Search Results for "memory" - Page 15
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Showing 2497 open source projects for "memory"
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Mole
🐹 Deep clean and optimize your Mac.
...It also includes optimization routines that rebuild caches, reset network services, trim swap files, and refresh indexes to keep the system feeling responsive. An interactive disk analyzer view helps you navigate directories with the keyboard to find space hogs, while status commands surface live CPU, memory, disk, and network metrics. -
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NullClaw
Fastest, smallest, and fully autonomous AI assistant infrastructure
...At just 678 KB with ~1 MB peak RAM usage, it boots in under 2 milliseconds and runs on virtually any hardware, including low-cost ARM boards. Despite its size, it delivers a complete AI stack with 22+ model providers, 18+ communication channels, integrated tools, hybrid memory, and sandboxed runtime support. Its architecture is fully modular, using vtable interfaces that allow providers, channels, tools, memory backends, and runtimes to be swapped without code changes. NullClaw is secure by design, enforcing pairing-based authentication, strict sandboxing, encrypted secrets, resource limits, and workspace scoping by default. ... -
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waifu2x ncnn Vulkan
waifu2x converter ncnn version, run fast GPU with vulkan
ncnn implementation of waifu2x converter. Runs fast on Intel/AMD/Nvidia/Apple-Silicon with Vulkan API. waifu2x-ncnn-vulkan uses ncnn project as the universal neural network inference framework. -
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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,... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Defold
Free game engine for development of desktop, mobile, and web games
...Game logic is written in Lua (with optional native extensions in C/C++ when needed), and the engine uses a component-based system and a message-passing paradigm to manage object interactions — a design that promotes loosely-coupled, reactive game code rather than traditional heavy OOP. Defold is optimized for efficiency: exported games tend to have small binary size and low memory use, making it appealing for mobile, HTML5/web, and lightweight games. -
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mactop
Apple Silicon Monitor Top
mactop is a terminal-based monitoring tool designed specifically for Apple Silicon Macs. It displays real-time system metrics such as CPU usage, GPU usage, ANE activity, memory usage, power consumption, temperatures, fan speeds, disk I/O, and network activity. The tool uses native Apple APIs including SMC, IOReport, IOKit, IOHIDEventSystemClient, and Mach Kernel APIs to collect detailed hardware data without requiring sudo for core monitoring. mactop supports Apple Silicon models from M1 through M5, including Pro, Max, and Ultra variants, as well as newer core types like M5 S-Cores. ... -
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KuzuDB
Embeddable property graph database management system
KuzuDB is a high-performance graph database optimized for analytical queries, built from the ground up with a columnar storage engine. It is designed to efficiently process large-scale graph workloads, making it ideal for data science, machine learning, and knowledge graph applications. -
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dashdot
A simple, modern server dashboard
dashdot is a modern server dashboard primarily used by smaller private servers, offering real-time monitoring of system metrics through a sleek and customizable web interface. -
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Olares
Olares: An Open-Source Sovereign Cloud OS for Local AI
Olares is an AI-powered chatbot framework designed to support real-time natural language understanding and response generation. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Laravel Short Schedule
Schedule artisan commands to run at a sub-minute frequency
Schedule artisan commands to run at a sub-minute frequency. If you need to execute something with a higher frequency, for example, every second, then you've come to the right package. Laravel's native scheduler allows you to schedule Artisan commands to run every minute. -
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Pumba
Chaos testing, network emulation, stress testing tool for containers
Pumba is a chaos testing command line tool for Docker containers. Pumba disturbs your containers by crashing containerized applications, emulating network failures and stress-testing container resources (cpu, memory, fs, io, and others). -
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Graylog Ansible Role
Ansible role which installs and configures Graylog
Ansible role which installs and configures Graylog. -
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Koog
Koog is the official Kotlin framework for building AI agents
...Ready‑to‑use components address common AI engineering challenges, while intelligent history compression optimizes token usage and preserves context. A powerful streaming API enables real‑time response processing and parallel tool calls. Persistent memory allows agents to retain knowledge across sessions and between agents, and comprehensive tracing facilities provide detailed debugging and monitoring. -
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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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zlib-ng
zlib replacement with optimizations for "next generation" systems
