⚡ unslothai/unsloth is making waves. Here's the full picture.

🔗 https://github.com/unslothai/unsloth
📝 Local UI to run and train LLMs and diffusion models, including Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4, FLUX and more.
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Unsloth is a revolutionary desktop app that allows you to run, train, and deploy AI models locally. With support for various types of models, including LLMs, diffusion, embedding, and audio models, Unsloth provides a comprehensive platform for AI development.

Key Features:
Unsloth offers a range of features, including running and training models, fine-tuning, and deploying models with support for multiple hardware configurations, including CPU, NVIDIA, AMD, and Intel. It also provides remote access to your local models through secure Cloudflare HTTPS.

Usage:
To get started with Unsloth, you can download the native desktop app for your operating system or install it manually using the provided installation scripts. Unsloth can be used in three ways: Unsloth Desktop, Unsloth Studio (web UI), and Unsloth Core (code-based version).

Technical Highlights:
Unsloth supports various backends, including PyTorch, MLX, and GGUF, allowing for flexible model deployment. It also provides tools like Claude Code, Codex, and MCP for local model usage.

Audience:
Unsloth is designed for developers, researchers, and AI enthusiasts who want to run, train, and deploy AI models locally. With its user-friendly interface and comprehensive documentation, Unsloth is accessible to both beginners and experienced users.

Takeaway:
Unsloth is the ultimate AI development platform, providing a seamless and secure way to run, train, and deploy AI models locally, making it an essential tool for anyone working with AI.

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🧠 Channel: https://t.me/GithubRe

🚀 Meet OpenCut-app/OpenCut: a gem from today's GitHub trending list.

🔗 https://github.com/OpenCut-app/OpenCut
📝 The open-source CapCut alternative
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OpenCut is a free and open source video editor designed for web, desktop, and mobile platforms. Its key features include a Rust core for seamless performance across devices, a plugin-first architecture, and a headless mode for automation and batch rendering. The Editor API and MCP server for AI agents are also in the pipeline.

To get started with development, you can install proto and use it to set up the required tools. The repository provides scripts for web:dev, api:dev, and desktop:dev environments.

Although the project is not yet open to outside contributions, you can join the Discord community to follow along, ask questions, or simply hang out. OpenCut is supported by companies like fal.ai, which provides generative image, video, and audio models.

One-liner takeaway: OpenCut is revolutionizing video editing with its open source, cross-platform approach, and it's definitely one to watch in the world of creator tools!

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🧠 Channel: https://t.me/GithubRe

📌 Spotted on GitHub Trending: akitaonrails/ai-memory — let's break it down.

🔗 https://github.com/akitaonrails/ai-memory
📝 Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors
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ai-memory is a tool that gives long-term memory to AI coding agents, allowing them to pick up where they left off, even if they're switched out for a different agent. It does this by creating a shared, persistent wiki compiled from sanitized lifecycle observations.

Key features include zero-friction lifecycle capture, opt-in managed workstreams, per-repository capture exclusions, and optional per-operator memory slots.

ai-memory supports a wide range of agents, including Claude Code, Codex, Command Code, and more.

To use ai-memory, simply run it in the same directory as your agent, and it will take care of the rest.

From a technical standpoint, ai-memory uses a git repo to store its wiki, making it easy to grep and backup.

This tool is ideal for developers who use multiple AI coding agents and want to streamline their workflow.

In short, ai-memory is a game-changer for AI coding agents - it's like having a personal assistant that remembers where you left off, so you can pick up right where you started!

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🧠 Channel: https://t.me/GithubRe

🔥 public-apis/public-apis is trending — and it deserves your attention.

🔗 https://github.com/public-apis/public-apis
📝 A collective list of free APIs
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The public-apis/public-apis GitHub repository is a treasure trove of public APIs from various domains, manually curated by the community. It provides an extensive list of APIs that can be used for personal projects. The repository is divided into categories such as animals, anime, anti-malware, and more. Each API has its own description, authentication requirements, and HTTPS and CORS support. The repository also includes a contributing guide and a list of issues and pull requests. To get started, simply browse the list of APIs, find one that suits your needs, and start using it. With the public-apis/public-apis repository, you can unlock a world of possibilities and take your projects to the next level: start building today and never stop innovating!

