLite database operations on Apple Silicon with GPU power for faster analytics and efficient data management.
面向 Claude 等 LLM agent 的 MCP server,对 CSV、Parquet、Excel、JSON 等表格数据进行 profiling。MCP server that profiles tabular data files (CSV, Parquet, Excel, JSON) for LLM agents like Claude.
AI Agent 的认知操作系统——浏览器与计算机智能、持久化任务、记忆、恢复、证据与受治理的真实世界行动。A cognitive operating system for AI agents — browser & computer intelligence, persistent missions, memory, recovery, evidence, and governed real-world action.
基于 LlamaIndex、Redis 与 PII 脱敏的 RAG 搜索引擎。RAG search engine using LlamaIndex, Redis, and PII masking.
基于课程大纲的 skill 图谱搭配 AI 学习教练——将官方课程转化为带依赖关系的学习路径,并追踪掌握程度。目前覆盖德国 Gymnasium(文理中学)课程。Curriculum-backed skill graphs with an AI learning coach — official curricula turned into dependency-aware learning paths with mastery tracking. Currently covering German Gymnasium.
opencode 的持久化记忆 MCP server:Redis 存储事实、ChromaDB 语义搜索、文档存储、幂律记忆衰减、agent 身份;内置官方 Claude.app OAuth,可使用 Claude Max 套餐且规避第三方检测;一键安装。Persistent memory MCP server for opencode — Redis facts, ChromaDB semantic search, document storage, power-law memory decay, agent identity. Plus first-party Claude.app OAuth: use your Claude Max plan without third-party detection. One-command install.
本地优先的 Markdown、Typst 与 LaTeX 编辑器,支持桌面端与移动端。A local-first Markdown, Typst and LaTeX editor for the desktop and mobile
使用先进的 RAG 系统发现你的下一部心仪动画,提供精准推荐与增强语义搜索。🎬 Discover your next favorite anime with this advanced Retrieval-Augmented Generation system, offering precise recommendations and enriched semantic search.
面向 AI Agent 的低开销记忆后端 —— 单二进制,内存占用约 50MB,支持验证增强准确性Low-footprint memory backend for AI agents — single binary, ~50MB RAM, verify-augmented accuracy
Delta-9 MAW — 按严重程度(P0–P3)路由的多 Agent 异常处理流水线 + TOTP 操作面板,并配套线上 d9bkk.com 会员商店(KYC、D9-Wallet、PromptPay、TCG Lottery Pack)。Delta-9 MAW — severity-routed multi-agent anomaly pipeline (P0–P3) + TOTP operator panel, alongside the live d9bkk.com member storefront (KYC, D9-Wallet, PromptPay, TCG Lottery Pack).
LLM 的工作记忆。一个供 agent 钉存与更新的会话图,避免将所有内容倾倒到聊天中。Working memory for LLMs. One session graph that agents pin and update — without dumping everything into chat.
使用 YAML 声明式地定义并执行多 Agent AI 工作流,通过自动上下文处理简化编排并增强协作。🤖 Define and execute multi-agent AI workflows declaratively using YAML, simplifying orchestration and enhancing collaboration through automatic context handling.
Claude Code 的治理与可审计层:在 CEO 协议下运行由专业 Agent 组成的结构化团队——plan→debate→execute 门控、防篡改审计日志、跨 LLM 双重护栏。Governance & auditability layer for Claude Code: run a structured team of specialist agents under a CEO protocol — plan→debate→execute gating, tamper-evident audit log, cross-LLM pair-rail.
针对 AI Agent 的确定性审批、拒绝、取消、超时、重放及副作用安全测试 —— 无需 API key。Deterministic approval, rejection, cancellation, timeout, replay, and side-effect safety tests for AI agents—no API keys required.
为 AI agent 提供可验证的记忆:写入受控、读取带溯源、双时态历史、无法回答时选择 abstention 而非幻觉。AGPL/商业双重许可。Verified memory for AI agents: gated writes, provenance on every read, bi-temporal history, abstention instead of hallucination. AGPL/commercial.
通过面向编码 Agent 的多 Agent Skill 工具包自动化论文写作,使用 PaperOrchestra 流水线将非结构化数据转换为 LaTeX 论文Automate research paper writing with this multi-agent skill pack for coding agents. Convert unstructured data into LaTeX papers using the PaperOrchestra pipeline.
Sago AI:数秒内从 Markdown 描述生成任意应用(2026)🚀 Sago AI: Generate Any App from a Markdown Description in Seconds (2026)
一个面向 PDF 文档问答的全栈 RAG 应用:上传 PDF,将其索引到本地向量库,然后基于页面级答案进行对话,并在内置阅读器中通过可点击引用跳转到对应页面。A full-stack retrieval-augmented generation (RAG) application for question answering over PDF documents. Upload a PDF, index it into a local vector store, then chat with page-grounded answers and clickable citations that jump to the right page in the built-in viewer.