Search Results for "shared memory allocator"

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. ...

...This provides a secure platform to share your files. History tracking your files for easy management, ability to use your own Send hosts. Inspect or delete shared files, accurate error reporting. Streaming encryption and uploading/downloading, very low memory footprint. Intended for use in scripts without interaction.

KurobaEx is a fast Android app for browsing imageboards, such as 4chan and 8chan. It's a fork of Kuroba. Ability to attach multiple media files to reply, attach media files that were shared by external apps (even by some keyboards), attach remote media files by URL, etc. New image downloader. Allows downloading images while the app is in the background, retrying failed to download images, resolving duplicates, etc.

...Plus, most RIB logic is decoupled from child RIB logic. This makes RIB classes easy to test and reason about independently. Tooling for developer productivity. RIBs come with IDE tooling around code generation, memory leak detection, static analysis and runtime integrations.

Binary Modular DataFlow Machine (BMDFM) is a software package that enables running an application in parallel on shared memory symmetric multiprocessing (SMP) computers using the multiple processors to speed up the execution of single applications. BMDFM automatically identifies and exploits parallelism due to the static and mainly dynamic scheduling of the dataflow instruction sequences derived from the formerly sequential program. The BMDFM dynamic scheduling subsystem performs a symmetric multiprocessing (SMP) emulation of a tagged-token dataflow machine to provide the transparent dataflow semantics for the applications. ...