Github Top Repositories
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⚡ Panniantong/Agent-Reach is making waves. Here's the full picture.
🔗 https://github.com/Panniantong/Agent-Reach
📝 Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
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Agent Reach is a tool that empowers your AI Agent with internet capabilities, allowing it to read web pages, search Twitter, watch YouTube videos, and more. It's designed to simplify the process of configuring and using various online tools with your AI Agent. With
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/Panniantong/Agent-Reach
📝 Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
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Agent Reach is a tool that empowers your AI Agent with internet capabilities, allowing it to read web pages, search Twitter, watch YouTube videos, and more. It's designed to simplify the process of configuring and using various online tools with your AI Agent. With
Agent Reach, you can easily install and update tools like twitter-cli, yt-dlp, and rdt-cli, and access various online platforms without needing to manually configure them. The tool is completely free and open-source, with a focus on security and privacy. It's compatible with all AI Agents that can run shell commands, including Claude Code, OpenClaw, Cursor, and Windsurf. To get started, simply tell your AI Agent to 安装 Agent Reach and follow the prompts. Star this project to support its development and maintenance. One-liner takeaway: Agent Reach simplifies internet access for your AI Agent, making it easy to search, read, and interact with online content.──────────────────────────────
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🚀 Meet danielmiessler/Personal_AI_Infrastructure: a gem from today's GitHub trending list.
🔗 https://github.com/danielmiessler/Personal_AI_Infrastructure
📝 Agentic AI Infrastructure for magnifying HUMAN capabilities.
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Introduction to Personal AI Infrastructure (PAI): PAI is a Life Operating System designed to capture your identity, goals, and work, and help you reach your ideal state using AI. It's built around three layers: PAI (the OS), Pulse (the Life Dashboard), and the DA (your Digital Assistant).
Key Features: PAI uses a
Technical Highlights: PAI uses
Usage and Audience: PAI is designed for individuals, teams, or companies looking to articulate their ideal state and move towards it. It's suitable for anyone who wants to harness the power of AI to improve their life and work.
Getting Started: You can install PAI using the one-line install command:
Takeaway: PAI is a powerful tool that can help you magnify your life and work with AI - and the best part is, it's designed to be operated by your AI, making it a true Life Operating System.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/danielmiessler/Personal_AI_Infrastructure
📝 Agentic AI Infrastructure for magnifying HUMAN capabilities.
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Introduction to Personal AI Infrastructure (PAI): PAI is a Life Operating System designed to capture your identity, goals, and work, and help you reach your ideal state using AI. It's built around three layers: PAI (the OS), Pulse (the Life Dashboard), and the DA (your Digital Assistant).
Key Features: PAI uses a
filesystem as context, avoiding opaque storage, and is built with context scaffolding to feed models the right context. It has a self-improvement loop to capture signals and improve itself, and a custom algorithm to drive the current → ideal state transition.Technical Highlights: PAI uses
TypeScript, Bun, and Claude to provide a robust and scalable platform. It has a skill system with deterministic code execution and a library of thinking skills to raise the quality of decisions.Usage and Audience: PAI is designed for individuals, teams, or companies looking to articulate their ideal state and move towards it. It's suitable for anyone who wants to harness the power of AI to improve their life and work.
Getting Started: You can install PAI using the one-line install command:
curl -sSL https://ourpai.ai/install.sh | bash. The project is in active development, so expect frequent updates and breaking changes.Takeaway: PAI is a powerful tool that can help you magnify your life and work with AI - and the best part is, it's designed to be operated by your AI, making it a true Life Operating System.
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Github Top Repositories
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🚀 Meet santifer/career-ops: a gem from today's GitHub trending list.
