🌟 palmier-io/palmier-pro caught my eye on GitHub Trending today.

🔗 https://github.com/palmier-io/palmier-pro
📝 macOS video editor built for AI
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Palmier Pro is a video editor built for AI that allows you to generate and edit videos together inside the timeline. It's a Swift-native app with a built-in generative AI feature that supports models like Seedance and Kling.

You can use it for free as a video editor, and it also has a free MCP server for experimenting with agents like Claude or Cursor. The app is fully open source except for the generative AI processing, and it's available for macOS 26 (Tahoe) on Apple Silicon.

To get started, you can download the app and use it without a login, or connect your agents via MCP for more advanced features.

The takeaway: Palmier Pro is revolutionizing video editing by merging human creativity with AI power - edit, generate, and collaborate like never before!

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🧠 Channel: https://t.iss.one/GithubRe

🔍 Deep-diving into CoreBunch/Instatic — fresh off the trending list.

🔗 https://github.com/CoreBunch/Instatic
📝 The open-source alternative to Webflow, Framer and WordPress. Agentic self-hosted visual CMS outputting clean static pages. Users, roles, plugins, content, database, it's all there.
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Instatic is a self-hosted CMS that combines a visual editor, content engine, and publisher in one Bun server, producing clean, semantic HTML and compact CSS. With Core Framework built-in, it offers a design-token engine, fluid spacing scales, and a utility-class generator.

Key features include a canvas editor, visual components, templates, loops, and forms that belong to the CMS. It also has an AI agent that edits the page and imports that hold up.

For management, Instatic offers a content model, data workspace, content workspace, media workspace, and access control. Analytics include a dashboard and audit log.

Instatic is suitable for developers and site owners who want a self-hosted, customizable, and extensible CMS. With its plugin system, it allows developers to extend its functionality.

Instatic can be deployed in one click using Railway or Render, and it supports SQLite and Postgres databases.

One-liner takeaway: Instatic is a powerful, self-hosted CMS that puts you in control of your website, with a flexible design system, robust content management, and extensible architecture.

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🧠 Channel: https://t.iss.one/GithubRe

💡 Lordog/dive-into-llms just hit the trending charts — here's why it matters.

🔗 https://github.com/Lordog/dive-into-llms
📝 《动手学大模型Dive into LLMs》系列编程实践教程
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The Dive into LLMs repository on GitHub is a practical programming tutorial series designed to help users quickly get started with large language models (LLMs). The project, led by Shanghai Jiao Tong University, provides a step-by-step guide to fine-tuning and deploying pre-trained models, as well as exploring various topics such as prompt learning, knowledge editing, and model watermarking.

The repository includes a range of practical exercises and example code to help users understand and apply LLMs in different scenarios. With its comprehensive tutorial directory, users can easily navigate and find the resources they need to improve their skills.

Whether you're a researcher, developer, or student, this repository offers a valuable resource for learning about LLMs and their applications. The project is open-source and free, making it accessible to anyone interested in this field.

With its strong focus on practical skills and real-world applications, the Dive into LLMs repository is an excellent starting point for anyone looking to dive into the world of large language models. Get ready to learn by doing and take your skills to the next level - the future of AI is in your hands!

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🧠 Channel: https://t.iss.one/GithubRe

🚀 Meet RyanCodrai/turbovec: a gem from today's GitHub trending list.

🔗 https://github.com/RyanCodrai/turbovec
📝 A vector index built on TurboQuant, written in Rust with Python bindings
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The RyanCodrai/turbovec GitHub repository is home to a powerful, open-source Rust vector index with Python bindings, built on Google Research's TurboQuant algorithm. This innovative solution enables fast and efficient vector search, making it ideal for applications where memory, latency, or privacy are critical concerns.

