Github Top Repositories
Photo
ð 666ghj/MiroFish caught my eye on GitHub Trending today.
ð https://github.com/666ghj/MiroFish
ð A Simple and Universal Swarm Intelligence Engine, Predicting Anything. įŪæīéįĻįįūĪä―æšč―åžæïžéĒæĩäļįĐ
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MiroFish is a cutting-edge AI prediction engine that utilizes multi-agent technology to forecast outcomes. By analyzing real-world data, it creates a parallel digital world where thousands of intelligent agents interact and evolve. This allows users to rehearse the future in a digital sandbox and make informed decisions after simulating various scenarios.
Key features include:
-
-
-
The workflow involves:
1. Graph building and environment setup
2. Simulation and report generation
3. Deep interaction with the simulated world
Technical highlights include:
- Utilization of
- Support for
The target audience includes decision-makers, researchers, and individuals interested in exploring what if scenarios.
To get started, users can deploy MiroFish via source code or Docker, and join the conversation on social media platforms.
In a nutshell, MiroFish is all about predicting anything - from serious predictions to playful simulations, making it possible to rehearse the future and win decisions after countless simulations.
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ð§ Channel: https://t.me/GithubRe
ð https://github.com/666ghj/MiroFish
ð A Simple and Universal Swarm Intelligence Engine, Predicting Anything. įŪæīéįĻįįūĪä―æšč―åžæïžéĒæĩäļįĐ
ââââââââââââââââââââââââââââââ
MiroFish is a cutting-edge AI prediction engine that utilizes multi-agent technology to forecast outcomes. By analyzing real-world data, it creates a parallel digital world where thousands of intelligent agents interact and evolve. This allows users to rehearse the future in a digital sandbox and make informed decisions after simulating various scenarios.
Key features include:
-
Graph Building: extracting seed information and constructing a high-fidelity digital world-
Simulation: running parallel simulations to predict future trajectories-
Report Generation: generating detailed prediction reportsThe workflow involves:
1. Graph building and environment setup
2. Simulation and report generation
3. Deep interaction with the simulated world
Technical highlights include:
- Utilization of
OASIS (Open Agent Social Interaction Simulations) for the simulation engine- Support for
LLM API and Zep Cloud configurationsThe target audience includes decision-makers, researchers, and individuals interested in exploring what if scenarios.
To get started, users can deploy MiroFish via source code or Docker, and join the conversation on social media platforms.
In a nutshell, MiroFish is all about predicting anything - from serious predictions to playful simulations, making it possible to rehearse the future and win decisions after countless simulations.
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ð§ Channel: https://t.me/GithubRe
⥠mvanhorn/last30days-skill is making waves. Here's the full picture.
ð https://github.com/mvanhorn/last30days-skill
ð AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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The mvanhorn/last30days-skill GitHub repository is home to a revolutionary AI agent-led search engine. This engine scores results based on upvotes, likes, and real money, rather than editor opinions. Key features include zero-config setup, immediate functionality with Reddit, HN, Polymarket, and GitHub, and the ability to unlock more platforms like X, YouTube, and TikTok in just 30 seconds.
Technical highlights of this repository include the use of a
This repository is perfect for anyone looking to stay up-to-date on the latest developments in their field, including developers, researchers, and industry professionals. With its ability to search multiple platforms at once and provide a brief summary of the most relevant information, mvanhorn/last30days-skill is an invaluable resource.
To get started, users can install the skill using
One-liner takeaway: mvanhorn/last30days-skill is a game-changing search engine that uses AI to scour multiple platforms and provide you with the most relevant, up-to-date information on any topic.
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ð§ Channel: https://t.me/GithubRe
ð https://github.com/mvanhorn/last30days-skill
ð AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
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The mvanhorn/last30days-skill GitHub repository is home to a revolutionary AI agent-led search engine. This engine scores results based on upvotes, likes, and real money, rather than editor opinions. Key features include zero-config setup, immediate functionality with Reddit, HN, Polymarket, and GitHub, and the ability to unlock more platforms like X, YouTube, and TikTok in just 30 seconds.
Technical highlights of this repository include the use of a
pre-research brain built in Python, which resolves topics and figures out where to search before the search begins. The engine also features intelligent search, cross-source cluster merging, and single-pass comparisons, making it a powerful tool for finding relevant information.This repository is perfect for anyone looking to stay up-to-date on the latest developments in their field, including developers, researchers, and industry professionals. With its ability to search multiple platforms at once and provide a brief summary of the most relevant information, mvanhorn/last30days-skill is an invaluable resource.
