Search Results for "memory" - Page 10
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Showing 3192 open source projects for "memory"
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Learn Harness Engineering
Harness engineering official style beginner tutorial
Learn Harness Engineering is an educational repository focused on teaching the principles behind building robust AI agent systems through harness design. It introduces the concept of harness engineering, which involves structuring how agents manage memory, context, and execution rather than relying solely on prompts. The project provides examples, explanations, and patterns for designing reliable, controllable, and scalable agent workflows. It emphasizes modular architecture, reproducibility, and observability in agent systems. By framing agents as systems rather than isolated models, it helps developers build production-ready AI applications. ... -
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Stable Diffusion Version 2
High-Resolution Image Synthesis with Latent Diffusion Models
...The repository provides code for training and running Stable Diffusion-style models, instructions for installing dependencies (with notes about performance libraries like xformers), and guidance on hardware/driver requirements for efficient GPU inference and training. It’s organized as a practical, developer-focused toolkit: model code, scripts for inference, and examples for using memory-efficient attention and related optimizations are included so researchers and engineers can run or adapt the model for their own projects. The project sits within a larger ecosystem of Stability AI repositories (including inference-only reference implementations like SD3.5 and web UI projects) and the README points users toward compatible components, recommended CUDA/PyTorch versions. -
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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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Resources
Keep an eye on system resources
...It provides a clean graphical interface for viewing hardware usage, running applications, and system processes. The application is written in Rust and uses GTK 4 with libadwaita, which gives it a native feel on GNOME-style desktops. It can display details for CPU, memory, GPUs, NPUs, network interfaces, storage devices, and batteries. It also allows users to inspect and terminate running applications or processes when needed. Its main value is offering a friendly, polished alternative to traditional system monitors while still showing enough detail for everyday diagnostics. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Memvid
Video-based AI memory library. Store millions of text chunks in MP4
Memvid encodes text chunks as QR codes within MP4 frames to build a portable “video memory” for AI systems. This innovative approach uses standard video containers and offers millisecond-level semantic search across large corpora with dramatically less storage than vector DBs. It's self-contained—no DB needed—and supports features like PDF indexing, chat integration, and cloud dashboards. -
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Dagger.jl
A framework for out-of-core and parallel execution
Dagger.jl is a framework for out-of-core and parallel computing in Julia that allows users to construct and execute dynamic task graphs. It is designed for large-scale, distributed, and memory-efficient computations. Dagger supports lazy evaluation and scheduling across multiple threads or machines, enabling high-performance workflows for data processing, scientific computing, and machine learning. -
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Carp
A functional, systems programming language with linear types
Carp is a statically typed, functional programming language designed for real-time and systems programming. It features a Lisp-like syntax, strong compile-time checks, and linear type semantics that ensure memory safety without a garbage collector. Carp targets C as its backend, generating performant and predictable native code while offering functional abstractions and interactive development via REPL. -
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Webgrind
Xdebug Profiling Web Frontend in PHP
Webgrind is an Xdebug profiling web frontend for PHP, offering a lightweight and easy-to-use interface to visualize profiling data. It helps developers identify performance bottlenecks in their applications by displaying function call statistics, memory usage, and execution time. Webgrind is ideal for performance analysis and optimization of PHP code, providing insights into code efficiency. -
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EfficientDynamoDb
High-performance C# DynamoDb library
EfficientDynamoDb is a high-performance, low-level DynamoDB client for .NET, designed to offer better efficiency and flexibility compared to AWS's official SDK. It provides improved memory management, reduced allocations, and a fluent API for seamless integration with DynamoDB services. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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Laravel Octane
Supercharge your Laravel application's performance
