Search Results for "memory" - Page 8
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Showing 2496 open source projects for "memory"
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retro-go
Retro emulation for the ODROID-GO and other ESP32 devices
retro-go is a lightweight, embedded-focused emulator frontend and launcher designed specifically for microcontroller-based handheld devices, particularly those built on ESP32 hardware. It integrates multiple classic console emulators into a single unified interface, enabling portable retro gaming on low-power devices with limited memory and processing capabilities. The project emphasizes efficiency and optimization, adapting emulation cores to run within the strict constraints of embedded systems. It includes a simple user interface for browsing ROMs, launching games, and managing system settings directly on the device. retro-go supports several classic platforms such as NES, Game Boy, and other early consoles, depending on available builds and hardware capabilities. ... -
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Nuke
Image loading system
...Nuke has an automated test suite 2x the size of the codebase itself, ensuring excellent reliability. Every feature is carefully designed and optimized for performance. Fast LRU memory cache, native HTTP disk cache, and custom aggressive LRU disk cache. Customize image pipeline using built-in Alamofire, Gifu, FLAnimatedImage, WebP plugins or create your own. Enable progressive decoding with a single line of code. Nuke supports progressive JPEG out of the box, and WebP via a plugin built by the community. Automatically prefetch images ahead of time using either Preheat or native table and collection view prefetching APIs. -
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os-tutorial
How to create an OS from scratch
os-tutorial is an open source educational project by cfenollosa that teaches the basics of building an operating system from scratch. The repository provides step-by-step lessons starting with bootloaders and moving through kernel development, interrupts, memory management, and system calls. Each tutorial is accompanied by clear explanations, code examples, and references to deepen understanding. The project uses x86 assembly and C to illustrate concepts, making it accessible to students and hobbyists interested in low-level programming. By compiling and running the examples with tools like QEMU, learners gain hands-on experience with OS fundamentals. ... -
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HTTP Client
Async HTTP/1.1+2 client for PHP based on Amp
...Its API simplifies standards-compliant HTTP resource traversal and RESTful web service consumption without obscuring the underlying protocol. The library manually implements HTTP over TCP sockets; as such it has no dependency on ext/curl. Streams entity bodies for memory management with large transfers. Supports all standard and custom HTTP method verbs. Simplifies HTTP form submissions. Implements secure-by-default TLS. Supports cookies and sessions. Functions seamlessly behind HTTP proxies. Additionally, you might want to install the nghttp2 library to take advantage of FFI to speed up and reduce the memory usage on PHP 7.4. ... -
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Build Your Own OpenClaw
A step-by-step guide to build your own AI agent
Build Your Own OpenClaw is a step-by-step educational framework that teaches developers how to construct a fully functional AI agent system from scratch, gradually evolving from a simple chat loop into a multi-agent, production-ready architecture. The project is structured into 18 progressive stages, each introducing a new concept such as tool usage, memory persistence, event-driven design, and multi-agent coordination, with each step including both explanatory documentation and runnable code. It begins with foundational concepts like conversational loops and tool integration, then expands into more advanced capabilities such as dynamic skill loading, web interaction, and context management. ... -
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Perfetto
Production-grade client-side tracing, profiling, and analysis
Perfetto is a production-grade tracing platform for Android, Linux, and Chrome that captures extremely detailed information about what a system is doing over time. It’s designed around a low-overhead producer/consumer model: instrumented components (“producers”) write binary events into shared memory buffers and a collector (“service”) reliably streams them to storage. The data model spans kernel and userspace, so you can stitch together CPU scheduling, app lifecycles, binder/IPC hops, GPU work, power and thermal signals, file I/O, heap samples, and more into a single coherent timeline. Perfetto’s ecosystem includes a web-based UI that can load multi-GB traces directly in the browser and an offline “trace processor” that exposes the trace as a queryable SQL-like table schema for deep analysis and automation. ... -
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OpenAI CS Agents Demo
Demo of a customer service use case implemented with the OpenAI Agents
...It also demonstrates guardrails to validate or constrain responses, memory usage to maintain context, and tracing to help debugging of workflows. -
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napi-rs
