calibre is a free and open-source eBook management program that helps users build and maintain digital libraries. It supports a wide range of eBook formats and provides tools for organizing metadata, converting file types, editing content, and transferring books to reading devices.

It runs on Windows, macOS, and Linux, making it highly accessible.

Download calibre 9.18.0 - Software Mirrors

Download calibre 9.18.0 for Windows 64bit
Link1 | Link2

Download calibre 9.18.0 for macOS
Link1 | Link2

Download calibre 9.18.0 for Windows 64bit (Portable)
Link1 | Link2

Download calibre 9.18.0 for Linux

Key Features

Comprehensive Library Management

calibre allows you to:

  • Organize books by title, author, tags, series, and custom columns

  • Edit metadata individually or in bulk

  • Download metadata and covers automatically

  • Search and filter large collections instantly

For users with thousands of eBooks, its database structure is extremely efficient.

Powerful Format Conversion

One of calibre’s strongest features is its format conversion engine. It supports conversion between formats such as:

  • EPUB

  • MOBI

  • AZW

  • PDF

  • DOCX

Conversion settings allow fine control over layout, fonts, structure, and metadata.

Device Synchronization

calibre detects many eReaders automatically when connected. It can transfer books directly to devices and convert them to compatible formats during transfer.

This simplifies managing books across multiple reading platforms.

Built-In eBook Editor

calibre includes a full-featured editor that allows you to modify EPUB and other supported formats. You can edit HTML, CSS, structure, and metadata directly.

This is useful for fixing formatting issues or customizing book layouts.

Content Server

calibre includes a built-in content server that lets you access your library through a web browser on your local network. This makes it possible to read or download books wirelessly from other devices.

Plugin Ecosystem

The plugin system expands functionality with additional tools, including metadata sources, interface enhancements, and advanced management utilities.

Performance and Usability

calibre is stable and performs well even with large libraries. Initial learning may take time due to the number of features available. The interface is functional rather than modern, but highly customizable.

Advanced users appreciate the depth of configuration options, while beginners may need short tutorials to unlock its full potential.

Pros and Cons

Pros

  • Free and open source

  • Extensive format support

  • Advanced metadata editing

  • Strong conversion engine

  • Device compatibility

  • Large plugin ecosystem

Cons

  • Interface can feel dated

  • Learning curve for advanced features

  • Conversion from complex PDFs may require adjustments

Who Should Use calibre

calibre is ideal for:

  • Avid readers managing large eBook collections

  • Researchers organizing digital documents

  • Users converting formats between devices

  • Anyone who wants full control over their digital library

If you regularly manage, convert, or edit eBooks, calibre is one of the best tools available.

Final Verdict

calibre is a comprehensive and powerful eBook management solution that combines organization, conversion, editing, and synchronization in one application. Its open-source nature and feature depth make it unmatched in flexibility.

calibre is a powerful open-source eBook management application that allows users to organize, convert, edit, and transfer digital books across devices. It is widely used by readers, researchers, and digital librarians who need full control over their eBook collections.

calibre 9.18.0
Free
Download

Software Informations:
Developer:

Operating System:
Windows / macOS / Linux
Date Added:
2026-11-06T08:07:17.459Z

Ollama is a local AI runtime that enables users to run popular open source language models such as LLaMA, Mistral, Gemma, and others directly on their system. All processing happens locally, which helps protect sensitive data and reduces dependency on internet connectivity.

It is designed to be minimal, fast, and developer friendly.

Download Ollama 0.40.15 - Software Mirrors

Download Ollama 0.40.15
for Windows
PowerShell: irm https://ollama.com/install.ps1 | iex

Download Ollama 0.40.15
for macOS
sh (macOS or Linux): curl -fsSL https://ollama.com/install.sh | sh

Download From GitHub

Download Ollama 0.40.15 for Windows
OllamaSetup.exe | 1.57 GB

Download Ollama 0.40.15 for macOS
Ollama.dmg | 219.17 MB

Download Ollama 0.40.15 for Windows ARM64
ollama-windows-arm64.zip | 207.09 MB

Download Ollama 0.40.15 for Windows AMD64
ollama-windows-amd64.zip | 1.5 GB

Download Ollama 0.40.15 for Windows AMD64
ollama-windows-amd64-rocm.zip | 246.8 MB

Download Ollama 0.40.15 for Windows AMD64
ollama-windows-amd64-mlx.zip | 881.53 MB

Download Ollama 0.40.15 for Linux ARM64
ollama-linux-arm64.tar.zst | 1.49 GB

Download Ollama 0.40.15 for Linux ARM64
ollama-linux-arm64-jetpack6.tar.zst | 262.48 MB

Download Ollama 0.40.15 for Linux ARM64
ollama-linux-arm64-jetpack5.tar.zst | 288.67 MB

Download Ollama 0.40.15 for Linux AMD64
ollama-linux-amd64.tar.zst | 1.44 GB

Download Ollama 0.40.15 for Linux AMD64
ollama-linux-amd64-rocm.tar.zst | 1004.24 MB

Download Ollama 0.40.15 for Linux AMD64
ollama-linux-amd64-mlx.tar.zst | 1.13 GB

Download Ollama 0.40.15 for macOS
Ollama-darwin.zip | 218.49 MB

Download Ollama 0.40.15 for macOS
ollama-darwin.tgz | 177.36 MB

Download Ollama 0.40.15 for macOS and Linux sh
install.sh | 15.53 kB

Download Ollama 0.40.15 for Windows PowerShell
install.ps1 | 22.1 kB

Ollama 0.40.15 Release Notes:

MiMo V2.6

Xiaomi MiMo's mimo-v2.6, a 9B model built for code and agent workflows, is now supported in Ollama. 
ollama run mimo-v2.6

AutoTrust decision models

AutoTrust decision models read text and return choices, yes or no probabilities, and ratings for the questions you supply. The family includes 9b, 35b, and 27b-vl sizes — the 35b and 27b-vl sizes can also read images. 
ollama run autotrust-jev "A customer says their card was charged twice." --ask "Is this a billing issue?"
Note: autotrust-jev is supported on Apple silicon in this release.

What's Changed

  • ollama launch now supports Kimi Code CLI — the successor to kimi-cli — and offers to migrate existing kimi-cli setups
  • ollama launch now fills in Pi's model list automatically so models can be picked inside Pi, and Claude Desktop's model
picker shows Ollama's actual model names
  • Recurrent and vision GGUF models can now serve more than one request at a time
  • Qwen3 and Qwen3.5 models using long-context (YaRN) scaling
  • Running ollama with no arguments opens the welcome launcher
Full Changelog: v0.40.14...v0.40.15

Key Features of Ollama

Ollama focuses on simplicity and performance.

Main features include:

  • Run large language models fully offline

  • Simple command line interface

  • Built in model management and downloads

  • Support for popular open source LLMs

  • Optimized inference on CPU and GPU

  • Local REST API compatible with OpenAI style endpoints

  • Cross platform support

These features make Ollama easy to integrate into development workflows.