Laravel Octane supercharges your application's performance by serving your application using high-powered application servers, including FrankenPHP, Open Swoole, Swoole, and RoadRunner. Octane boots your application once, keeps it in memory, and then feeds it requests at supersonic speeds. -
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lua-resty-http
Lua HTTP client cosocket driver for OpenResty / ngx_lua
Lua HTTP client cosocket driver for OpenResty / ngx_lua. HTTP 1.0 and 1.1 SSL. Streaming interface to the response body, for predictable memory usage. Alternative simple interface for single-shot requests without a manual connection step. Chunked and non-chunked transfer encodings. Connection keepalives. Request pipelining. Trailers, HTTP proxy connections, and mTLS. -
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Symfony VarExporter
Allows exporting any serializable PHP data structure to plain PHP code
Symfony VarExporter is a component that provides fast and safe serialization of PHP objects, especially those involving closures, services, or references. Unlike traditional serialize() or var_export(), VarExporter produces PHP code that can be re-evaluated safely and efficiently, which is useful in caching, dependency injection, and configuration scenarios. -
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PgBouncer
lightweight connection pooler for PostgreSQL
PgBouncer is a lightweight, high-performance connection pooler for PostgreSQL. It reduces the overhead of frequent connection handling by maintaining a pool of open connections, which are reused by client applications. PgBouncer supports various pooling modes, transaction-level handling, and authentication mechanisms, making it essential for scaling Postgres-backed applications. -
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AI Agent Book
Deep Understanding AI Agents
AI Agent Book is an open educational repository for Understanding AI Agents: Design Principles and Engineering Practice. It explains agents through the formula of a language model combined with context and tools. Ten chapters move from core concepts to context engineering, memory, RAG, knowledge graphs, MCP tools, and coding agents. Later material covers evaluation, supervised fine-tuning, reinforcement learning, self-improvement, multimodal interaction, robotics, and multi-agent cooperation. The repository includes 88 companion experiments, with more than 70 designed to run independently. Readers can access the source chapters, generated figures, code, and downloadable PDF or EPUB editions. ... -
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Colibrì
Run GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine
Colibri is a compact inference engine designed to run the 744-billion-parameter GLM-5.2 mixture-of-experts model on consumer hardware. It keeps the dense portion of the quantized model in memory while streaming routed experts from a large disk-based store as they are needed. The runtime is implemented in pure C, requires no Python or BLAS during inference, and can operate without a GPU. Compressed attention caches, expert caching, optional hot tiers, and speculative decoding reduce memory pressure and improve repeated use. ... -
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ORG-2
Open-source Cursor-style agent IDE
...It presents AI agents as persistent, observable collaborators inside a structured software organization rather than as isolated coding assistants. The project focuses on reviewability, control, replayable execution, cross-session memory, and shared workspace state. It supports local-first execution and is designed to stay lightweight on disk. ORG2 includes GUI, CLI, terminal, Git, browser, LSP, timeline, and database tooling for coordinating development activity. Overall, it is an experimental environment for teams and builders who want AI coding agents to be easier to audit, schedule, supervise, and align with human goals. -
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OpenSage
An agent framework that enables AI to create their own agent
...Unlike traditional agent frameworks that require developers to manually define workflows, tools, and structures, OpenSage introduces a system where large language models can dynamically generate their own agent architectures, including sub-agents, toolchains, and execution strategies. The framework is built around the concept of an Agent Development Kit (ADK), providing structured components for memory, reasoning, and task decomposition while allowing agents to iteratively improve their own design. A key innovation is its hierarchical and graph-based memory system, which enables agents to store, retrieve, and organize information across complex workflows with improved efficiency and contextual awareness. -
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KVCache-Factory
Unified KV Cache Compression Methods for Auto-Regressive Models
...In large language models, the key-value cache stores intermediate attention states that enable efficient token generation during inference, but these caches can consume large amounts of GPU memory when handling long contexts. KVCache-Factory provides a platform for implementing and evaluating multiple compression strategies that reduce memory usage while preserving model performance. The framework integrates several state-of-the-art methods such as PyramidKV, SnapKV, H2O, and StreamingLLM, allowing researchers to compare and experiment with different approaches within the same environment. ... -