A framework for building compiled Node.js add-ons in Rust via Node-API
NAPI-RS is a framework for building native Node.js modules using the Rust programming language, offering a safe and efficient way to write performance-critical code. -
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Transformer Engine
A library for accelerating Transformer models on NVIDIA GPUs
...As the number of parameters in Transformer models continues to grow, training and inference for architectures such as BERT, GPT, and T5 become very memory and compute-intensive. Most deep learning frameworks train with FP32 by default. This is not essential, however, to achieve full accuracy for many deep learning models. -
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Fast Android Networking
A Complete Fast Android Networking Library that also supports HTTP/2
...No other library provides a simple interface for doing all types of things in networking like setting priority, canceling, etc. As it uses Okio , No more GC overhead in android applications. Okio is made to handle GC overhead while allocating memory. Okio does some clever things to save CPU and memory. -
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MiMoCode
Where Models and Agents Co-Evolve
...The tool includes multiple agent modes, including a build mode for development, a plan mode for read-only analysis, and a compose mode for structured workflows. Its persistent memory system stores project notes, checkpoints, scratch notes, and task progress so the assistant can resume work with context. It also supports subagents, goal checking, voice input, MCP connections, and custom provider configuration. MiMo-Code is useful for developers who want an autonomous coding assistant that combines terminal workflows, long-running task management, and project-aware memory. -
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OpenSquilla
Token-Efficient AI Agent with same budget, higher intelligence density
OpenSquilla is a token-efficient microkernel AI agent runtime designed for CLI, web UI, and chat-based workflows. It routes each turn through a shared loop that can select lower-cost models when appropriate while preserving tool dispatch, retries, memory, and decision logging. The project supports multiple LLM providers through a pluggable provider layer, making it adaptable to different model ecosystems. It includes persistent memory, built-in web search, on-device embeddings, and sandboxing for safer execution. OpenSquilla is designed for users who want stronger agent capabilities without wasting tokens on every interaction. ... -
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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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Reflexion
Reflexion: Language Agents with Verbal Reinforcement Learning
...Instead of relying solely on a single-pass response, Reflexion enables agents to evaluate their own outputs, identify errors, and refine their reasoning over multiple iterations, leading to more accurate and reliable results. The framework introduces a mechanism where agents maintain a memory of past attempts and use that memory to guide future decisions, effectively simulating a learning process without requiring traditional model retraining. This approach is particularly useful for complex reasoning tasks, coding challenges, and decision-making scenarios where initial outputs may be incomplete or incorrect. Reflexion also emphasizes transparency by making intermediate reasoning steps explicit, allowing developers to inspect how conclusions are reached and where improvements occur. -
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DebugSwift
A toolkit to make debugging iOS applications easier
...Designed to operate within the iOS environment (iOS 14+ and Swift 6+), it includes network and WebSocket inspectors for HTTP requests, detailed performance metrics (CPU, memory, FPS), and mechanisms to detect memory leaks and main thread violations in real time. The toolkit also provides developers with crash analysis features, console log monitoring, device and build information displays, and customizable debugging panels, all of which make it easier to troubleshoot edge cases and unexpected behavior. ... -
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Claude Cognitive
Persistent context and multi-instance coordination
Claude Cognitive is an advanced memory and context-management extension designed to address the stateless limitations of Claude Code by giving the model a form of persistent “working memory” and multi-instance coordination. It introduces an attention-based context router that prioritizes files and content relevant to the current development discussion — tagging them as HOT, WARM, or COLD based on recency and keyword activation — so Claude Code doesn’t waste token budget rereading irrelevant code. ... -
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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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PGlite
Lightweight WASM Postgres with real-time, reactive bindings