Supported Platforms and Hardware

Ollama is available on:

  • macOS

  • Linux

  • Windows

Hardware requirements depend on the model size. Smaller models can run on CPUs, while larger models benefit from GPUs with sufficient VRAM. Ollama automatically optimizes performance based on available hardware.

Performance and Reliability

Ollama is optimized for efficient local inference. It starts quickly, uses system resources effectively, and handles long running sessions reliably.

Model performance varies depending on the chosen model and system specifications, but overall stability is strong.

Ease of Use

Ollama is very easy to use for developers and technical users. Running a model often requires only a single command. The local API server allows seamless integration with applications, scripts, and development tools.

Non technical users may prefer graphical alternatives, but Ollama remains straightforward once basic commands are learned.

Is Ollama Safe to Use

Yes, Ollama is safe when downloaded from the official source. All model execution is local, and no data is sent to external servers unless explicitly configured by the user.

This makes Ollama suitable for private and sensitive workloads.

Pros and Cons of Ollama

Pros:

  • Fully offline and privacy friendly

  • Simple installation and usage

  • Lightweight and fast

  • Strong developer API support

  • Wide range of supported models

Cons:

  • Command line focused interface

  • No built in graphical UI

  • Performance depends on hardware

Despite these limitations, Ollama is widely respected in the local AI community.

Common Use Cases

Ollama is commonly used for:

  • Local AI chat assistants

  • Software development and code generation

  • Research and experimentation

  • Private AI workflows

  • API based AI integrations

Its simplicity makes it ideal for rapid testing and deployment.

Final Verdict

Ollama is an excellent solution for running large language models locally with minimal setup. It prioritizes privacy, speed, and developer control while staying lightweight and efficient.

For users comfortable with the command line and API based tools, Ollama is one of the best local AI runtimes available.

Ollama is a lightweight tool that allows users to run large language models locally on their own computer. It is popular among developers, researchers, and privacy focused users who want full control over AI models without relying on cloud based services.

Ollama simplifies the process of downloading, running, and managing local AI models through a simple command line and API.

Ollama 0.40.15
Free
Download

Software Informations:
Developer:

Operating System:
Windows / macOS / Linux
Date Added:
2026-11-06T07:07:20.973Z

AudioMuse-AI is an open source, self-hosted application that uses AI-powered sonic analysis to organize music libraries and generate smart playlists. Unlike traditional music managers that rely on metadata such as genres or tags, AudioMuse-AI analyzes the actual audio characteristics of your music to discover similar tracks, create playlists, and visualize your collection. It integrates with popular self-hosted music servers including Jellyfin, Navidrome, Emby, Lyrion Music Server, and other Open Subsonic-compatible platforms.

Many music applications depend on manually assigned genres or online recommendation services. AudioMuse-AI takes a different approach by performing local machine learning analysis on your audio files using technologies such as Librosa and ONNX. This allows it to generate recommendations based on how songs actually sound rather than relying on metadata or external APIs.

Because all analysis happens locally, the software is especially appealing to users who value privacy and maintain self-hosted music libraries.

Key Features of AudioMuse-AI

AI-Based Sonic Analysis

AudioMuse-AI analyzes the acoustic properties of every track in your collection to build an internal representation of each song. This enables highly accurate recommendations based on musical similarity rather than artist names or genres.

Automatic Playlist Generation

The application can automatically generate playlists for different moods, styles, or listening sessions. Users can also create playlists from a favorite song, allowing the system to find tracks with similar sonic characteristics.

Music Map Visualization

One of the standout features is the interactive Music Map, which displays songs in a two-dimensional space based on their musical similarity. This offers a unique way to explore large music collections visually.

Song Paths

AudioMuse-AI can create smooth transitions between two songs by selecting tracks that gradually bridge the musical differences, making playlists feel more natural and cohesive.

Natural Language Search

Users can search for music using descriptive phrases such as "calm piano music" or "high-tempo low-energy songs." Recent versions also introduce lyric-based semantic search for discovering music by meaning as well as sound.

Self-Hosted and Privacy Focused

All processing is performed locally without uploading music to cloud services. AudioMuse-AI is distributed as Docker containers and supports Docker Compose, Podman, and Kubernetes deployments.

Download AudioMuse-AI v3.7.1 - Software Mirrors

AudioMuse-AI v3.7.1 for Windows

AudioMuse-AI-amd64-windows.zip | 1.48 GB

AudioMuse-AI v3.7.1 for macOS

AudioMuse-AI-arm64-macos.zip | 1.44 GB

AudioMuse-AI v3.7.1 for Linux

AudioMuse-AI-x86_64-linux.rpm | 1.4 GB

AudioMuse-AI-x86_64-linux.deb | 1.4 GB

AudioMuse-AI-aarch64-linux.rpm | 1.37 GB

AudioMuse-AI-aarch64-linux.deb | 1.37 GB

AudioMuse-AI v3.7.1 Source Code

AudioMuse-AI v3.7.1 Source code (zip)

AudioMuse-AI v3.7.1 Source code (tar.gz)

AudioMuse-AI v3.7.1 Release Notes:

💛 Give AudioMuse-AI a gift this Christmas AudioMuse-AI will always remain free and open source, because everyone deserves the chance to rediscover their music, regardless of their resources. But keeping it alive, improving it, and making it grow takes time, dedication, and resources. Right now, we have 2,521 users on Navidrome alone, based on the users who have anonymous data collection enabled on Navidrome. If just 20% of them donate €10, that would be enough to help sustain AudioMuse-AI and keep it growing for another year. Your donation helps cover the AI subscriptions needed for development (~€220/month), homelab electricity for testing (~€20/month) and further improvements and research. As the year comes to an end and Christmas approaches, if AudioMuse-AI has brought something valuable to your music library, consider making a small donation as a gift to the project. And if you are fortunate enough to have a little more to give, your support could make a real difference in keeping it alive and helping it reach even more people. Every contribution matters. Thank you for helping AudioMuse-AI remain free for everyone. 💛 Release Date: November 5th, 2026 AudioMuse-AI v3.7.1 include maintenance update, including security fix.

What's Changed

  • macOS native: reuse the compiled CLAP Core ML model across sessions - #958 by @jucor in #986
  • session expire fix - #994 by @NeptuneHub in #995
  • Add new macOS app and menu bar icons by @nano9g in #996
  • pr native build fix by @NeptuneHub in #998
Security Fix
  • GHSA-8ph4-3rgv-8hvr - instant playlist performance improvement by @NeptuneHub in #997

New Contributors

  • @jucor made their first contribution in #986
  • @nano9g made their first contribution in #996
Full Changelog: v3.7.0...v3.7.1

Performance and User Experience

Once the initial library analysis is complete, playlist generation and music discovery are fast and responsive. Initial analysis may take some time depending on the size of the music library and available hardware, but it only needs to process new or changed tracks afterward. Minimum recommended hardware includes a modern four-core CPU and 8 GB of RAM.

The web interface is clean and continues to improve with features such as a setup wizard, dashboard, multi-user support, and authentication. The project is actively maintained with frequent feature updates and bug fixes.

Pros

  • Free and open source.

