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Trending on Aug 13, 2026

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  • 1.cathrynlavery/diagram-design

    Editorial diagram design for Claude Code, Codex, GitHub Copilot, Cursor, Factory Droid, Qoder, and Pi. 45 diagram types. Self-contained HTML + SVG. No shadows. No Mermaid slop.

    AI summary: A programmatic diagramming tool using a declarative schema to auto-generate beautiful system architectures.

    60,855+2,855 stars that daydeveloper-toolsHTMLMIT
  • 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.

    4,924+227 stars that dayproductivityRustAGPL-3.0
  • 3.stablyai/orca

    Orca is the place for working with a fleet of agents (e.g. Grok Bot, Claude Code). 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.

    105,859+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.

    43,453+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.

    68,069+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.

    92,857+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.

    107,303+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.

    3,441+421 stars that dayinfrastructureRustApache-2.0
  • 9.ZuodaoTech/everyone-can-use-english

    人人都能用英语

    AI summary: A structured methodology and resources for Chinese speakers to master English.

    39,232+86 stars that daylearningTypeScriptGPL-3.0
  • 10.smicallef/spiderfoot

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

    AI summary: An automated OSINT reconnaissance tool that gathers intelligence on targets from numerous sources.

    23,720+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.

    95,590+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.

    9,862+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.

    4,532+40 stars that dayai-mlKotlinApache-2.0
  • 14.cactus-compute/needle

    Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.

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

    14,262+315 stars that dayai-mlPythonApache-2.0