Key Features:
- Online ingest: add vectors without the need for a separate training phase or rebuilds
- Fast SIMD search: hand-written NEON (ARM) and AVX-512BW (x86) kernels for optimal performance
- Filter at search time: pass an id allowlist or slot bitmask to the search function for precise results
- Pure local: no managed service or data leaving your machine, perfect for air-gapped RAG stacks

Technical Highlights:
- Built on TurboQuant algorithm, a data-oblivious quantizer with near-optimal distortion
- Supports both Python and Rust interfaces
- Achieves high recall and compression rates, outperforming FAISS in many scenarios

The turbovec library is suitable for a wide range of audiences, from developers and researchers to businesses and organizations seeking to integrate efficient vector search capabilities into their applications.

To get started, you can install turbovec via pip install turbovec or cargo add turbovec, and explore its features and documentation.

Turbocharge your vector search with turbovec - it's the perfect solution for building fast, efficient, and private RAG stacks!

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🧠 Channel: https://t.iss.one/GithubRe

🚀 Meet OtterMind/Chat2DB: a gem from today's GitHub trending list.

🔗 https://github.com/OtterMind/Chat2DB
📝 🔥🔥🔥 AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
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Meet Chat2DB, a powerful, AI-driven database client and SQL workspace designed for developers, DBAs, analysts, and data teams. Key features include support for 30+ databases, a full-featured SQL workspace, an AI assistant for generating and optimizing SQL, and database management capabilities.

To get started, you can download the installer or run it via Docker. The application offers a user-friendly interface with features like dashboards and charts, ER diagrams, and visual data management.

From a technical perspective, Chat2DB is built with security in mind, using AES-256-GCM encryption to protect stored data. The project is open-source and welcomes contributions from the community.

Whether you're a seasoned developer or just starting out, Chat2DB is an excellent tool for anyone working with databases. Give it a try and discover how it can simplify your workflow! Chat2DB: Where databases meet AI.

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🧠 Channel: https://t.iss.one/GithubRe

🌟 andrewyng/aisuite caught my eye on GitHub Trending today.

🔗 https://github.com/andrewyng/aisuite
📝 Simple, unified interface to multiple Generative AI providers
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Aisuite is a lightweight Python library for building applications with Large Language Models (LLMs). It provides a unified Chat Completions API across multiple providers, including OpenAI, Anthropic, and Google, and an Agents API with tools and toolkits for more complex tasks.

Key features include:
- A Chat Completions API for a unified interface across LLM providers
- An Agents API for building agents with tools and toolkits
- Support for MCP tools and streaming for real-time interactions

To get started, install aisuite using pip install aisuite and set up your API keys. The library is designed for developers and researchers looking to build applications with LLMs.

Technical highlights include:
- Provider-agnostic API for easy switching between LLM providers
- Tool calling for executing Python functions as tools
- State stores and artifacts for persisting and tracing agent runs

The aisuite library is ideal for:
- Developers building LLM-powered applications
- Researchers exploring AI capabilities
- Anyone looking for a unified API across multiple LLM providers

One-liner takeaway: Aisuite simplifies Large Language Model interactions with a unified API and powerful tooling, making it easier to build innovative AI applications.

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🧠 Channel: https://t.iss.one/GithubRe

💡 affaan-m/ECC just hit the trending charts — here's why it matters.

🔗 https://github.com/affaan-m/ECC
📝 The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
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The ECC (agent harness operating system) GitHub repository is an open-source project that provides a comprehensive system for agentic work. It includes skills, instincts, memory optimization, continuous learning, security scanning, and research-first development. The project is designed to work across multiple AI agent harnesses, including Codex, Claude Code, Cursor, OpenCode, Gemini, Zed, and GitHub Copilot.