  • AI analyzes actual audio instead of relying on metadata.

  • Excellent automatic playlist generation.

  • Interactive music visualization.

  • Privacy-friendly local processing.

  • Supports Jellyfin, Navidrome, Emby, and Lyrion.

  • Docker and Kubernetes support.

  • Active development and growing community.

Cons

  • Initial music analysis can take several hours for large libraries.

  • Requires self-hosting knowledge.

  • Benefits are greatest with well-organized local music collections.

  • Hardware requirements are higher than traditional music library managers.

Who Should Use AudioMuse-AI?

AudioMuse-AI is ideal for self-hosting enthusiasts, audiophiles, Jellyfin and Navidrome users, music collectors, and anyone with a large local music library who wants smarter playlist generation without relying on commercial streaming services.

Users who primarily listen through Spotify, Apple Music, or YouTube Music will benefit less, since AudioMuse-AI is designed for self-hosted collections rather than streaming platforms.

Final Verdict

AudioMuse-AI is one of the most innovative open source projects for self-hosted music libraries. Its AI-powered sonic analysis, intelligent playlist generation, visual music exploration, and privacy-first design offer capabilities that go well beyond traditional music management software.

Although it requires a self-hosted environment and an initial analysis period, the results are impressive. For users running Jellyfin, Navidrome, Emby, or similar platforms, AudioMuse-AI is an excellent addition that can transform how a personal music collection is explored and enjoyed.

AudioMuse-AI v3.7.1
Free
Download

Software Informations:
Developer:

Operating System:
Windows / macOS / Linux
Date Added:
2026-11-06T07:07:20.726Z

At its core, Brave Browser is built on the open-source Chromium engine, ensuring compatibility with most websites and extensions from the Chrome Web Store. However, what sets it apart is its aggressive stance on privacy. Out of the box, Brave blocks third-party ads, trackers, cookies, and fingerprinting techniques that websites use to profile users.

  • Shields Protection: Brave's signature feature is "Shields," a customizable panel that lets users adjust blocking levels per site. It categorizes threats into ads, trackers, upgrades to HTTPS, and even script blocking. According to Brave's own transparency reports, the browser blocks billions of tracking attempts daily across its user base.

  • Tor Integration: For ultimate anonymity, Brave includes a private window with Tor, routing traffic through the Tor network to mask IP addresses. This is particularly useful for journalists, activists, or anyone in restrictive regimes.

Download Brave Browser Release v1.99.55 (Chromium 157.0.8103.39) Offline Installer

Windows

macOS

Installer - 64bit (161.21 MB)

Installer - 32bit (151.24 MB)

Installer - ARM64 (165.24 MB)

Silent Installer - 64bit (161.2 MB)

Silent Installer - 32bit (151.25 MB)

Silent Installer - ARM64 (165.24 MB)

Installer - 64bit (140.24 MB)

Installer - 32bit (130.15 MB)

Installer - ARM64 (145.1 MB)

Silent Installer - 64bit (140.25 MB)

Silent Installer - 32bit (130.15 MB)

Silent Installer - ARM64 (145.1 MB)

DMG - ARM64 (221.59 MB)

PKG - ARM64 (213.74 MB)

DMG - Universal (326.57 MB)

PKG - Universal (313.5 MB)

DMG - AMD64 (239.53 MB)

PKG - AMD64 (231.36 MB)

DMG - ARM64 (162.59 MB)

PKG - ARM64 (153.25 MB)

DMG - Universal (260.43 MB)

PKG - Universal (246.58 MB)

DMG - AMD64 (180.8 MB)

PKG - AMD64 (172.11 MB)

Linux

Android / IOS

RPM - ARM64 (140.25 MB)

RPM - AMD64 (148.9 MB)

ZIP - AMD64 (204.61 MB)

ZIP - ARM64 (204.22 MB)

DEB - AMD64 (147.37 MB)

DEB - ARM64 (138.84 MB)

RPM - ARM64 (125.01 MB)

RPM - AMD64 (132.95 MB)

ZIP - AMD64 (184.64 MB)

ZIP - ARM64 (184.83 MB)

DEB - AMD64 (131.42 MB)

DEB - ARM64 (123.53 MB)

brave-core-ios-1.99.55.app.dSYM.zip (675.28 MB)

brave-core-ios-1.99.55.ipa (287.79 MB)

Bravearm64Universal.apk (202.7 MB)

BraveMonoarm.apk (221.44 MB)

BraveMonoarm64.apk (348.84 MB)

BraveMonox64.apk (384.98 MB)

BraveMonox86.apk (296.29 MB)

Brave Browser Release v1.99.55 (Chromium 157.0.8103.39) Offline Installer Release Notes:

Release v1.99.55 (Chromium 157.0.8103.39)

Android

Pick the APK suitable for your device's architecture.

iOS

brave-core-ios-1.99.55.* contains Brave for iOS.

Linux

DEB and RPM packages attached below, details at https://brave.com/linux

macOS

Brave--.dmg or Brave--.pkg will install this version. macOS 12 and above are supported as per https://support.brave.app/hc/en-us/articles/360021357112-What-are-the-system-requirements-to-install-Brave

Windows

Brave*Setup.exe will fetch and install the latest available version for your CPU architecture from our update servers. Windows 10 and above are supported as per https://support.brave.app/hc/en-us/articles/360021357112-What-are-the-system-requirements-to-install-Brave

Release Notes

Leo

  • Improved Leo to present a list of choices when it needs clarification on a task. (#59649)
  • Improved suggested follow-up prompts. (#59650)
  • Updated AI Chat models. (#59701)
  • Fixed issue where a compromised Leo conversation frame could approve AI Chat tool-use requests without a direct user action. (#59703)

General

  • Re-enabled "Allow split view drag-and-drop on left or right edge of window" setting under brave://settings/braveContent. (#49752)
  • Updated icon in URL bar to magnifying glass for Brave Search. (#58178)

Origin Release Notes

  • Re-enabled "Allow split view drag-and-drop on left or right edge of window" setting under brave://settings/braveContent. (#49752)
  • Updated icon in URL bar to magnifying glass for Brave Search. (#58178)

Unlike incognito modes in other browsers, which merely hide history from your device, Brave prevents data from leaving your machine in the first place.

Privacy doesn't come at the cost of speed. Brave claims to load pages up to 3-6 times faster than competitors by stripping out ad-laden content. Tests conducted by outlets like PCMag and Tom's Hardware in 2024 confirm this: Brave consistently outperforms Chrome in resource usage and load times, especially on ad-heavy sites like news portals.

The browser achieves this through:

  • Ad and Tracker Blocking: Removing bloatware elements reduces data transfer and rendering time.

  • Optimized Resource Management: Lower CPU and RAM usage means smoother multitasking, ideal for low-end devices.

Brave Browser is available on Windows, macOS, Linux, Android, and iOS. Syncing across devices is seamless via end-to-end encryption, without requiring an account.

Key features include:

Brave Search: An independent, ad-free search engine launched in 2021, now powering default searches. It doesn't track queries and offers "Goggles" for custom result filtering.

