Search Results for "memory" - Page 14
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Showing 3192 open source projects for "memory"
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Joern
Open-source code analysis platform for C/C++/Java/Binary/Javascript
Joern is a platform for analyzing source code, bytecode, and binary executables. It generates code property graphs (CPGs), a graph representation of code for cross-language code analysis. Code property graphs are stored in a custom graph database. This allows code to be mined using search queries formulated in a Scala-based domain-specific query language. Joern is developed with the goal of providing a useful tool for vulnerability discovery and research in static program analysis. -
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Lua
The Lua development repository, as seen by the Lua team
...Lua combines simple procedural syntax with powerful data description constructs based on associative arrays and extensible semantics. Lua is dynamically typed, runs by interpreting bytecode with a register-based virtual machine, and has automatic memory management with incremental garbage collection, making it ideal for configuration, scripting, and rapid prototyping. Lua is designed, implemented, and maintained by a team at PUC-Rio, the Pontifical Catholic University of Rio de Janeiro in Brazil. Lua was born and raised in Tecgraf, formerly the Computer Graphics Technology Group of PUC-Rio. ... -
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OpenH264
Open Source H.264 Codec
Cisco has taken their H.264 implementation and open-sourced it under BSD license terms. Development and maintenance will be overseen by a board from the industry and the open-source community. Furthermore, we have provided a binary form suitable for inclusion in applications across a number of different operating systems and made this binary module available for download from the Internet. We will not pass on our MPEG-LA licensing costs for this module, and based on the current licensing... -
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FramePack
Lets make video diffusion practical
...The idea is to “pack” frames by detecting shared structure and storing differences efficiently, which can accelerate training or inference on video-like data. By reducing I/O and memory bandwidth, datasets become lighter to load while models still see the essential temporal variation. The repository demonstrates both packing and unpacking steps, making it straightforward to integrate into preprocessing pipelines. It’s useful for diffusion and generative models that learn from sequential image datasets, as well as classical pipelines that batch many related frames. ... -
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Defending Code Reference Harness
Skills for threat modeling, scanning, triage, patching, etc.
...The project includes skills for threat modeling, scanning, triage, patching, and customizable autonomous analysis workflows. Its default pipeline focuses on finding memory bugs in C and C++ code using ASAN as the crash detector. The overall architecture is meant to be adaptable, so teams can modify it for other languages, bug classes, and detection systems. Its main value is giving defenders a practical framework for exploring AI-assisted secure code review and remediation. -
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Napkin Math
Techniques and numbers for estimating system's performance
...It collects practical numbers, benchmark-style measurements, and mental models that help engineers make fast back-of-the-envelope calculations. The project is useful for questions like how much memory throughput matters, how long storage operations may take, what network latency to expect, or how expensive logging could become at high request volume. It treats these values as rounded numbers for reasoning rather than exact performance guarantees. The repository is especially useful for system design interviews, architecture planning, capacity estimation, and infrastructure cost discussions. ... -
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agentic-stack
One brain, many harnesses. Portable .agent/ folder
...It likely provides components for managing agent workflows, communication, and task execution across different systems. The project emphasizes modularity, enabling developers to assemble custom pipelines using various AI models, tools, and APIs. It may include abstractions for memory, planning, and tool usage, reflecting modern agentic AI design patterns. The stack is intended to accelerate development by providing reusable building blocks for complex AI systems. Overall, it represents an infrastructure layer for creating autonomous or semi-autonomous AI applications. -
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yourself-skill
Instead of distilling others, it is better to distil yourself
...It encourages systems to maintain awareness of user preferences, goals, and communication styles. The project emphasizes building more human-aligned interactions by incorporating memory and contextual reasoning. It can be integrated into broader AI systems to improve personalization and continuity across sessions. The design focuses on enhancing user experience through adaptive responses. It is particularly useful for conversational agents and assistants. Overall, it contributes to more context-aware and user-centered AI systems. -
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lru-cache
A fast cache that automatically deletes the least recently used items
node-lru-cache is a high performance in memory caching library for Node.js that automatically evicts the least recently used items when the cache reaches its size limit. It is designed to provide predictable memory usage while maintaining fast lookup and update operations. The library is widely used in server side JavaScript applications where efficient caching can significantly improve performance. -
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PyOpenCL
OpenCL integration for Python, plus shiny features
...It enables developers to harness the full power of heterogeneous computing directly from Python, combining Python’s ease of use with the performance benefits of OpenCL. PyOpenCL also includes convenient features for managing memory, compiling kernels, and interfacing with NumPy, making it a preferred choice in scientific computing, data analysis, and machine learning workflows that demand acceleration. -
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parca
Continuous profiling for analysis of CPU and memory usage
Continuous profiling for analysis of CPU, memory usage over time, and down-to-the-line number. Saving infrastructure costs, improving performance, and increasing reliability. A single profiler, using eBPF, automatically discovers targets from Kubernetes or systemd across the entire infrastructure with very low overhead. Supports C, C++, Rust, Go, and more. Both producing pprof formatted profiles with the eBPF-based profiler and ingesting any pprof formatted profiles allowing for wide language adoption and interoperability with existing tooling. ... -
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Agrona
High Performance data structures and utility methods for Java
Agrona provides a library of data structures and utility methods that are a common need when building high-performance applications in Java. Many of these utilities are used in the Aeron efficient reliable UDP unicast, multicast, and IPC message transport and provides high-performance buffer implementations to support the Simple Binary Encoding Message Codec. -
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baru