🔗 https://github.com/santifer/career-ops
📝 AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
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The Career-Ops system is an open-source, AI-powered job search command center that helps candidates find their dream roles. It evaluates job listings, generates tailored CVs, and scans company portals for new offers. With its
The system is agentic, using AI to navigate career pages, evaluate fit, and adapt resumes per listing. It's built with technologies like
To get started, users can
The key features of Career-Ops include auto-pipeline, interview story bank, and pipeline integrity. It also supports
In summary, Career-Ops is a powerful tool for job seekers, providing a personalized and efficient approach to finding their dream roles: it's like having a personal recruiter in your pocket.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/santifer/career-ops
📝 AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
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The Career-Ops system is an open-source, AI-powered job search command center that helps candidates find their dream roles. It evaluates job listings, generates tailored CVs, and scans company portals for new offers. With its
6-block evaluation system and negotiation scripts, Career-Ops provides a comprehensive approach to job searching. The system is agentic, using AI to navigate career pages, evaluate fit, and adapt resumes per listing. It's built with technologies like
Claude Code, OpenCode, and Gemini CLI, and supports Node.js and Go. To get started, users can
clone and install the repository, configure their profiles, and add their CVs. The system is designed to be customized by Claude Code itself, allowing users to change modes, archetypes, and scoring weights.The key features of Career-Ops include auto-pipeline, interview story bank, and pipeline integrity. It also supports
Gemini CLI integration and provides a dashboard TUI for browsing and filtering the pipeline.In summary, Career-Ops is a powerful tool for job seekers, providing a personalized and efficient approach to finding their dream roles: it's like having a personal recruiter in your pocket.
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🧠 Channel: https://t.me/GithubRe
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Github Top Repositories
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💡 phuryn/pm-skills just hit the trending charts — here's why it matters.
🔗 https://github.com/phuryn/pm-skills
📝 PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
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The pm-skills GitHub repository is a game-changer for product managers, offering a comprehensive AI-powered operating system for making better product decisions. With 68 PM skills and 42 chained workflows across 9 plugins, this marketplace provides a structured approach to product management, covering discovery, strategy, execution, launch, growth, and shipping AI-built code.
The
To get started, users can install the marketplace using
The repository includes a range of plugins, such as pm-product-discovery, pm-product-strategy, and pm-execution, each with its own set of skills and commands. For example, the
In summary, the pm-skills repository empowers product managers to make better product decisions with its comprehensive AI-powered operating system - Upgrade your product management workflow with pm-skills and start making data-driven decisions today!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/phuryn/pm-skills
📝 PM Skills Marketplace: 100+ agentic skills, commands, and plugins — from discovery to strategy, execution, launch, and growth.
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The pm-skills GitHub repository is a game-changer for product managers, offering a comprehensive AI-powered operating system for making better product decisions. With 68 PM skills and 42 chained workflows across 9 plugins, this marketplace provides a structured approach to product management, covering discovery, strategy, execution, launch, growth, and shipping AI-built code.
The
skills are the building blocks, encoding proven PM frameworks and guiding users through specific tasks. Commands chain one or more skills into end-to-end processes, while plugins group related skills and commands into installable packages.To get started, users can install the marketplace using
Claude Cowork or Claude Code, or even use the skills with other AI assistants like Codex, Gemini CLI, OpenCode, Cursor, or Kiro.The repository includes a range of plugins, such as pm-product-discovery, pm-product-strategy, and pm-execution, each with its own set of skills and commands. For example, the
/discover command chains four skills together: brainstorm-ideas, identify-assumptions, prioritize-assumptions, and brainstorm-experiments.In summary, the pm-skills repository empowers product managers to make better product decisions with its comprehensive AI-powered operating system - Upgrade your product management workflow with pm-skills and start making data-driven decisions today!
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🧠 Channel: https://t.me/GithubRe
⚡ openai/plugins is making waves. Here's the full picture.
🔗 https://github.com/openai/plugins
📝 OpenAI Plugins
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The openai/plugins repository is a treasure trove of community-driven innovation, hosting a wide range of Codex plugin examples to streamline your workflow. Each plugin is carefully organized under its own directory, complete with a
Some highlighted examples include plugins for Figma, Notion, iOS and macOS app development, web apps, Expo, and more. These plugins are designed to make your life easier, whether you're working on design systems, planning and research, or building and deploying apps.
The technical details are straightforward: each plugin has a required
This repository is perfect for developers, designers, and makers looking to tap into the power of Codex and automate their workflows.