Brave Wallet: A built-in crypto wallet supporting Ethereum, Solana, and more, with NFT viewing and DeFi integration.

IPFS Support: Peer-to-peer file sharing for decentralized web access.

AI Integration: Brave introduced "Leo," an on-device AI assistant for summarizing pages, translating, or answering queries without cloud tracking.

Brave Browser has emerged as a formidable alternative to mainstream browsers like Chrome, Firefox, and Safari. Launched in 2016 by Brave Software, Inc., co-founded by Brendan Eich the creator of JavaScript and former Mozilla CEO Brave prioritizes user privacy, speed, and a unique ad-reward system. with over 60 million monthly active users, Brave is not just a browser, it's a statement against the pervasive data-tracking economy dominated by tech giants.

Brave Browser Release v1.99.55 (Chromium 157.0.8103.39) Offline Installer
Free
Download

Software Informations:
Developer:

Operating System:
Windows / Mac / Linux
Date Added:
2026-11-06T06:07:20.620Z

SvelteKit is the official full-stack framework built on top of Svelte.

It provides everything needed to build modern web applications, including:

  • File-based routing

  • Server-side rendering (SSR)

  • Static site generation (SSG)

  • API endpoints

  • Form handling

  • Authentication integration

  • Data loading

  • Edge deployment support

  • Full-stack development workflows

Rather than requiring developers to combine multiple libraries and tools, SvelteKit delivers a complete development experience out of the box.

SvelteKit has established itself as one of the most impressive full-stack web frameworks available today. Built as the official application framework for Svelte, it combines frontend development, server-side rendering, backend functionality, and deployment tooling into a single streamlined platform.

Often compared to Next.js for the React ecosystem, SvelteKit takes a different approach by focusing on simplicity, performance, and developer productivity. With the maturity of Svelte 5 and SvelteKit 2, the framework has become a serious contender for startups, SaaS platforms, content-driven websites, and enterprise applications.

Download SvelteKit 2.70.4 Source - Software Mirrors

SvelteKit 2.70.4 source (tar.gz)

SvelteKit 2.70.4 Source (zip)

Getting Started Guide

SvelteKit 2.70.4 Release Notes:

Patch Changes

  • fix: return a 400 response instead of throwing when reroute rewrites a malformed pathname (#17620)
  • fix: escape cache-control headers in prerendered HTML (#17620)
  • fix: prevent path traversal when previewing prerendered pages and data on Windows (#17620)
  • fix: prevent server-side route resolution from loading code from another origin for pathnames starting with // (#17620)
  • fix: prevent server-side self-fetch fallbacks from following redirects (#17620)

Key Features of SvelteKit

Server-Side Rendering

SvelteKit includes first-class server-side rendering support, helping websites load quickly while improving search engine visibility and overall user experience.

Developers can choose between:

  • Server-side rendering

  • Static generation

  • Client-side rendering

  • Hybrid rendering approaches

This flexibility makes the framework suitable for a wide range of projects.

File-Based Routing

Creating routes is straightforward. Files and folders directly map to application routes, reducing configuration and keeping project structures easy to understand.

Powerful Data Loading

SvelteKit's load functions simplify fetching data on both the server and client.

This architecture helps eliminate much of the complexity commonly associated with data fetching in modern web applications.

API Endpoints

Developers can build backend functionality directly within the same project.

SvelteKit supports:

  • REST APIs

  • Server actions

  • Authentication handlers

  • Database integrations

  • Custom backend services

This reduces the need for separate backend repositories in many projects.

Form Actions

One of SvelteKit's standout features is its built-in form handling system.

Form actions allow developers to process submissions on the server without relying heavily on client-side JavaScript, resulting in simpler and more accessible applications.

Edge and Serverless Deployments

The framework supports deployment across numerous platforms and infrastructures, including:

  • Node.js servers

  • Serverless functions

  • Edge environments

  • Static hosting platforms

This flexibility allows developers to choose hosting solutions that match their performance and budget requirements.

Developer Experience

Developer experience is arguably SvelteKit's greatest strength.

The framework removes much of the boilerplate commonly found in larger ecosystems. Routing, data loading, form handling, and rendering strategies work together in a cohesive manner that feels intuitive and well-designed.

Many developers report that projects require significantly less code compared to similar implementations using React-based frameworks.

The documentation is also among the best in the web development industry, making it easier for both beginners and experienced developers to become productive quickly.

Performance

Performance is one of the primary reasons developers choose SvelteKit.

Because it is built on Svelte's compiler-based architecture, applications typically benefit from:

  • Smaller JavaScript bundles

  • Faster page loads

  • Improved runtime performance

  • Lower memory usage

  • Better Core Web Vitals scores

The framework consistently performs well in real-world benchmarks and production deployments.

Ecosystem and Community

The SvelteKit ecosystem continues to grow rapidly.

Developers now have access to:

  • UI component libraries

  • Authentication providers

  • Database integrations

  • CMS solutions

  • Deployment adapters

  • Testing frameworks

While the ecosystem remains smaller than React's, most common development requirements are well supported.

The community is known for being welcoming, highly technical, and focused on developer productivity.

Learning Curve

SvelteKit is generally easier to learn than many competing full-stack frameworks.

Developers familiar with:

  • HTML

  • CSS

  • JavaScript

  • Basic web concepts

can often become productive quickly.

The framework's conventions are logical, and its documentation provides excellent guidance for common development scenarios.

Real-World Use Cases

SvelteKit works exceptionally well for:

  • SaaS platforms

  • Startup applications

  • Marketing websites

  • E-commerce stores

  • Content management systems

  • Dashboards

  • Documentation sites

  • Progressive web apps

Its flexibility allows teams to build both small projects and large production applications using the same framework.

Limitations

Despite its strengths, SvelteKit still faces a few challenges.

The most common concerns include:

  • Smaller ecosystem compared to React

  • Fewer enterprise-specific integrations

  • Smaller hiring pool

  • Less third-party tooling than mature competitors

  • Some libraries prioritize React support first

These limitations are becoming less significant as adoption continues to increase.

Pros

  • Excellent performance

  • Outstanding developer experience

  • Minimal boilerplate

  • Powerful server-side rendering capabilities

  • Built-in API routes and backend functionality

  • Flexible deployment options

  • Strong TypeScript support

  • Exceptional documentation

  • Modern and intuitive architecture

Cons

  • Smaller ecosystem than React frameworks

  • Fewer enterprise-focused tools

  • Smaller developer talent pool

  • Some third-party integrations arrive later than React equivalents

  • Less widespread enterprise adoption

Who Should Use SvelteKit?

SvelteKit is ideal for:

  • Indie developers

  • Startups

  • Freelancers

  • SaaS builders

  • Full-stack developers

  • Agencies

  • Teams prioritizing performance and maintainability

It is particularly attractive for developers who want a complete full-stack framework without excessive complexity.