A system monitor written in Rust and C
Baru gathers the information from /sys and /proc filesystems (filled by the kernel). Except for audio and network modules that use C libraries. There is no memory leak over time. All modules are threaded. Thanks to this design (as well as Rust and C), baru is lightweight and efficient. It can run at a high refresh rate with a minimal processor footprint. The audio module communicates with the PipeWire/PulseAudio server through client API to retrieve its data. Wireless and wired modules use the netlink interface with the help of libnl to talk directly to the kernel and retrieve their data. ... -
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SmartFormat
A lightweight text templating library written in C#
SmartFormat is a is a lightweight text templating library written in C# which can be a drop-in replacement for string.Format. More than that SmartFormat can format data with named placeholders, lists, localization, pluralization and other smart extensions. High performance with low memory footprint. Minimal, intuitive syntax. Formatting takes place exclusively at runtime. Exact control of whitespace text output. string.Format compatibility mode and SmartFormat enhanced mode. Most common data sources work out-of-the-box. Many built-in formatting extensions. Custom formatting and source extensions are easy to integrate. -
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Kudu
Free Windows, Mac and Linux cleaner, scanner, and more
...Users can analyze disk usage, manage startup programs, uninstall software, remove bloatware, clean stale drivers, and update multiple applications in bulk. Real-time monitoring displays processor, memory, storage, network, and drive health information. Kudu also supports scheduled scans, restore points, cleaning history, one-click maintenance, command-line automation, and an interface translated into 30 languages. -
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Toxic
A Tox-based instant messaging and video chat client
Toxic is a Tox protocol-based command-line messenger for Linux, offering fully encrypted, decentralized, and serverless instant messaging. It includes features such as text messaging, file transfer, and audio calls—all without requiring user accounts or central servers. Toxic is designed for power users who prefer a minimalist interface, operating entirely within a terminal while delivering strong privacy through the Tox peer-to-peer protocol. It’s lightweight, fast, and ideal for use in... -
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Windows 95 in Electron
Windows 95 in Electron. Runs on macOS, Linux, and Windows
...Users can interact with familiar UI elements like the Start menu, File Explorer, and retro applications in a sandboxed environment that evokes early personal computing. Beyond being a playful trip down memory lane, the project demonstrates how emulation can be packaged using modern frameworks & how legacy operating systems can be encapsulated as distributable desktop experiences. It’s become an example of how software preservation and creative programming can intersect, inspiring others to bring historic systems to life. -
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TinyClaw
The original Tiny Claw as your personal autonomous AI companion
...Its philosophy centers on creating a persistent AI companion that behaves more like a helpful digital partner than a purely configurable assistant. TinyClaw incorporates self-improving memory and smart routing mechanisms intended to reduce large language model costs by tiering queries intelligently. The framework is designed to be self-configuring and easy to set up compared to more complex agent stacks, with a Bun-native runtime and built-in web interface. Overall, TinyClaw aims to democratize autonomous AI agents by delivering a lightweight, extensible, and personality-driven companion platform that evolves with the user over time. -
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Agentex
Open source codebase for Scale Agentex
AgentEX is an open framework from Scale for building, running, and evaluating agentic workflows, with an emphasis on reproducibility and measurable outcomes rather than ad-hoc demos. It treats an “agent” as a composition of a policy (the LLM), tools, memory, and an execution runtime so you can test the whole loop, not just prompting. The repo focuses on structured experiments: standardized tasks, canonical tool interfaces, and logs that make it possible to compare models, prompts, and tool sets fairly. It also includes evaluation harnesses that capture success criteria and partial credit, plus traces you can inspect to understand where reasoning or tool use failed. ... -
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PyGPT
Open source personal AI Assistant for Linux, Windows and Mac
...PyGPT also adds access to the Internet for GPT via Google Custom Search API and Wikipedia API and includes voice synthesis using Microsoft Azure Text-to-Speech API. Moreover, the application has implemented context memory support, context storage, history of contexts, which can be restored at any time and e.g. continue the conversation from point in history, and also has a convenient and intuitive system of presets that allows you to quickly and pleasantly create and manage your prompts. Plugins support is also available. -
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libvips
A fast image processing library with low memory needs
libvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+. It has around 300 operations covering arithmetic, histograms, convolution, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric types, from 8-bit int to 128-bit complex. Images can have any number of bands. It supports a good range of image formats, including JPEG, JPEG2000, JPEG-XL, TIFF, PNG, WebP, HEIC, AVIF, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM / PGM / PFM, CSV, GIF, Analyze, NIfTI, DeepZoom, and OpenSlide. ... -
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node-addon-api
Module for using Node-API from C++
node-addon-api is a C++ wrapper module that simplifies the creation of Node.js native addons using the Node-API, promoting ABI stability across different Node.js versions. -
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Glances
An eye on your system
Glances is an open source, cross-platform monitoring tool that aims to provide a significant amount of monitoring information through a curses or Web-based interface. Depending on the size of the user interface, this information can then dynamically adapt. Glances can work in client/server mode, and is also capable of remote monitoring. All systems statistics can be exported to files or external time/value databases. Glances gets information from your system through various libraries,... -
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td
Telegram client, in Go. (MTProto API)
Telegram MTProto API client in Go for users and bots. -
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QM
Multiplayer agent harness for work
QM is an open-source multiplayer agent harness designed for startup teams and company-wide AI work. Each person, channel, and project receives its own scoped memory, files, credentials, permissions, schedules, web apps, and durable sandbox. The same agent identity and configuration can operate through Slack or the web interface. Teams can choose among supported models and harnesses, including Pi, OpenCode, Codex, and Claude Code, without binding the deployment to one vendor. Administrators control organization settings, available models, shared skills, and security posture. ...