Key features of the ECC system include:

* Token optimization: model selection, system prompt slimming, and background processes
* Memory persistence: hooks that save/load context across sessions automatically
* Continuous learning: auto-extract patterns from sessions into reusable skills
* Verification loops: checkpoint vs continuous evals, grader types, pass@k metrics
* Parallelization: git worktrees, cascade method, when to scale instances
* Subagent orchestration: the context problem, iterative retrieval pattern

The project has a large community of contributors and users, with over 211.9K+ stars, 32.5K+ forks, and 230+ contributors. It is available in multiple languages, including English, Portuguese, Chinese, Japanese, Korean, and many others.

To get started with ECC, users can follow the guides, which explain everything from setup to advanced topics. The project also has a Discord community and a GitHub App for private repositories.

One-liner takeaway: ECC is a powerful, open-source agent harness operating system that enables users to build and deploy agentic workflows across multiple AI platforms, with a strong focus on community, security, and continuous learning.

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🧠 Channel: https://t.iss.one/GithubRe

🎯 permissionlesstech/bitchat landed on trending. Worth a proper look.

🔗 https://github.com/permissionlesstech/bitchat
📝 bluetooth mesh chat, IRC vibes
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Introduction to BitChat: BitChat is a decentralized peer-to-peer messaging app that combines the power of local Bluetooth mesh networks for offline communication with the global reach of the Nostr protocol over the internet. This unique dual transport architecture allows users to stay connected without relying on central servers or accounts.

Key Features include:
- Dual Transport Architecture: Bluetooth mesh for offline and Nostr protocol for internet-based messaging
- Location-Based Channels: Geographic chat rooms using geohash coordinates
- Intelligent Message Routing: Automatic choice of transport for optimal messaging
- Decentralized Mesh Network: Automatic peer discovery and multi-hop message relay
- Privacy First: No accounts, no phone numbers, and end-to-end encryption

Technical Highlights:
- Hybrid messaging architecture for seamless communication
- Noise Protocol for end-to-end encryption in Bluetooth mesh
- BitChat private envelopes for secure messaging over Nostr relays
- Performance optimizations for battery efficiency and speed

Audience: BitChat is designed for anyone looking for a private and decentralized messaging solution, including those in areas with limited internet access or in need of secure communication without reliance on central authorities.

Usage is straightforward: download the app from the App Store or visit bitchat.free for more information.

In summary, BitChat offers a powerful, private, and decentralized messaging experience, making it an excellent choice for those seeking secure and reliable communication. Take control of your messaging with BitChat - your conversations, your way, without borders or boundaries.

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🧠 Channel: https://t.iss.one/GithubRe

🚀 Meet citrolabs/ego-lite: a gem from today's GitHub trending list.

🔗 https://github.com/citrolabs/ego-lite
📝 The fastest browser for AI agents to run web automation, built for sharing your logged-in browser state with your AI agents, like Codex or Claude Code, without disturbing you. Zero cost, zero config.
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The citrolabs/ego-lite repository on GitHub is home to a revolutionary browser designed for seamless collaboration between humans and AI agents. This browser, called ego lite, enables users and their agents to work in parallel, with each agent running multiple tasks in its own dedicated Space. The key features of ego lite include its code base approach, which allows for faster task completion with fewer tokens, and its ability to provide a dedicated Space for every agent, ensuring that users and agents don't interfere with each other.

To get started with ego lite, users can download the macOS app or add the ego-browser skill using npx. The browser is designed to be used with any agent, and its ego-browser skill exposes the browser as a set of in-page JavaScript tools that can be controlled by the agent.

Some of the technical highlights of ego lite include its parallel workspaces, which allow multiple agents to work on different tasks simultaneously, and its page Snapshot feature, which provides a high-quality view of web pages that can be used by AI models to "see" and act on the page.

The ego lite browser is available for macOS and is free to download. It's designed for anyone who wants to harness the power of AI agents to automate web-based tasks, and its community is active and supportive, with resources available on Discord, GitHub Discussions, and X/Twitter.

In short, ego lite is a game-changer for anyone looking to streamline their workflow with the help of AI agents - it's the ultimate productivity hack!

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🧠 Channel: https://t.iss.one/GithubRe