SvelteKit successfully combines modern frontend development, backend capabilities, and deployment flexibility into one of the most elegant frameworks available today. Its excellent performance, streamlined developer experience, and powerful full-stack capabilities make it a compelling choice for building modern web applications. While React-based frameworks still dominate in ecosystem size and enterprise adoption, SvelteKit offers a level of simplicity and productivity that few competitors can match.

SvelteKit 2.70.4
Free
Download

Software Informations:
Developer:

Operating System:
Framework
Date Added:
2026-11-06T06:07:20.613Z

Cursor has quickly become one of the most popular AI-powered coding editors, designed as a VS Code–compatible environment with deep AI integration for code generation, refactoring, debugging, and project-wide reasoning. Cursor blends a full modern IDE with ChatGPT-like reasoning and VSCode-like familiarity.

Download Cursor (Latest)

Windows (x64) (System)
Windows (x64) (User)
Windows (ARM64) (System)
Windows (ARM64) (User)

Mac (x64)
Mac (ARM64)
Mac (Universal)

Linux .deb (x64)
Linux .deb (ARM64)
Linux RPM (x64)
Linux RPM (ARM64)
Linux AppImage (x64)
Linux AppImage (ARM64)

Download Cursor 3.29.9

Windows (x64) (System)
Windows (x64) (User)
Windows (ARM64) (System)
Windows (ARM64) (User)

Mac (x64)
Mac (ARM64)
Mac (Universal)

Linux .deb (x64)
Linux .deb (ARM64)
Linux RPM (x64)
Linux RPM (ARM64)
Linux AppImage (x64)
Linux AppImage (ARM64)

Cursor is an AI-first code editor built on top of the VS Code ecosystem. It includes:

  • A modern editor with familiar VS Code UI

  • Support for VS Code extensions, themes, shortcuts, and tools

  • Deep AI integration that can analyze your entire codebase

  • Project-level understanding instead of just single-file suggestions

  • Chat-style reasoning infused directly into your project workspace

Cursor combines the speed of a traditional editor with the intelligence of a developer assistant that can read, write, and help you refactor code.

Benefits of Using Cursor

  • Faster Development
    AI-driven suggestions dramatically cut boilerplate time and help produce features faster.

  • Better Code Quality
    Refactoring and rewrite tools help improve structure, consistency, and clarity.

  • Enhanced Understanding
    Developers can ask Cursor to explain complex workflows, making onboarding easier.

  • Easier Debugging
    The AI can analyze errors, suggest fixes, or point to related logic across files.

  • Improved Architectures
    Cursor can propose reorganized structures or modern patterns for cleaner design.

Cursor represents the next evolution of programming tools: an editor where AI is not an add-on, but a core part of the development experience. By blending VS Code familiarity with powerful project-aware AI assistance, Cursor helps developers write better code, learn faster, and build software more efficiently.

Changelog: https://cursor.com/changelog

Cursor 3.29.9
Free
Download

Software Informations:
Developer:

Operating System:
Windows / Mac / Linux
Date Added:
2026-11-06T05:07:13.944Z

OpenClaw, formerly known as Clawd Bot, stands out as one of the most exciting open-source personal AI assistants available in 2026. This powerful tool brings advanced AI capabilities directly into your daily messaging apps, letting you chat with a smart assistant that actually gets things done. Whether you want to manage emails, write code, or stay organized across platforms, OpenClaw delivers a seamless experience while keeping your data under your control.

What Is OpenClaw?

OpenClaw is an open-source, self-hosted AI personal assistant that runs on your own devices or a cloud server. Created by developer Peter Steinberger, it first gained massive attention under the name Clawd Bot before rebranding to OpenClaw on January 27, 2026. The name change came after Anthropic raised trademark concerns related to similarities with their Claude AI model. The shift to OpenClaw symbolizes growth and adaptation, much like a lobster molting its shell to grow bigger and stronger.

The project exploded in popularity thanks to its innovative approach. It integrates deeply with the messaging apps you already use every day, turning them into a gateway for interacting with advanced AI. With over 30,000 GitHub stars, a thriving Discord community of thousands, and contributions from hundreds of developers, OpenClaw has quickly become a favorite among tech enthusiasts and productivity seekers.

Download OpenClaw v2026.11.1 - Software Mirrors

OpenClaw v2026.11.1 for macOS

OpenClaw-2026.11.1.zip | 739.75 MB

OpenClaw-2026.11.1.dmg | 555.12 MB

OpenClaw-2026.11.1-x86_64.zip | 467.28 MB

OpenClaw-2026.11.1-x86_64.dmg | 361.02 MB

OpenClaw-2026.11.1-arm64.zip | 441.93 MB

OpenClaw-2026.11.1-arm64.dmg | 326.8 MB

OpenClaw v2026.11.1 for Linux

OpenClaw-2026.11.1-amd64.deb | 61.13 MB

OpenClaw-2026.11.1-amd64.AppImage | 179.35 MB

OpenClaw v2026.11.1 Source Code

OpenClaw v2026.11.1 Source code (zip)

OpenClaw v2026.11.1 Source code (tar.gz)

OpenClaw v2026.11.1 Release Notes:

2026.11.1

Highlights

  • Safer Mac settings: failed config saves no longer overwrite secrets, and turning off Tailscale exposure keeps Gateway authentication intact. (#187734, #187664) Fixes #187600, #187597 Thanks @anmol0b.
  • More reliable channel replies: Telegram, Discord, and webhook conversations keep reaching the agent after request handlers or earlier turns finish. (#179200, #179385, #179704, #189457) Fixes #178554 Thanks @steipete, @LiuwqGit, @jalehman, and @vincentkoc.
  • Conversations survive more interruptions: oversized turns retain useful history, and stopping the first Claude CLI turn no longer starts the next message from scratch. (#191146, #181966, #186380) Fixes #191133, #181945 Thanks @Yun-0000, @obviyus, @mirasrael, and @holgergruenhagen.
  • Update recovery gets unstuck after crashed or canceled updaters, restores the Windows Gateway after failed verification, and avoids repeated full-database copying during large-state checks. (#177932, #186787, #189647, #182632, #187921) Fixes #177684, #184893, #189620 Thanks @duyufansh2008, @RomneyDa, @fuller-stack-dev, @TheAngryPit, @sukhdeepjohar, @steipete, @syxscott, and @stephen3303.
  • Subagents keep their follow-ups through model and session changes, while parent sessions receive child approvals even with a custom session store. (#186238, #183501, #189827) Fixes #179289, #189823 Thanks @steipete, @Marvinthebored, @RomneyDa, and @ekinnee.
  • Android End Talk with a compatible Gateway stops listening without canceling accepted agent work, so its answer can still arrive in chat; explicit cancellation remains available. (#172276, #188798) Thanks @RomneyDa.
  • Provider recovery respects provider-specified rate-limit timing, and Gemini Flash text models use Interactions by default on the official API-key endpoint while custom proxies retain their existing default. (#180280, #189395) Thanks Ayaan Zaidi, @evomach, @sukhdeepjohar, @RomneyDa.