In short, the openai/plugins repository is your one-stop shop for unlocking Codex's full potential - join the community and start building today!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/openai/plugins
📝 OpenAI Plugins
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The openai/plugins repository is a treasure trove of community-driven innovation, hosting a wide range of Codex plugin examples to streamline your workflow. Each plugin is carefully organized under its own directory, complete with a
plugin.json manifest and optional supporting files like skills/, agents/, and assets/. Some highlighted examples include plugins for Figma, Notion, iOS and macOS app development, web apps, Expo, and more. These plugins are designed to make your life easier, whether you're working on design systems, planning and research, or building and deploying apps.
The technical details are straightforward: each plugin has a required
plugin.json file and may include additional files and directories. For example, a plugin might include a hooks.jsonfile for custom hooks or an
agents/ directory for custom agent implementations. This repository is perfect for developers, designers, and makers looking to tap into the power of Codex and automate their workflows.
In short, the openai/plugins repository is your one-stop shop for unlocking Codex's full potential - join the community and start building today!
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Github Top Repositories
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🎯 Andyyyy64/whichllm landed on trending. Worth a proper look.
🔗 https://github.com/Andyyyy64/whichllm
📝 Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
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whichllm is a handy tool that helps you find the best local LLM (Large Language Model) that can run on your hardware. It auto-detects your GPU, CPU, and RAM, and then ranks the top models from HuggingFace that fit your system. You can use it to simulate a GPU before buying, compare upgrade candidates, and even start a chat with a model.
The tool uses evidence-based ranking, not just size heuristics, to choose the top pick. It also considers recency-aware scores, so stale leaderboards are demoted. You can use
Technical highlights include architecture-aware estimates, live data from the HuggingFace API, and a simple, scriptable command-line interface. whichllm is designed for developers, researchers, and anyone who wants to work with LLMs.
To get started, simply run
Here's a punchy one-liner takeaway: With whichllm, you can easily find the perfect LLM for your hardware and start building amazing AI projects!
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/Andyyyy64/whichllm
📝 Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly.
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whichllm is a handy tool that helps you find the best local LLM (Large Language Model) that can run on your hardware. It auto-detects your GPU, CPU, and RAM, and then ranks the top models from HuggingFace that fit your system. You can use it to simulate a GPU before buying, compare upgrade candidates, and even start a chat with a model.
The tool uses evidence-based ranking, not just size heuristics, to choose the top pick. It also considers recency-aware scores, so stale leaderboards are demoted. You can use
whichllm to get a copy-paste Python snippet for any model, and it supports various model formats like GGUF, AWQ, and GPTQ. Technical highlights include architecture-aware estimates, live data from the HuggingFace API, and a simple, scriptable command-line interface. whichllm is designed for developers, researchers, and anyone who wants to work with LLMs.
To get started, simply run
uvx whichllm@latest or install it using brew install andyyyy64/whichllm/whichllm or pip install whichllm. Here's a punchy one-liner takeaway: With whichllm, you can easily find the perfect LLM for your hardware and start building amazing AI projects!
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💡 MemPalace/mempalace just hit the trending charts — here's why it matters.
🔗 https://github.com/MemPalace/mempalace
📝 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_exact, qdrant, and pgvector.
To get started, users can install MemPalace using
MemPalace boasts an impressive 96.6% R@5 raw on the LongMemEval benchmark, with no API calls required. It also includes a temporal entity-relationship graph and supports MCP tools for palace reads/writes, knowledge-graph operations, and more.
The target audience for MemPalace includes developers, researchers, and individuals seeking a robust, local-first AI memory solution.
Overall, MemPalace offers a powerful and flexible solution for storing and retrieving conversation history, making it an excellent choice for those seeking a reliable and efficient AI memory system.
Takeaway: MemPalace revolutionizes local-first AI memory, making it a game-changer for anyone seeking to harness the power of semantic search.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/MemPalace/mempalace
📝 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_exact, qdrant, and pgvector.
To get started, users can install MemPalace using
uv tool install mempalace or pipx install mempalace, then initialize it with mempalace init ~/projects/myapp. The mempalace mine command is used to mine content into the palace, while mempalace search retrieves relevant information.MemPalace boasts an impressive 96.6% R@5 raw on the LongMemEval benchmark, with no API calls required. It also includes a temporal entity-relationship graph and supports MCP tools for palace reads/writes, knowledge-graph operations, and more.
The target audience for MemPalace includes developers, researchers, and individuals seeking a robust, local-first AI memory solution.
