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Trending on Aug 13, 2026

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  • 1.cathrynlavery/diagram-design

    38 editorial diagram types for Claude Code, Codex, and Pi. Self-contained HTML + SVG. No shadows. No Mermaid slop.

    AI summary: An AI agent skill for generating 38 editorial-quality diagram types directly into self-contained HTML/SVG.

    37,673+2,855 stars that dayproductivityHTMLMIT
  • 2.macro-inc/macro

    Macro is a unified workspace for teams: email, chat, docs, tasks, agents, calls, and CRM — @-linked together with shared AI memory.

    AI summary: A unified workspace combining email, messaging, docs, tasks, and CRM into a single computable graph.

    4,257+227 stars that dayproductivityRustAGPL-3.0
  • 3.stablyai/orca

    Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.

    AI summary: An AI orchestrator enabling developers to run multiple autonomous coding agents simultaneously in parallel worktrees.

    65,099+1,235 stars that daydeveloper-toolsTypeScriptMIT
  • 4.shiyu-coder/Kronos

    Kronos: A Foundation Model for the Language of Financial Markets

    AI summary: First open-source foundation model designed specifically for analyzing financial candlesticks and market data.

    38,610+266 stars that dayai-mlPythonMIT
  • 5.hugohe3/ppt-master

    AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on demand, audio narration from speaker notes, and support for your own .pptx templates. · by Hugo He

    AI summary: An automated tool that generates professional PowerPoint presentations directly from markdown text or structured data.

    53,240+476 stars that dayproductivityPythonMIT
  • 6.infiniflow/ragflow

    RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

    AI summary: An open-source RAG engine for enterprise that provides deep document understanding and verifiable AI responses.

    90,462+139 stars that dayai-mlGoApache-2.0
  • 7.paperclipai/paperclip

    The open-source app everyone uses to manage agents at work

    AI summary: A lightweight AI agent designed to operate specifically within codebases and browser environments.

    80,416+571 stars that daydeveloper-toolsTypeScriptMIT
  • 8.NVIDIA-NeMo/Switchyard

    Switchyard lets LLM applications route traffic across models and providers while preserving native OpenAI and Anthropic API compatibility - enabling flexible model selection, benchmarking, and cost/performance optimization.

    AI summary: A fast Rust proxy and routing library for transparently translating and directing LLM traffic.

    2,831+421 stars that dayinfrastructurePythonApache-2.0
  • 9.ZuodaoTech/everyone-can-use-english

    人人都能用英语

    AI summary: A comprehensive, open-source methodology and guide for Chinese speakers to systematically learn and master English.

    37,453+86 stars that daylearningTypeScriptGPL-3.0
  • 10.smicallef/spiderfoot

    SpiderFoot automates OSINT for threat intelligence and mapping your attack surface.

    AI summary: An open-source OSINT automation tool that integrates over 200 data sources for comprehensive threat intelligence and reconnaissance.

    21,987+74 stars that daysecurityPythonMIT
  • 11.localsend/localsend

    An open-source cross-platform alternative to AirDrop

    AI summary: Secure, cross-platform local network file and message sharing via REST API without requiring an internet connection.

    90,510+213 stars that dayproductivityDartApache-2.0
  • 12.Lightricks/LTX-2

    Official Python inference and LoRA trainer package for the LTX-2 audio–video generative model.

    AI summary: An advanced open-source video generation model with sophisticated temporal, spatial, and audio synthesis capabilities.

    9,389+65 stars that dayai-mlPythonOther
  • 13.embabel/embabel-agent

    Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/

    AI summary: An intelligent agent framework for the JVM, bringing high-level composability and testing to LLM applications.

    4,427+40 stars that dayai-mlKotlinApache-2.0
  • 14.cactus-compute/needle

    14MB foundation model for tiny devices; phones, wearables, smart home, and robots.

    AI summary: A 26M parameter Simple Attention Network optimized for function calling.

    10,760+315 stars that dayai-mlPythonApache-2.0