Changes

  • Claude CLI: saved subscription accounts can make configured models available without a separate native login, and operators can opt into native Agent and Workflow orchestration through plugins.entries.anthropic.config.managedNativeTools; the default remains off and restricted runs keep their existing tool limits. (#179203, #183765) Thanks @RomneyDa.
  • Anthropic: API-key setup can record an optional Anthropic workspace ID; existing workspace headers are preserved, and workspace-scoped keys need no extra setting. (#186976) Thanks Ayaan Zaidi, @evomach, @sukhdeepjohar, @RomneyDa.
  • Google: Interactions requests honor managed proxy and TLS settings, rotate eligible API keys before streaming after a rate limit, preserve native video input, and forward nucleus sampling consistently; choose google-generative-ai when explicit Gemini cache handles are required. (#189395, #190695) Thanks @RomneyDa.
  • Bedrock Mantle: discovered numbered OpenAI GPT models select the Responses route automatically, while GPT-OSS keeps Chat Completions and Claude keeps Anthropic Messages. Thanks @MertBasar0, @anmol0b, @shakkernerd, @kybrcore, @sukhdeepjohar, @potoior, @RomneyDa.
  • Control UI: the model picker shows the configured active context budget rather than only the model maximum, and short session links retain their intended navigation target. (#180870, #183148) Thanks @RomneyDa.
  • Google Chat: remote HTTP(S) attachments are delivered as visible links alongside captions; local files and native uploads remain unsupported with service-account authentication. Thanks @RomneyDa.
  • Update diagnostics: detailed readiness separates a ready core from channel outages, allowing repaired updaters to finish with named channel warnings without hiding HTTP 503 or weakening normal service-start checks. Thanks @duyufansh2008, @RomneyDa.

Fixes

  • Network and tool safety: ClickClack and ClawHub reject redirects into unrelated private services, Discord CDN downloads no longer inherit browser private-network access, and FIFO native-hook credentials are rejected without hanging the agent. (#190944, #190939, #191458, #191423) Thanks @pgondhi987, @SebTardif, and @Leon-SK668.
  • Doctor consent and access policy: noninteractive checks no longer download plugins without repair consent, and explicitly empty group allowlists remain empty instead of being repopulated. (#191523, #174787) Fixes #191420, #173826 Thanks @brandonulrich, @steipete, and @lockhartheavyindustries.
  • Recovery data: malformed UTF-8 legacy imports are rejected instead of replacing original content; failed skill restore rollbacks preserve the original copy, and cleanup refuses destructive work when workspace inspection fails. (#180861, #173954, #174195, #176362) Fixes #180782, #180795 Thanks @RomneyDa, @duyufansh2008, @steipete, and @wangmiao0668000666.
  • Log redaction: malformed custom entries no longer disable valid rules or built-in secret protection; invalid policy is reported while safe redaction remains active. (#173471) Thanks @skyzhao1223 and @RomneyDa.
  • Secret egress: reject chains relying on the distrusted emSign ECC G3 root in the managed proxy and exported subprocess CA bundle; restart the Gateway after updating, and update clients with independent trust stores separately. (#179249) Thanks @RomneyDa.
  • macOS connectivity: configured credentials take precedence over stale app environment, typed environment secret references resolve correctly, and remote Settings respects the Control UI base path. (#191468, #185141, #128175) Fixes #164596 Thanks @RomneyDa, @anmol0b, and @goldmar.
  • Mac tools and messaging: iMessage remains usable after app updates without re-granting Automation, Peekaboo window inspection accepts valid snapshot references, and node exec preserves results for commands configured without a timeout. (#186107, #172116, #190729) Fixes #178719 Thanks @aniketkrs, @RomneyDa, @anmol0b, @SharkeyDev, @holgergruenhagen, @LiuwqGit, and @etzelm.
  • Mac voice and embedded pages: avoid duplicate voice sends and false sent feedback, and show a recoverable load error instead of a blank or stale Mac tab. (#186271, #185432) Thanks @anmol0b, @etzelm, and @RomneyDa.
  • Native voice and capture: iOS and macOS Talk tolerate slow audio acknowledgments within bounded buffering, long meeting replies are not cut off merely because generation outruns playback, and oversized Mac recordings fail with size guidance instead of dropping the node connection. Thanks @MertBasar0, @anmol0b, @shakkernerd, @kybrcore, @sukhdeepjohar, @potoior, and @RomneyDa.
  • Android and desktop compatibility: Android Chat waits for the role-allowed agent list after switching Gateways, and independently updated Mac nodes can return optional cursor coordinates without a computer-use contract error. Thanks @MertBasar0, @anmol0b, @shakkernerd, @kybrcore, @sukhdeepjohar, @potoior, @RomneyDa.
  • Channel recovery: Slack detects dead relay connections without treating ordinary silence as failure, Tlon reconnects stalled streams so unacknowledged events can replay, and managed Tailscale exposure recovers after a daemon restart while local authenticated access stays available. Thanks @RomneyDa.
  • Channel delivery: Feishu keeps text from before and after tool calls in the same streaming card; Synology confirms delivery only from recipient-matched message IDs; Twitch targets and Zalo unsupported-event text follow their channel handling rather than silently losing usable content. Thanks @RomneyDa.
  • Channel credentials and notices: implicit Slack default accounts retain complete top-level credentials alongside named accounts, channel secret consumers respect account activation, and Nostr reports failed pairing notifications without undoing approval. Thanks @RomneyDa.
  • iMessage storage: recovery cursor keys no longer contain a PostgreSQL-incompatible NUL separator, allowing the channel to start with PostgreSQL-backed state. (#184919) Fixes #184862 Thanks @duyufansh2008, @RomneyDa, and @etzelm.
  • Session and agent authority: deleting one agent no longer breaks other agents' tool authority, and local session-capability changes stop inappropriate provider fallback instead of trying every model. (#174918, #179312) Fixes #179290 Thanks @steipete, @chelsealong, @obviyus, and @Marvinthebored.
  • Prompt caching: session tool definitions stay stable across turns, including completions, heartbeats, and non-owner requests, avoiding unnecessary prompt-cache misses. (#175309, #176167) Thanks @obviyus.