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🧠 Channel: https://t.me/GithubRe

💡 ToolJet/ToolJet just hit the trending charts — here's why it matters.

🔗 https://github.com/ToolJet/ToolJet
📝 ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀
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ToolJet is an open-source platform for building and deploying internal tools, workflows, and AI agents. It offers a visual builder with a drag-and-drop UI, integrations with databases, APIs, SaaS apps, and object storage. Key features include a built-in no-code database, multi-page apps and multiplayer editing, and 80+ data sources.

To get started, you can create a ToolJet Cloud account or self-host using Docker with the following command:

docker run \
  --name tooljet \
  --restart unless-stopped \
  -p 80:80 \
  --platform linux/amd64 \
  -v tooljet_data:/var/lib/postgresql/13/main \
  tooljet/try:ee-lts-latest

ToolJet is ideal for developers, businesses, and organizations looking to streamline their workflows and build custom tools. With its extensive documentation and community support, it's easy to get started and find help when needed.
One-liner takeaway: ToolJet empowers you to build and deploy custom tools and workflows with ease, making it a game-changer for businesses and developers alike.

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🧠 Channel: https://t.me/GithubRe

🎯 cactus-compute/needle landed on trending. Worth a proper look.

🔗 https://github.com/cactus-compute/needle
📝 14MB foundation model for tiny devices; phones, wearables, smart home, and robots.
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Needle 2 is an open-source, 45M-parameter model designed for tool calling, device use, and structured extraction. It's a compact, self-contained model that runs on a single 14MB binary, using approximately 28MB of RAM. Key features include a simple contract for tool calls, confidence-gated responses, and tool retrieval capabilities.

To get started, you can install the cactus-needle package using pip install cactus-needle, then describe your tools and call them from Python. The model supports fine-tuning with LoRA, allowing you to adapt it to your specific use case.

The model is suitable for developers and researchers looking to integrate a compact, versatile AI model into their applications.

One-liner takeaway: Needle 2 packs a punch as a tiny, 14MB model that delivers big on tool calling and structured extraction capabilities.

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🧠 Channel: https://t.me/GithubRe

🔥 harry0703/MoneyPrinterTurbo is trending — and it deserves your attention.

🔗 https://github.com/harry0703/MoneyPrinterTurbo
📝 利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
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🧠 Channel: https://t.me/GithubRe

🌟 usestrix/strix caught my eye on GitHub Trending today.

🔗 https://github.com/usestrix/strix
📝 Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
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Could not generate summary at this time.

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🧠 Channel: https://t.me/GithubRe

🌟 nautechsystems/nautilus_trader caught my eye on GitHub Trending today.

🔗 https://github.com/nautechsystems/nautilus_trader
📝 Production-grade Rust-native trading engine with deterministic event-driven architecture
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README not available for this repository.

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into mukul975/Anthropic-Cybersecurity-Skills — fresh off the trending list.

🔗 https://github.com/mukul975/Anthropic-Cybersecurity-Skills
📝 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
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README not available for this repository.

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🧠 Channel: https://t.me/GithubRe

⚡ AlexsJones/llmfit is making waves. Here's the full picture.

🔗 https://github.com/AlexsJones/llmfit
📝 Hundreds of models & providers. One command to find what runs on your hardware.
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Could not generate summary at this time.

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🧠 Channel: https://t.me/GithubRe

🔍 Deep-diving into santifer/career-ops — fresh off the trending list.

🔗 https://github.com/santifer/career-ops
📝 Open-source AI job search: scan job portals, evaluate listings with a structured A-F rubric into a 1.0-5.0 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…)
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Could not generate summary at this time.

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🧠 Channel: https://t.me/GithubRe