Github Top Repositories
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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 next-generation AI prediction engine that utilizes multi-agent technology to create a high-fidelity parallel digital world. This world is constructed by extracting seed information from the real world, such as news or financial signals, and then thousands of intelligent agents interact and evolve within it. The engine allows users to inject variables and deduce future trajectories through countless simulations.
Key features include a simple and universal swarm intelligence engine, the ability to predict anything, and a creative sandbox for users. The engine is powered by
To get started, users can deploy the engine via source code or Docker, with options for frontend and backend installation. The engine can be used for various applications, including financial prediction, political news prediction, and more.
The target audience for MiroFish includes decision-makers, individual users, and anyone interested in multi-agent simulation and LLM applications.
With MiroFish, you can rehearse the future in a digital sandbox and make informed decisions after simulating countless scenarios - making it possible to predict anything, one simulation at a time.
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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 next-generation AI prediction engine that utilizes multi-agent technology to create a high-fidelity parallel digital world. This world is constructed by extracting seed information from the real world, such as news or financial signals, and then thousands of intelligent agents interact and evolve within it. The engine allows users to inject variables and deduce future trajectories through countless simulations.
Key features include a simple and universal swarm intelligence engine, the ability to predict anything, and a creative sandbox for users. The engine is powered by
OASIS (Open Agent Social Interaction Simulations) and has received strategic support from Shanda Group.To get started, users can deploy the engine via source code or Docker, with options for frontend and backend installation. The engine can be used for various applications, including financial prediction, political news prediction, and more.
The target audience for MiroFish includes decision-makers, individual users, and anyone interested in multi-agent simulation and LLM applications.
With MiroFish, you can rehearse the future in a digital sandbox and make informed decisions after simulating countless scenarios - making it possible to predict anything, one simulation at a time.
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ð§ Channel: https://t.me/GithubRe
ðĄ mvanhorn/last30days-skill just hit the trending charts â here's why it matters.
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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Discover the power of /last30days, an AI agent-led search engine that scores results based on upvotes, likes, and real money, not editors. This innovative tool allows you to search across various platforms, including Reddit, X, YouTube, TikTok, and more, all in parallel. With its zero-config setup, you can unlock a world of information, from what people are actually doing this month to the latest news and trends.
Key features include:
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* Support for multiple platforms, including Reddit, X, YouTube, TikTok, and more
* Scoring based on upvotes, likes, and real money
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Technical highlights include:
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Audience: Anyone looking to stay up-to-date on the latest news and trends, from business professionals to individuals interested in technology and innovation.
In short, /last30days is a game-changer for searching and discovering new information - it's like having a superpower in your pocket!
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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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Discover the power of /last30days, an AI agent-led search engine that scores results based on upvotes, likes, and real money, not editors. This innovative tool allows you to search across various platforms, including Reddit, X, YouTube, TikTok, and more, all in parallel. With its zero-config setup, you can unlock a world of information, from what people are actually doing this month to the latest news and trends.
Key features include:
*
/last30days command to search for any topic* Support for multiple platforms, including Reddit, X, YouTube, TikTok, and more
* Scoring based on upvotes, likes, and real money
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--emit=html option to generate shareable HTML briefsTechnical highlights include:
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Python pre-research brain to resolve topics and search the right people and communities*
Entity-based overlap detection to merge similar stories from different platforms*
Single-pass comparisons for faster and more efficient searchesAudience: Anyone looking to stay up-to-date on the latest news and trends, from business professionals to individuals interested in technology and innovation.
In short, /last30days is a game-changer for searching and discovering new information - it's like having a superpower in your pocket!
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ð§ Channel: https://t.me/GithubRe
Github Top Repositories
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ð Meet PaddlePaddle/PaddleOCR: a gem from today's GitHub trending list.
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 data with high accuracy. Its key features include intelligent document parsing, universal text recognition, and a developer-centric ecosystem. The
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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 data with high accuracy. Its key features include intelligent document parsing, universal text recognition, and a developer-centric ecosystem. The
PaddleOCR-VL-1.6 model achieves 96.3% accuracy on OmniDocBench v1.6 and supports 100+ languages. The toolkit is designed for production-ready efficiency and is trusted by top-tier projects. With 70k+ Stars and a strong community, PaddleOCR is the go-to choice for building intelligent applications. Get started with PaddleOCR today and unlock the power of document AI.ââââââââââââââââââââââââââââââ
ð§ Channel: https://t.me/GithubRe
ð Meet openai/plugins: a gem from today's GitHub trending list.
ð https://github.com/openai/plugins
ð OpenAI Plugins
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The openai/plugins repository is a treasure trove of Codex plugin examples, each with its own unique features and use cases. At its core, the repository contains a collection of plugins, each living in its own directory with a
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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 Codex plugin examples, each with its own unique features and use cases. At its core, the repository contains a collection of plugins, each living in its own directory with a
plugin.json manifest file. You'll find a range of plugins, from figma and notion to build-ios-apps and build-web-apps, each with its own set of capabilities and companion files. Whether you're looking to automate tasks, streamline workflows, or just explore the possibilities of Codex, this repository has something for you. With its diverse range of plugins and examples, it's perfect for developers, power users, and anyone looking to get the most out of Codex. Dive in and discover the power of plugins - your automation possibilities just got a whole lot bigger!ââââââââââââââââââââââââââââââ
ð§ Channel: https://t.me/GithubRe
⥠MemPalace/mempalace is making waves. Here's the full picture.
ð https://github.com/MemPalace/mempalace
ð The best-benchmarked open-source AI memory system. And it's free.
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MemPalace is a local-first AI memory solution that stores conversation history as verbatim text and retrieves it with semantic search. It features a pluggable backend, with ChromaDB as the default, and supports alternative backends like SQLite, Qdrant, and Postgres.
Key highlights include zero API calls, a temporal entity-relationship graph, and support for MCP tools and agents.
The project provides a
Technical requirements include Python 3.9+, a vector-store backend, and approximately 300 MB disk space for the embedding model.
The target audience appears to be developers and users interested in local-first AI memory solutions, with a focus on those already familiar with tools like Claude Code.
In short, MemPalace is a powerful tool for local-first AI memory, and its flexibility and customizability make it an attractive choice for those seeking a robust and private solution - take control of your memories with MemPalace, where your data stays local and private.
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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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MemPalace is a local-first AI memory solution that stores conversation history as verbatim text and retrieves it with semantic search. It features a pluggable backend, with ChromaDB as the default, and supports alternative backends like SQLite, Qdrant, and Postgres.
Key highlights include zero API calls, a temporal entity-relationship graph, and support for MCP tools and agents.
mempalace can be installed using uv tool install or pipx install, and a Docker image is also available.The project provides a
CLI for mining content, searching, and loading context, with a quickstart guide available. Benchmarks demonstrate high retrieval recall rates, including 96.6% R@5 on LongMemEval.Technical requirements include Python 3.9+, a vector-store backend, and approximately 300 MB disk space for the embedding model.
The target audience appears to be developers and users interested in local-first AI memory solutions, with a focus on those already familiar with tools like Claude Code.
In short, MemPalace is a powerful tool for local-first AI memory, and its flexibility and customizability make it an attractive choice for those seeking a robust and private solution - take control of your memories with MemPalace, where your data stays local and private.
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ð§ Channel: https://t.me/GithubRe