  • Conversation recovery: compaction retains the active human request across repeated summaries; queue overflow summaries retain each visible sender and conversation context; exec completion guidance survives overflow. (#180214, #187833, #190698, #182188, #184216) Thanks @RomneyDa and @aniketkrs.
  • Codex continuity: conversation-wide restrictions retain compatible native threads, temporary restrictions preserve the ordinary conversation binding, and a missing thread with recorded history reports an error instead of silently starting over. Thanks @skyzhao1223 and @RomneyDa.
  • Codex replies: transient retries can summarize the original request and completed tools without rerunning them; terminal handoffs allow already-submitted steering a bounded chance to confirm consumption and do not automatically replay uncertain input. (#183077, #184062, #181839, #167390) Thanks @RomneyDa.
  • Shared credentials and model availability: concurrent MCP callers can reuse a fresh OAuth token without unnecessary exclusive locking, rate-limit cooldowns follow provider timing instead of accumulating hours of local backoff, and fresh model publications replace superseded refresh results. (#179997, #180280, #179144) Thanks @RomneyDa.
  • Claude CLI and scheduled work: canceled cron runs stop reply hooks, interrupted long-running jobs no longer prevent scheduler startup, oversized or invalid CLI streams cancel their subprocess promptly, and managed completions retain the policy-filtered tool catalog. (#181245, #191422, #159931, #172026) Thanks @steipete and @fuller-stack-dev.
  • Session history and memory: long transcript decoding releases database read snapshots promptly, bounded history pages keep their requested anchors and adjacent messages, and memory indexing waits for archived transcript materialization. (#164442, #172970, #177937, #182091, #190182, #189284, #188450, #188483, #190690) Fixes #171467 Thanks @RomneyDa, and @etzelm.
  • Subagent and restart recovery: live descendants keep their expired parents available for communication, accepted yields settle sibling tool results before handoff, and stale interrupted input no longer blocks a new human message indefinitely. (#179057, #184021, #180853, #181871, #178888, #184041, #184069, #172959) Thanks @RomneyDa.
  • Agent handoffs: waiting session sends recover the stored long reply instead of returning only a short lifecycle preview, and ACP-created sessions retain the requested working directory for later prompts. (#178271, #176852) Thanks @RomneyDa.
  • Control UI recovery: silently dead Gateway connections reconnect without replaying uncertain sends, consumed slash-steering messages leave the queue, and routine restart notices stay concise. (#179101, #178642, #180024, #172843) Thanks @RomneyDa.
  • GitHub workflows: active sessions can open the reconnect flow, failed follow-up pushes retain the existing PR, and readers no longer hang while discarding response bodies. (#180200, #187835, #191721) Fixes #187832 Thanks @RomneyDa, @anmol0b, @obviyus, and @nocodet888-arch.
  • Plugin lifecycle: startup avoids recopying managed binaries, repairs owned stale host links after installation-root changes, and keeps plugin background readers alive for admitted callbacks and cleanup; internal plugin reload resumes stay in the current session rather than using an old external recipient. (#187865, #181140, #182207, #179031, #181270, #179549, #190982) Thanks @Satoshi-Kusumoto, @RomneyDa, @jasonftl, and @obviyus.
  • Gateway startup and shutdown: retry transient database locks during stale-claim cleanup and sidecar startup, and exit after clean shutdown instead of waiting for systemd to kill a process with a leaked handle. (#187724, #186920, #191251) Fixes #187723, #186875, #191119 Thanks @masatohoshino, @obviyus, @steipete, @yousan, @bianyuxia-commits, and @davesanvil.
  • Update startup and migration: recover with retained worker indexes, avoid crashes in automatic migration recovery from 2026.10.7–2026.10.9, preserve recovery errors, and reject Git targets that require an unavailable newer Node before staging. (#189023, #189713, #191495, #181715) Thanks @RomneyDa and @steipete.
  • Update repair: release abandoned cancellation custody and resolve pending package steps without repair loops; restore a suspended Windows Gateway task after failed verification while retaining the original failure details. (#177932, #186787, #189647) Fixes #177684, #184893, #189620 Thanks @RomneyDa, @fuller-stack-dev, @TheAngryPit, @sukhdeepjohar, @steipete, @syxscott, and @stephen3303.
  • Update captures and service handoff: ignore Finder metadata when listing recovery captures, recover CLI Node runtimes when launched from /, and classify an unavailable automatic-update service handoff as skipped rather than an unrecorded failure. (#186663, #178112, #188405) Fixes #186650, #177739, #188302 Thanks @duyufansh2008, @RomneyDa, @steipete, @woshicby, @downingkeys, and @ARSA31.
  • Doctor migrations: bound long Matrix archive filenames, preserve config promotion when only migration guidance changes, run explicitly requested headless repairs, return failure rather than success when required work was skipped, and retain invalid heartbeat quiet hours with actionable validation. (#187443, #190665, #187192, #186305) Fixes #187390, #190658, #187122 Thanks @RomneyDa, @skyzhao1223, @steipete, @dakoller, @saariuslystoned, and @JordanNewell.
  • Configuration and store recovery: explain how to recover when an older binary meets newer config; relative session stores resolve against the active state directory, and Doctor merges legacy misplaced stores with backups while preserving conflicting conversations and refusing unsafe retirement. (#187639, #182444, #181554, #180414, #179089) Fixes #152791 Thanks @RomneyDa, @duyufansh2008, @steipete, and @kip-claw.
  • Service and backup reliability: repaired updaters distinguish durable database changes from read-only WAL bookkeeping, wait for the serving Mac child to release state, preserve valid replacement config without metadata, and keep unrelated service overrides intact during supported Node repairs. Thanks @RomneyDa.
  • Diagnostics and provider tools: timeout messages distinguish an unknown tool outcome from a safe retry, Anthropic PDF requests use the selected account's proper authentication, and Gemini/Vertex streams stop at terminal markers instead of consuming later frames. (#180247, #182429, #184434, #178420, #117397) Thanks Ayaan Zaidi, @evomach, @sukhdeepjohar, @RomneyDa, @MertBasar0, @anmol0b, @shakkernerd, @kybrcore, @potoior.

