Search Results for "memory read"

Vellum is an open-source personal AI assistant platform designed to function as a persistent, autonomous digital companion across desktop and messaging environments. Unlike traditional chatbot interfaces, the project focuses on long-term memory, identity, proactive behavior, and real-world tool usage, enabling assistants to evolve alongside the user over time. The system integrates with macOS, Telegram, Slack, SMS, and additional communication channels while maintaining shared memory and context across platforms. Its architecture combines local-first storage, tool orchestration, sandboxed execution, and extensible workflow automation to allow assistants to read files, manage schedules, send messages, browse the web, and control applications. ...

MMKV for Android is an efficient, small mobile key-value storage framework developed by WeChat. Works on Android, iOS, macOS, Windows, and POSIX. Efficient. MMKV uses mmap to keep memory synced with file, and protobuf to encode/decode values, making the most of Android to achieve best performance. MMKV supports concurrent read-read and read-write access between processes. Easy-to-use. You can use MMKV as you go. All changes are saved immediately, no sync, no apply calls needed. MMKV contains process locks, encode/decode helpers and mmap logics and nothing more. ...

...Use the Passcode function for an advanced level of protection of single folders or to prevent access to Nextcloud to other potential users of your iPhone. You can enable the automatic loading from the camera so your photos shots will be available on your Nextcloud. You can enable memory optimization Nextcloud to save space on your iPhone.

...Inline hook, thanks to Dobby. Android import hook, thanks to xHook. iOS fishhook and substrate and whale hook. unicorn backend support simple console debugger, gdb stub, instruction trace, memory read/write trace. Support iOS objc and swift runtime. Support dynarmic fast backend. Support Apple M1 hypervisor, the fastest ARM64 backend. Support Linux KVM backend with Raspberry Pi B4.

Traditional editors (Notepad++, VS Code) try to load the entire file into RAM. If a file is larger than your available memory, the application crashes. Log Voyager acts like a video streaming service but for text: It creates a virtual map of the file. It reads only a tiny buffer (50KB) corresponding to the scrollbar position. When you scroll or jump, the old buffer is discarded, and a new one is read from the disk. This ensures consistent performance whether the file is 5MB or 50GB.

The OpenClaw Mobile Dashboard. Monitor agent's real-time thoughts, actions, track token costs, and manage tasks from anywhere using your pocket-sized Mission Control.

...If you are new to Virtual Machines, then please watch the Video below ( taken from my other project. just replace td with koha wherever mentioned ) After starting this VM, please access these websites ( Just Accept Any Warnings ) : Public Website Address: https://koha.local Staff Website Address: https://koha.local:4430 Staff Username: staff Staff Password: change_this from any PC on your Local Network. For better performance, Increase the CPU Count & Memory in the VM's Settings, as available on the physical machine. Also, read the koha guidelines, given on the Wiki Page of this site, for choosing the right hardware resources. Backup the system regularly, to avoid any issues, as in the video. Google Search helps in finding more about Koha.

Haneke is a lightweight generic cache for iOS and tvOS written in Swift 4. It's designed to be super-simple to use. Haneke provides a memory and LRU disk cache for UIImage, NSData, JSON, String or any other type that can be read or written as data. Particularly, Haneke excels at working with images. It includes a zero-config image cache with automatic resizing. Everything is done in background, allowing for fast, responsive scrolling. Asking Haneke to load, resize, cache and display an appropriately sized image is very simple. ...

three20 is a historically significant iOS framework originally extracted from Facebook’s app, providing a broad set of utilities and UI components for early iPhone development. It introduced a URL-based navigation system, image/caching pipelines, styled text labels, and a photo browser that many apps adopted before iOS shipped similar features. The library championed modularity with packages you could include piecemeal, helping teams standardize networking, model objects, and table view...