💡 NirDiamant/agents-towards-production just hit the trending charts — here's why it matters.

🔗 https://github.com/NirDiamant/agents-towards-production
📝 End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
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The Agents Towards Production GitHub repository is your one-stop-shop for transforming AI agents into real-world products. This open-source playbook offers 28 production-grade tutorials covering stateful workflows, vector memory, web search APIs, and more. Key features include Docker deployment, security guardrails, GPU scaling, and multi-agent coordination. To get started, simply explore the tutorials and star the project to help others discover it. The repository is perfect for developers, data scientists, and AI enthusiasts looking to build production-ready GenAI agents. With its comprehensive guides and step-by-step tutorials, you'll be able to overcome common challenges and deploy your AI agents with confidence. Take your AI projects to the next level with Agents Towards Production - scale your AI agents from prototype to enterprise!

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🧠 Channel: https://t.me/GithubRe

🌟 dograh-hq/dograh caught my eye on GitHub Trending today.

🔗 https://github.com/dograh-hq/dograh
📝 Open Source Voice Agent Platform
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Dograh AI is an open-source, self-hostable platform for building production voice agents with a drag-and-drop workflow builder. It's a alternative to Vapi and Retell, allowing for full control and transparency.

Key features include a drag-and-drop workflow builder, telephony integration, and support for custom models. docker-compose is used for easy setup and deployment.

Technical highlights include a modular architecture, real-time processing, and support for multiple languages. The platform is built on Python and uses Docker for containerization.

The platform is suitable for developers and businesses looking for a customizable and scalable voice AI solution.

To get started, simply run

curl -o docker-compose.yaml https://raw.githubusercontent.com/dograh-hq/dograh/main/docker-compose.yaml && REGISTRY=ghcr.io/dograh-hq ENABLE_TELEMETRY=true docker compose up --pull always

and access the platform at http://localhost:3010.

Dograh AI is licensed under the BSD 2-Clause License, ensuring freedom to use, modify, and distribute.
With Dograh AI, you can build a working voice bot in under 2 minutes - no coding required.

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: K-Dense-AI/scientific-agent-skills — let's break it down.

🔗 https://github.com/K-Dense-AI/scientific-agent-skills
📝 A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.
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The Scientific Agent Skills GitHub repository offers a comprehensive collection of 135 ready-to-use scientific and research skills for AI agents that support the open Agent Skills standard. These skills enable AI agents to work with specialized scientific libraries, databases, and tools across multiple scientific domains, including bioinformatics, cheminformatics, proteomics, and more. The repository includes 100+ scientific databases, 70+ optimized Python package skills, and 9 scientific integration skills, as well as tools for analysis, communication, and research.

To get started, users can install the skills using npx or the GitHub CLI. The skills are designed to be easy to integrate and use, with comprehensive documentation and examples provided for each skill. The repository is regularly updated and maintained by the K-Dense team, with contributions from the community.

The target audience for this repository includes researchers, scientists, and developers who want to leverage AI to accelerate their research and workflows. With Scientific Agent Skills, users can transform their AI coding agent into an 'AI Scientist' capable of executing complex multi-step scientific workflows.

Takeaway: Unlock the full potential of your AI agent with Scientific Agent Skills and discover a new world of possibilities in scientific research and development.

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🧠 Channel: https://t.me/GithubRe

🎯 Light-Heart-Labs/DreamServer landed on trending. Worth a proper look.

🔗 https://github.com/Light-Heart-Labs/DreamServer
📝 Local AI anywhere, for everyone — LLM inference, chat UI, voice, agents, workflows, RAG, and image generation. No cloud, no subscriptions.
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Dream Server is an open-source, local-first AI stack that empowers individuals to self-host their AI infrastructure. The project's primary goal is to provide a sovereign AI solution, allowing users to run their AI models on their own hardware, without relying on cloud services or centralized providers.

Key features of Dream Server include:
- One-command installation: detects GPU, picks the right model, and launches all services
- Chatting in under 2 minutes: bootstrap mode enables instant chatting while the full model downloads in the background
- Full service stack: chat, agents, voice, workflows, search, RAG, image generation, and privacy tools, all pre-wired and talking to each other

From a technical standpoint, Dream Server supports various platforms, including Linux, Windows, and macOS, with NVIDIA, AMD, and Intel Arc GPUs. The project also features hardware auto-detection, which selects the optimal model based on the user's hardware.