Complete contribution record

This audited record covers the complete v2026.10.10..63e490a32182f338dba0267cea5a161f40f288dd history: 78 in-range PRs + 0 retained seed-only PRs = 78 unique PRs. The generation manifest also supplies direct commits as editorial input; the grouped notes above prioritize user impact.

Pull requests

  • PR #185258 Thanks @RomneyDa.
  • PR #180164 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #180169 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #180203 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #180201 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #180191 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #180211 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #180180 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #189712 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #189720 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #187991 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #180183 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #189718 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #187994 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #189748 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #189715 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #189130 Related #178554. Thanks @steipete and @LiuwqGit.
  • PR #179200 Related #178554. Thanks @steipete and @LiuwqGit.
  • PR #179385 Related #178554. Thanks @steipete and @LiuwqGit.
  • PR #179704 Related #178554. Thanks @jalehman and @LiuwqGit.
  • PR #189457 Related #178554. Thanks @vincentkoc and @LiuwqGit.
  • PR #191641 Related #178554. Thanks @RomneyDa and @LiuwqGit.
  • PR #187734 Related #187600. Thanks @anmol0b.
  • PR #187664 Related #187597. Thanks @anmol0b.
  • PR #191468 Thanks @RomneyDa.
  • PR #185141 Related #164596. Thanks @anmol0b and @goldmar.
  • PR #187639 Related #152791. Thanks @steipete and @kip-claw.
  • PR #187865 Thanks @jasonftl and @obviyus.
  • PR #172116 Thanks @holgergruenhagen and @LiuwqGit.
  • PR #186107 Related #178719. Thanks @anmol0b and @SharkeyDev.
  • PR #185432 Thanks @etzelm and @RomneyDa.
  • PR #186271 Thanks @anmol0b.
  • PR #190729 Thanks @etzelm.
  • PR #184919 Related #184862. Thanks @etzelm.
  • PR #189023 Thanks @RomneyDa.
  • PR #189713 Thanks @steipete.
  • PR #191495 Thanks @RomneyDa and @steipete.
  • PR #182632 Thanks @steipete.
  • PR #187921 Thanks @steipete.
  • PR #181715 Thanks @steipete.
  • PR #181245 Thanks @steipete.
  • PR #181966 Related #181945. Thanks @holgergruenhagen.
  • PR #186380 Thanks @holgergruenhagen and @obviyus.
  • PR #175309 Thanks @obviyus.
  • PR #176167 Thanks @obviyus.
  • PR #180200 Thanks @RomneyDa.
  • PR #174918 Thanks @steipete.
  • PR #179312 Related #179290. Thanks @chelsealong and @obviyus and @Marvinthebored.
  • PR #186238 Related #179289. Thanks @steipete and @Marvinthebored.
  • PR #183501 Thanks @Marvinthebored and @RomneyDa.
  • PR #189827 Related #189823. Thanks @ekinnee.
  • PR #187835 Related #187832. Thanks @anmol0b and @obviyus.
  • PR #164442 Related #171467. Thanks @etzelm.
  • PR #191422 Thanks @fuller-stack-dev.
  • PR #191423 Thanks @Leon-SK668.
  • PR #191458 Thanks @SebTardif.
  • PR #191146 Related #191133. Thanks @Yun-0000 and @obviyus and @mirasrael.
  • PR #191721 Thanks @nocodet888-arch.
  • PR #190944 Thanks @pgondhi987.
  • PR #190939 Thanks @pgondhi987.
  • PR #191523 Related #191420. Thanks @brandonulrich and @steipete.
  • PR #187443 Related #187390. Thanks @steipete and @dakoller.
  • PR #186663 Related #186650. Thanks @steipete and @woshicby.
  • PR #186728 Thanks @steipete.
  • PR #178112 Related #177739. Thanks @steipete and @downingkeys.
  • PR #188405 Related #188302. Thanks @steipete and @ARSA31.
  • PR #190665 Related #190658. Thanks @saariuslystoned and @steipete.
  • PR #191251 Related #191119. Thanks @steipete and @davesanvil.
  • PR #174787 Related #173826. Thanks @steipete and @lockhartheavyindustries.
  • PR #187724 Related #187723. Thanks @masatohoshino and @obviyus.
  • PR #186920 Related #186875. Thanks @steipete and @yousan and @bianyuxia-commits.
  • PR #187192 Related #187122. Thanks @steipete and @JordanNewell.
  • PR #189647 Related #189620. Thanks @steipete and @stephen3303.
  • PR #177932 Related #177684. Thanks @fuller-stack-dev and @TheAngryPit.
  • PR #186787 Related #184893. Thanks @sukhdeepjohar and @steipete and @syxscott.
  • PR #188473 Thanks @vincentkoc.
  • PR #180861 Related #180782, #180795. Thanks @steipete and @wangmiao0668000666.
  • PR #185193 Thanks @RomneyDa.

Release verification

  • npm package: https://www.npmjs.com/package/openclaw/v/2026.11.1
  • registry tarball: https://registry.npmjs.org/openclaw/-/openclaw-2026.11.1.tgz
  • integrity: sha512-2pSbt/taBKM/ofPXsiOEmVefgUdVHYRZOmcWNDyx67WUfeGFXqtfqLvtwYOiH4NcLolDSLMUgsno2oYhTVXptw==
  • release SHA: 4ffdd2047d192dd65554de3c8c46c0e0197c6e2a
  • full release CI report: https://github.com/openclaw/releases/blob/main/evidence/2026.11.1/release-evidence.md
  • release publish: https://github.com/openclaw/openclaw/actions/runs/41974576853
  • npm preflight: https://github.com/openclaw/openclaw/actions/runs/41948095430
  • full release validation: https://github.com/openclaw/openclaw/actions/runs/41947503209
  • plugin npm publish: https://github.com/openclaw/openclaw/actions/runs/41997110216
  • plugin ClawHub submission: https://github.com/openclaw/openclaw/actions/runs/41997115628; public finalization and exact artifact verification follow terminal release-parent completion
  • plugin ClawHub bootstrap: not needed
  • OpenClaw npm publish: https://github.com/openclaw/openclaw/actions/runs/41998320248
  • npm Telegram beta E2E: not supplied
  • Android APK: skipped — apps/android/version.json is 2026.8.2, release train is 2026.11.1; run pnpm android:version:pin -- --from-gateway before the next tag.

Key Features of OpenClaw

OpenClaw goes far beyond simple chat responses. It acts as an active agent that can handle real tasks, remember context across sessions, and even reach out to you proactively.

Here are some of its standout features:

  • Multi-channel support: Connects to WhatsApp, Telegram, Discord, Slack, Signal, iMessage, Microsoft Teams, Matrix, Google Chat, and more. You get one unified conversation that persists no matter which app you use.

  • Proactive assistance: Unlike passive chatbots, OpenClaw can send you messages first with reminders, alerts, morning briefings, or updates when something important happens.

  • Persistent memory: It remembers everything from past interactions, so you never have to repeat context when picking up unfinished work.

  • Powerful integrations: Links to tools for email management (like Gmail triage, drafting replies, or unsubscribing), code editing in IDEs, calendar handling, and custom skills you can build or download.

  • Voice and text input: Send voice notes on supported apps for transcription and processing, with more audio features in development.

  • Self-hosted privacy: Run it locally on your Mac, Linux machine, or a cloud droplet. Your data stays with you instead of feeding into big cloud AI services.

  • Easy onboarding: The CLI wizard (openclaw onboard) guides you through setup, including daemon installation for always-on access.

Developers love using it for coding tasks, where it can fix tests, generate full-stack features, or compile research notes. Everyday users appreciate inbox zero automation, smart replies, and consolidated messaging from multiple platforms.

How to Get Started with OpenClaw

One-liner

#for macOS/linux
curl -fsSL https://openclaw.ai/install.sh | bash

#for Windows
powershell -c "irm https://openclaw.ai/install.ps1 | iex"

npm

npm i -g openclaw
openclaw onboard

pnpm

pnpm add -g openclaw
openclaw onboard

Download DMG file for macOS

Download OpenClaw Windows Hub

Many run it on a home machine for privacy or on a cheap cloud server for 24/7 access. Once live, add OpenClaw as a contact in WhatsApp or invite the bot to your Discord server, then start chatting.

OpenClaw represents the next step in personal AI. It combines large language model smarts with real-world action, persistent context, and deep system access in a way few tools do. You get an assistant that lives in your existing apps, handles routine tasks autonomously, and evolves with community contributions.

If you value privacy, customization, and true productivity boosts, OpenClaw deserves a spot in your workflow. Head to the official site at https://openclaw.ai/, check the docs at https://docs.openclaw.ai/, or join the active Discord to see what others are building. The future of personal AI assistants looks a lot like OpenClaw, and it's already here for anyone ready to self-host it.

OpenClaw v2026.11.1
Free
Download

Software Informations:
Developer:

Operating System:
MacOS / Windows / Linux
Date Added:
2026-11-06T05:07:13.923Z
Subscribe to: Posts (Atom)