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PowerInfer
High-speed Large Language Model Serving for Local Deployment
...Its architecture exploits the observation that only a subset of neurons in large models are frequently activated, allowing the system to preload frequently used neurons into GPU memory while processing less common activations on the CPU. This hybrid execution strategy significantly reduces memory bottlenecks and improves overall inference speed. PowerInfer incorporates specialized algorithms and sparse operators to manage neuron activation patterns and minimize data transfers between hardware components. As a result, it enables powerful language models to run on consumer hardware while achieving performance comparable to more expensive server-grade systems. -
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psutil
Cross-platform lib for process and system monitoring in Python
psutil is a widely adopted cross-platform Python library designed to retrieve detailed information about system utilization and running processes in a consistent and programmatic way. It exposes a rich API that allows developers to inspect CPU usage, memory consumption, disk activity, network statistics, and hardware sensors without relying on platform-specific tools. The library effectively replicates and unifies the capabilities of classic UNIX utilities such as ps, top, netstat, and free, making it especially valuable for monitoring, profiling, and process management workflows. Because it supports multiple operating systems including Linux, Windows, macOS, and BSD variants, psutil enables developers to build portable observability tools and automation scripts. ... -
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bitnet.cpp
Official inference framework for 1-bit LLMs
bitnet.cpp is the official open-source inference framework and ecosystem designed to enable ultra-efficient execution of 1-bit large language models (LLMs), which quantize most model parameters to ternary values (-1, 0, +1) while maintaining competitive performance with full-precision counterparts. At its core is bitnet.cpp, a highly optimized C++ backend that supports fast, low-memory inference on both CPUs and GPUs, enabling models such as BitNet b1.58 to run without requiring enormous compute infrastructure. The project’s focus on extreme quantization dramatically reduces memory footprint and energy consumption compared with traditional 16-bit or 32-bit LLMs, making it practical to deploy advanced language understanding and generation models on everyday machines. ... -
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zpdf
Zero-copy PDF text extraction library written in Zig
zpdf is a high-performance PDF text extraction library written in Zig that focuses on speed, low overhead, and modern parsing techniques. It leans heavily on memory-mapped file reading and zero-copy patterns where possible, so it can scan large PDFs without repeatedly copying data around in memory. The library supports streaming extraction using efficient arena allocation, making it well suited for workloads that need to process big documents quickly or in batches. It implements multiple PDF decompression filters and handles common font encoding pathways, which are essential for turning raw PDF content streams into readable text. ... -
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fnm
Fast and simple Node.js version manager, built in Rust
fnm (Fast Node Manager) is a blazing-fast, minimalist Node.js version manager written in Rust. It allows users to install and switch between Node.js versions with near-instant startup, supports .nvmrc and .node-version files, and offers easy cross-platform installation. It’s significantly faster than traditional bash-based managers. -
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Lucky
A full-featured Crystal web framework that catches bugs for you
Lucky is a web framework written in Crystal. It helps you work quickly, catch bugs at compile time, and deliver blazing-fast responses. Lucky is extremely fast and uses very little memory. You and your users will love the extra dose of speed. Authentication, asset management, CORS, database ORM, and more can all be included when creating a new Lucky project. Instead of finding bugs in QA or in production, Lucky is designed to catch as many bugs as possible at compile time. Lucky uses Action classes for handling HTTP requests and responses. ... -
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ants
ants is a high-performance and low-cost goroutine pool in Go
...Abundant APIs: submitting tasks, getting the number of running goroutines, tuning capacity of pool dynamically, releasing pool, rebooting pool. Handle panic gracefully to prevent programs from crash. Efficient in memory usage and it even achieves higher performance than unlimited goroutines in Golang. Nonblocking mechanism. Just take a imagination that your program starts a massive number of goroutines, resulting in a huge consumption of memory. To mitigate that kind of situation, all you need to do is to import ants package and submit all your tasks to a default pool with fixed capacity, activated when package ants is imported.