The target audience for Dream Server includes individuals and organizations seeking to maintain control over their AI infrastructure and data. With its user-friendly installation process and extensive documentation, Dream Server makes it possible for anyone to self-host their AI, regardless of their technical background.

Dream Server is the ultimate game-changer: Take back control of your AI, and never look back.

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: KeygraphHQ/shannon — let's break it down.

🔗 https://github.com/KeygraphHQ/shannon
📝 Shannon Lite is an autonomous, white-box AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production.
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Shannon is an autonomous, white-box AI pentester for web applications and APIs. It analyzes source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production. Key features include fully autonomous operation, reproducible proof-of-concept exploits, and code-aware dynamic testing. Shannon is available in two editions: Shannon Lite (AGPL-3.0) for local testing and Shannon Pro (commercial) for organizations needing a single AppSec platform. Technical highlights include a Code Property Graph (CPG) combining the AST, control flow graph, and program dependence graph, and a two-stage pipeline with agentic static analysis and autonomous AI penetration testing. Audience includes developers, security professionals, and organizations looking for automated penetration testing. Here's a quick start example:

npx @keygraph/shannon setup
npx @keygraph/shannon start -u https://your-app.com -r /path/to/your-repo

Get started with Shannon today and close the security gap in your development cycle - automate your penetration testing and ship secure code faster.

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🧠 Channel: https://t.me/GithubRe

🚀 Meet TryGhost/Ghost: a gem from today's GitHub trending list.

🔗 https://github.com/TryGhost/Ghost
📝 Independent technology for modern publishing, memberships, subscriptions and newsletters.
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Ghost is a popular open source, headless Node.js Content Management System (CMS) that provides professional publishing features. Its key features include a simple and intuitive interface, support for multiple themes, and a robust API for custom development. To get started, users can deploy a production instance with Ghost(Pro), the official managed service, or run their own instance using the ghost-cli tool.

For a quickstart install, run:

npm install ghost-cli -g

Then, install locally with:

ghost install local

or on a server with:

ghost install

The target audience includes developers, bloggers, and publishers who want a flexible and customizable CMS. With a large community of developers and a range of resources available, including the official documentation and the Ghost forum, users can get help and support when needed. Ghost is released under the MIT license, making it free to use and modify.
Try Ghost today and discover a better way to publish online - your blog, your rules.

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🧠 Channel: https://t.me/GithubRe

⚡ medusajs/medusa is making waves. Here's the full picture.

🔗 https://github.com/medusajs/medusa
📝 The world's most flexible commerce platform.
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Medusa is a set of commerce modules and tools that enable you to build rich, reliable, and performant commerce applications. Its modular architecture allows for customization and extension, making it suitable for advanced ecommerce stores, marketplaces, or any product that needs foundational commerce primitives.

To get started, visit the Quickstart Guide to set up a server. Medusa's modules can be used to build a wide range of commerce applications, and its open-source nature means that all modules are freely available on npm.

The project has a public roadmap, and the community and core team are available to provide support and discuss ideas in GitHub Discussions. Medusa is licensed under the MIT License, and contributions to the codebase and docs are welcome.

Medusa's key features include its modular architecture, customizable modules, and open-source nature. Its technical highlights include a performant and reliable architecture, making it suitable for large-scale commerce applications.

Medusa is designed for developers and businesses looking to build advanced commerce applications. With its modular architecture and open-source nature, Medusa provides a flexible and customizable solution for a wide range of commerce use cases.

Build fast, reliable, and scalable commerce applications with Medusa - the building blocks for digital commerce. Medusa is the key to unlocking your commerce potential.

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🧠 Channel: https://t.me/GithubRe

🌟 knadh/listmonk caught my eye on GitHub Trending today.

🔗 https://github.com/knadh/listmonk
📝 High performance, self-hosted, newsletter and mailing list manager with a modern dashboard. Single binary app.
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Listmonk is a self-hosted newsletter and mailing list manager that's fast and feature-rich. It's a single binary application that uses a PostgreSQL database. Key features include a user-friendly dashboard and easy installation via Docker or binary download.