PGlite is a lightweight, WebAssembly (WASM) build of Postgres designed to run directly in JavaScript environments such as browsers, Node.js, Bun, and Deno, without the need for additional dependencies. It allows developers to run Postgres in-memory or with persistence to IndexedDB or local file systems, offering a simple yet powerful solution for local-first, real-time applications. At under 3MB gzipped, PGlite is optimized for efficiency and includes dynamic extension loading, support for pgvector, and real-time sync capabilities with ElectricSQL. It's ideal for building reactive apps with live queries and syncing data between a cloud Postgres instance and a local PGlite database. -
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StringZilla
10x faster string search, split, sort, and shuffle for long strings
...The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File memory-maps a file from persistent memory without loading its copy into RAM. The contents of that file would remain immutable, and the mapping can be shared by multiple Python processes simultaneously. A standard dataset pre-processing use case would be to map a sizeable textual dataset like Common Crawl into memory, spawn child processes, and split the job between them. -
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Nebulex
In-memory and distributed caching toolkit for Elixir
Nebulex provides support for transparently adding caching into an existing Elixir application. Similar to Ecto, the caching abstraction allows consistent use of various caching solutions with minimal impact on the code. Nebulex cache abstraction shields developers from directly dealing with the underlying caching implementations, such as Redis, Memcached, or even other Elixir cache implementations like Cachex. Additionally, it provides totally out-of-box features such as cache usage... -
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Eclipse Collections
Eclipse Collections is a collections framework for Java
...Many container types include immutable collections, primitive collections, bimaps, multimaps and bags. You can make use of various container types, leveraging handy factory methods for instantiation. Eclipse Collections provides a memory-efficient implementation of Sets and Maps as well as primitive collections. Check out the Eclipse Collections Kata, a fun way to help you learn idiomatic Eclipse Collections usage. This particular kata is set up as a series of unit tests that fail. Your task is to make them pass, using Eclipse Collections. -
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FastHTTP
Fast HTTP package for Go
FastHTTP is the fastest and reliable HTTP implementation for Go. FastHTTP is tuned for high performance, with zero memory allocations in hot paths. In benchmarks, both FastHTTP server and client have shown to be up to 10 times faster than those of net/http. However, FastHTTP does not provide an API identical to net/http, but it is better to write FastHTTP request handlers by hand so as to make use of all its advantages. One of its key advantages is that unlike net/http it does not limit many optimization opportunities, such as reusing existing objects per request and avoiding unnecessary memory allocations. -
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ECC
The agent harness performance optimization system
ECC is an agent harness performance optimization system for AI coding tools such as Claude Code, Codex, Opencode, and similar environments. It packages rules, skills, instincts, memory behavior, security practices, and research-first development patterns into a structured framework. The project is designed to make coding agents more reliable by improving how they plan, inspect context, make changes, review work, and avoid unnecessary mistakes. ECC includes installation guidance and language-specific rule folders for applying the system across different development setups. ... -
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Team9
Team9 is a collaborative workspace for AI agents
...It builds on agent frameworks like OpenClaw and introduces a managed environment where agents can be assigned roles, share context, and execute tasks collaboratively. The system emphasizes a “local-first” architecture, allowing agents to run on user-controlled infrastructure while maintaining persistent memory and data privacy. It includes orchestration mechanisms that allow agents to operate continuously through scheduled tasks, event-driven triggers, and long-running processes. The platform also integrates messaging gateways and communication channels, enabling agents to interact with users and systems in real time. Its design reflects a shift toward treating AI agents as operational units within organizations rather than isolated tools. -
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Pumpkin
Empowering everyone to host fast and efficient Minecraft servers
Pumpkin is an open-source Minecraft server implementation written entirely in the Rust programming language with the goal of delivering high performance, efficiency, and modern architecture for hosting multiplayer worlds. Unlike the original Java-based server, Pumpkin focuses on leveraging Rust’s memory safety and performance advantages to create a fast and stable server environment. The project aims to replicate the core mechanics and gameplay of Minecraft while providing a flexible foundation for customization and optimization. Its architecture emphasizes efficient networking, resource management, and scalability, allowing servers to handle more players with reduced system overhead. ...