To get started, users can install the skill using
/plugin marketplace add mvanhorn/last30days-skill or npx skills add mvanhorn/last30days-skill -g. The repository is constantly being updated with new features and improvements, making it an exciting project to follow.One-liner takeaway: mvanhorn/last30days-skill is a game-changing search engine that uses AI to scour multiple platforms and provide you with the most relevant, up-to-date information on any topic.
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ð§ Channel: https://t.me/GithubRe
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Github Top Repositories
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ð PaddlePaddle/PaddleOCR caught my eye on GitHub Trending today.
ð https://github.com/PaddlePaddle/PaddleOCR
ð Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
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PaddleOCR is a leading OCR toolkit and document AI engine that converts PDF documents and images into structured, LLM-ready data with industry-leading accuracy. It features intelligent document parsing, universal text recognition, and a developer-centric ecosystem. With
Key features include SOTA Document VLM with
It's designed for production-ready efficiency, achieving commercial-grade accuracy with an ultra-small footprint, and is seamlessly integrated with the Hugging Face ecosystem.
Whether you're a developer or researcher, PaddleOCR provides a complete pipeline to build high-quality datasets and supports various hardware backends.
One-liner takeaway: PaddleOCR simplifies document parsing and text recognition, empowering you to build intelligent applications with ease and accuracy!
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ð§ Channel: https://t.me/GithubRe
ð https://github.com/PaddlePaddle/PaddleOCR
ð Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
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PaddleOCR is a leading OCR toolkit and document AI engine that converts PDF documents and images into structured, LLM-ready data with industry-leading accuracy. It features intelligent document parsing, universal text recognition, and a developer-centric ecosystem. With
70k+ Stars and trusted by top-tier projects, PaddleOCR is the bedrock for building intelligent RAG and Agentic applications. Key features include SOTA Document VLM with
96.3% accuracy on OmniDocBench v1.6, structure-aware conversion to Markdown or JSON, and universal text recognition supporting 100+ languages. It's designed for production-ready efficiency, achieving commercial-grade accuracy with an ultra-small footprint, and is seamlessly integrated with the Hugging Face ecosystem.
Whether you're a developer or researcher, PaddleOCR provides a complete pipeline to build high-quality datasets and supports various hardware backends.
One-liner takeaway: PaddleOCR simplifies document parsing and text recognition, empowering you to build intelligent applications with ease and accuracy!
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ð§ Channel: https://t.me/GithubRe
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ð Deep-diving into openai/plugins â fresh off the trending list.
ð https://github.com/openai/plugins
ð OpenAI Plugins
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The openai/plugins repository is a treasure trove of curated Codex plugin examples. Each plugin is neatly organized under its own directory, complete with a required
Some of the highlighted plugins include
To get started, simply explore the various plugins, such as
Whether you're a developer, designer, or researcher, this repository has something for everyone.
The openai/plugins repo is a game-changer - and the best part is, you can plug and play your way to productivity!
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ð§ Channel: https://t.me/GithubRe
ð https://github.com/openai/plugins
ð OpenAI Plugins
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The openai/plugins repository is a treasure trove of curated Codex plugin examples. Each plugin is neatly organized under its own directory, complete with a required
.codex-plugin/plugin.json manifest file and optional supporting files like skills/, .app.json, and agents/. Some of the highlighted plugins include
figma for design system rules, notion for planning and knowledge capture, and build-ios-apps for SwiftUI implementation and debugging. To get started, simply explore the various plugins, such as
expo, netlify, and google-slides, and discover how they can streamline your workflow. Whether you're a developer, designer, or researcher, this repository has something for everyone.
The openai/plugins repo is a game-changer - and the best part is, you can plug and play your way to productivity!
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ð§ Channel: https://t.me/GithubRe
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ðĨ MemPalace/mempalace is trending â and it deserves your attention.
ð https://github.com/MemPalace/mempalace
ð The best-benchmarked open-source AI memory system. And it's free.
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Introduction to MemPalace: MemPalace is a local-first AI memory tool that stores conversation history as verbatim text and retrieves it with semantic search. It's designed to be private and secure, with no API calls or cloud dependencies.