To get started, you can use the docker-compose.yml file to run the services in the background with

docker compose up -d

, or download the latest release and extract the listmonk binary.

Listmonk is free and open source under the AGPLv3 license, and is suitable for developers and non-technical users alike. The backend is written in Go and the frontend is Vue with Buefy for UI.

One-liner takeaway: Listmonk is a hassle-free, self-hosted solution to manage your newsletters and mailing lists - give it a try!

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into plausible/analytics — fresh off the trending list.

🔗 https://github.com/plausible/analytics
📝 Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
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Plausible Analytics is an open-source, privacy-first web analytics tool that's a lightweight, cookie-free alternative to Google Analytics. It's available in both managed cloud and self-hosted community editions.

The key features of Plausible include:
- Privacy-focused and GDPR, CCPA, PECR compliant
- Simple, fast dashboard
- Lightweight script
- Made and hosted in the EU

You can use Plausible by signing up for their managed service in the cloud, which is easy to set up and requires no maintenance, or by self-hosting the community edition on your own server.

From a technical standpoint, Plausible is built with a modern, scalable stack, including Elixir + Phoenix for the backend, PostgreSQL and ClickHouse for databases, and React + TailwindCSS for the frontend.

Plausible is designed for anyone looking for a private and simple web analytics solution, from individual developers to large businesses.

In short, Plausible Analytics is the perfect choice for those who want to keep it simple, keep it private.

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🧠 Channel: https://t.me/GithubRe

🌟 colbymchenry/codegraph caught my eye on GitHub Trending today.

🔗 https://github.com/colbymchenry/codegraph
📝 Pre-indexed code knowledge graph for Claude Code — fewer tokens, fewer tool calls, 100% local
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Boost your coding productivity with CodeGraph, a tool that supercharges Claude Code with semantic code intelligence. Its key features include smart context building, full-text search, impact analysis, and support for 19+ languages. To get started, simply run npx @colbymchenry/codegraph and follow the interactive installer. Then, initialize your project with codegraph init -i and restart Claude Code. CodeGraph gives you a pre-indexed knowledge graph of your codebase, allowing you to query it instantly and explore your code up to 94% fewer tool calls and 77% faster. Whether you're a seasoned developer or just starting out, CodeGraph is the perfect tool to take your coding to the next level. With CodeGraph, you'll be able to find code by name instantly, trace callers and callees, and check what's affected before editing - all with 100% local data and no external services. So why wait? Try CodeGraph today and start coding like a pro! CodeGraph: Explore your code, not your patience.

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🧠 Channel: https://t.me/GithubRe

🌟 microsoft/ai-agents-for-beginners caught my eye on GitHub Trending today.

🔗 https://github.com/microsoft/ai-agents-for-beginners
📝 12 Lessons to Get Started Building AI Agents
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Introduction to AI Agents for Beginners is a comprehensive course that teaches you everything you need to know to start building AI Agents. This course is designed for beginners and covers the fundamentals of building AI Agents, including Microsoft Agent Framework and Azure AI Foundry Agent Service V2.

The course includes 50+ language translations, making it accessible to a wide range of learners. Each lesson covers its own topic, and you can start wherever you like. The course also includes Python code samples and links to extra resources to continue your learning.

To get started, you'll need to fork this repo and set up your environment. You can find more information on running the code in the Course Setup section. The course also uses Microsoft Foundry and Azure Account, which are required for some of the lessons.

The course covers a range of topics, including:
- Intro to AI Agents and Agent Use Cases
- Exploring AI Agentic Frameworks
- Understanding AI Agentic Design Patterns
- Building Trustworthy AI Agents
- Planning Design Pattern
- Multi-Agent Design Pattern
- Metacognition Design Pattern
- AI Agents in Production
- Using Agentic Protocols
- Context Engineering for AI Agents
- Managing Agentic Memory
- Exploring Microsoft Agent Framework

If you get stuck or have any questions, you can join the dedicated Discord Channel in the Microsoft Foundry Discord.
One key takeaway: building AI Agents is now more accessible than ever, so dive in and start learning with this comprehensive course.

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🧠 Channel: https://t.me/GithubRe