Overall, MemPalace offers a powerful and flexible solution for storing and retrieving conversation history, making it an excellent choice for those seeking a reliable and efficient AI memory system.
Takeaway: MemPalace revolutionizes local-first AI memory, making it a game-changer for anyone seeking to harness the power of semantic search.
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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💡 roboflow/supervision just hit the trending charts — here's why it matters.
🔗 https://github.com/roboflow/supervision
📝 We write your reusable computer vision tools. 💜
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Supervision is a Python library for building computer vision applications. Its purpose is to provide a simple and efficient way to work with computer vision models, datasets, and annotations. The library offers key features such as model-agnostic detection, segmentation, and classification, as well as tools for data loading, splitting, and merging.
To use Supervision, you can install it via pip:
Technical highlights of Supervision include its ability to load and annotate images and videos, as well as its support for customizable annotators. The library is designed for data scientists and machine learning engineers who want to build and deploy computer vision applications quickly and efficiently.
In summary, Supervision is a powerful library that simplifies computer vision development - build computer vision apps faster with Supervision.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/roboflow/supervision
📝 We write your reusable computer vision tools. 💜
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Supervision is a Python library for building computer vision applications. Its purpose is to provide a simple and efficient way to work with computer vision models, datasets, and annotations. The library offers key features such as model-agnostic detection, segmentation, and classification, as well as tools for data loading, splitting, and merging.
To use Supervision, you can install it via pip:
pip install supervision. The library supports various models and datasets, including Ultralytics, Transformers, and MMDetection, and provides connectors for popular libraries. Technical highlights of Supervision include its ability to load and annotate images and videos, as well as its support for customizable annotators. The library is designed for data scientists and machine learning engineers who want to build and deploy computer vision applications quickly and efficiently.
In summary, Supervision is a powerful library that simplifies computer vision development - build computer vision apps faster with Supervision.
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🧠 Channel: https://t.me/GithubRe
Github Top Repositories
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🔥 CopilotKit/CopilotKit is trending — and it deserves your attention.
🔗 https://github.com/CopilotKit/CopilotKit
📝 The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol
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CopilotKit is a multi-platform agentic framework that enables you to build full-stack agentic applications, Generative UI, and chat applications. The framework allows agents to power your web app, mobile app, and team's Slack workspace. It features a chat UI, backend tool rendering, generative UI, shared state, and human-in-the-loop workflows. CopilotKit supports various platforms, including React, Angular, Vue, and React Native.
The framework is built on top of the
CopilotKit is suitable for developers, product teams, and companies looking to build agentic applications and integrate AI into their products. The framework is constantly evolving, with new features and updates being added regularly. To get started with CopilotKit, you can install it using
With CopilotKit, you can add AI to your app in just 1 minute and unlock the power of agentic applications. Build the future of AI-powered applications with CopilotKit - where agents meet applications.
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🧠 Channel: https://t.me/GithubRe
🔗 https://github.com/CopilotKit/CopilotKit
📝 The Frontend Stack for Agents & Generative UI. React, Angular, Mobile, Slack, and more. Makers of the AG-UI Protocol
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CopilotKit is a multi-platform agentic framework that enables you to build full-stack agentic applications, Generative UI, and chat applications. The framework allows agents to power your web app, mobile app, and team's Slack workspace. It features a chat UI, backend tool rendering, generative UI, shared state, and human-in-the-loop workflows. CopilotKit supports various platforms, including React, Angular, Vue, and React Native.
The framework is built on top of the
AG-UI Protocol, which is adopted by major companies like Google, LangChain, AWS, Microsoft, Mastra, and PydanticAI. CopilotKit provides a range of tools and features, including a useAgent hook, generative UI, and self-learning agents. The framework is designed to be easy to use, with a simple installation process and a comprehensive documentation.CopilotKit is suitable for developers, product teams, and companies looking to build agentic applications and integrate AI into their products. The framework is constantly evolving, with new features and updates being added regularly. To get started with CopilotKit, you can install it using
npx copilotkit@latest create -f <framework> or npx copilotkit@latest init for existing projects.With CopilotKit, you can add AI to your app in just 1 minute and unlock the power of agentic applications. Build the future of AI-powered applications with CopilotKit - where agents meet applications.
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