Main Features:
- Verbatim storage of conversation history
- Semantic search for retrieving stored conversations
- Pluggable backend for flexibility
- Local-first approach for privacy and security
- CLI and Python API for easy usage
```bash
mempalace mine ~/projects/myapp # mine project files
mempalace mine ~/.claude/projects/ --mode convos # mine Claude Code sessions
mempalace search "why did we switch to GraphQL" # search conversations
```
Technical Highlights:
- 96.6% retrieval recall on LongMemEval benchmark
- Pluggable backend with ChromaDB as the default
- Support for multiple languages
Audience: MemPalace is suitable for developers, researchers, and anyone looking for a private and secure way to store and retrieve conversation history.
Takeaway: MemPalace is a powerful tool for storing and retrieving conversation history, with a strong focus on privacy and security, making it an excellent choice for those who value their data.
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ð§ Channel: https://t.me/GithubRe
ð https://github.com/MemPalace/mempalace
ð The best-benchmarked open-source AI memory system. And it's free.
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Introduction to MemPalace: MemPalace is a local-first AI memory tool that stores conversation history as verbatim text and retrieves it with semantic search. It's designed to be private and secure, with no API calls or cloud dependencies.
Main Features:
- Verbatim storage of conversation history
- Semantic search for retrieving stored conversations
- Pluggable backend for flexibility
- Local-first approach for privacy and security
- CLI and Python API for easy usage
Usage Example:```bash
mempalace mine ~/projects/myapp # mine project files
mempalace mine ~/.claude/projects/ --mode convos # mine Claude Code sessions
mempalace search "why did we switch to GraphQL" # search conversations
```
Technical Highlights:
- 96.6% retrieval recall on LongMemEval benchmark
- Pluggable backend with ChromaDB as the default
- Support for multiple languages
Audience: MemPalace is suitable for developers, researchers, and anyone looking for a private and secure way to store and retrieve conversation history.
Takeaway: MemPalace is a powerful tool for storing and retrieving conversation history, with a strong focus on privacy and security, making it an excellent choice for those who value their data.
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ð§ Channel: https://t.me/GithubRe
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Github Top Repositories
Photo
ðĨ openclaw/openclaw-windows-node is trending â and it deserves your attention.
ð https://github.com/openclaw/openclaw-windows-node
ð Windows companion suite for OpenClaw - System Tray app, Shared library, Node, and PowerToys Command Palette extension
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The OpenClaw Windows Node is an open-source, native Windows companion suite for OpenClaw, an AI-powered personal assistant. It's designed to work seamlessly with the OpenClaw gateway, providing a system tray application, shared client libraries, and CLI utilities.
Key features include a modern Windows 11-style system tray companion with dark/light mode support, quick send functionality via global hotkey, auto-updates, and embedded web chat. The suite also offers a command center with diagnostics, channel health, usage, sessions, nodes, and copyable repair commands.
To get started, users can download the latest stable installer from the OpenClaw Windows docs or build the project using the provided build script. The project requires Windows 10 (20H2+) or Windows 11, .NET 10.0 SDK, Windows 10 SDK, and WebView2 Runtime.
The OpenClaw Windows Node is designed for users who want a seamless and integrated experience with their OpenClaw gateway. With its robust feature set and user-friendly interface, it's an ideal choice for anyone looking to enhance their productivity and streamline their workflow.
One-liner takeaway:
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ð§ Channel: https://t.me/GithubRe
ð https://github.com/openclaw/openclaw-windows-node
ð Windows companion suite for OpenClaw - System Tray app, Shared library, Node, and PowerToys Command Palette extension
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The OpenClaw Windows Node is an open-source, native Windows companion suite for OpenClaw, an AI-powered personal assistant. It's designed to work seamlessly with the OpenClaw gateway, providing a system tray application, shared client libraries, and CLI utilities.
Key features include a modern Windows 11-style system tray companion with dark/light mode support, quick send functionality via global hotkey, auto-updates, and embedded web chat. The suite also offers a command center with diagnostics, channel health, usage, sessions, nodes, and copyable repair commands.
To get started, users can download the latest stable installer from the OpenClaw Windows docs or build the project using the provided build script. The project requires Windows 10 (20H2+) or Windows 11, .NET 10.0 SDK, Windows 10 SDK, and WebView2 Runtime.
The OpenClaw Windows Node is designed for users who want a seamless and integrated experience with their OpenClaw gateway. With its robust feature set and user-friendly interface, it's an ideal choice for anyone looking to enhance their productivity and streamline their workflow.
One-liner takeaway:
OpenClaw Windows Node is the ultimate Windows companion for OpenClaw users, offering a powerful and intuitive system tray application that simplifies your workflow and boosts productivity!ââââââââââââââââââââââââââââââ
ð§ Channel: https://t.me/GithubRe
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