zlib data compression library for the next-generation systems. Zlib-compatible API with support for dual-linking. Modernized native API based on zlib API for ease of porting. Modern C11 syntax and a clean code layout. Deflate medium and quick algorithms based on Intel’s zlib fork. -
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Alook
The collaboration layer for your AI workforce
...It is designed for developers, solo founders, and teams that want multiple AI agents to handle development, operations, research, and routine work with clearer structure. Alook also emphasizes memory and traceability, so agents can remember past decisions, learn preferences, and keep a record of instructions and replies. Its main value is turning separate AI coding tools into an organized, always-on operating system for agent-based work. -
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Fast JSON
Fast JSON parser and validator for Go
Fast JSON is a high-performance JSON parser and generator written in Go, designed for speed and efficiency in handling large volumes of structured data. It avoids unnecessary memory allocations and reflection, enabling significantly faster parsing compared to standard libraries. The project provides a low-level API that allows developers to work directly with JSON structures without converting them into intermediate representations. Its design prioritizes minimal overhead and maximum throughput, making it suitable for performance-critical applications such as APIs, data pipelines, and real-time systems. fastjson also supports both parsing and serialization, offering flexibility in data handling. ... -
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LangChainGo
LangChain for Go, the easiest way to write LLM-based programs in Go
LangChainGo is a Go-based implementation of the LangChain framework, designed to help developers build applications powered by large language models using the Go programming language. It provides a modular architecture that allows developers to combine components such as language models, chains, agents, memory systems, and vector stores into flexible workflows. The framework emphasizes composability, making it easy to create complex pipelines that integrate LLMs with external data sources, APIs, and tools. It supports multiple providers including OpenAI, Anthropic, Google, and local models, offering a unified interface for interacting with different backends. ... -
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GenericAgent
Self-evolving autonomous agent framework
The GenericAgent project is a flexible framework for building autonomous AI agents that can operate across diverse tasks and environments. It is designed around modularity, allowing developers to define agents with interchangeable components such as tools, memory systems, and reasoning strategies. The architecture emphasizes generality, enabling the same agent framework to be adapted for different domains including coding, research, and task automation. It integrates with modern language models to provide planning, execution, and iterative reasoning capabilities, making it suitable for complex workflows. ... -
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AI Agent Deep Dive
AI Agent Source Code Deep Research Report
AI Agent Deep Dive is a comprehensive educational repository designed to provide a deep and structured understanding of how modern AI agents work, focusing on architecture, workflows, and real-world implementation patterns. It breaks down complex concepts such as planning, tool usage, memory management, and multi-step reasoning into digestible explanations and practical examples. The project is organized as a learning resource rather than a standalone framework, making it particularly useful for developers who want to move beyond surface-level prompt engineering into full agent system design. It explores how agents interact with environments, execute tasks, and maintain context over time, highlighting both strengths and limitations of current approaches. ... -
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OP Vault
Give ChatGPT long-term memory using the OP Stack
OP Vault is an open-source system designed to give large language models long-term memory by enabling them to interact with a custom knowledge base built from user-provided documents. It combines a backend written in Go with a React frontend, allowing users to upload files such as PDFs, text documents, and books to create a searchable repository of information. The system uses vector databases like Pinecone alongside OpenAI models to index and retrieve relevant content, enabling precise question-answering grounded in the uploaded materials. ... -
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Numba CUDA Target
The CUDA target for Numba
...This approach significantly lowers the barrier to entry for GPU programming by eliminating the need to write CUDA C++ while still delivering high performance. The project supports the SIMT programming model, allowing developers to control threads, blocks, and memory hierarchies similarly to native CUDA programming. It is also used as a foundation for accelerating higher-level libraries such as RAPIDS, where custom user-defined GPU functions are required. The repository represents the continuation of CUDA support after its deprecation in core Numba, ensuring ongoing development and optimization under NVIDIA’s ecosystem. -
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TypeAgent Python
Structured RAG: ingest, index, query
...The repository is intended primarily as a research prototype and sample code rather than a production-ready framework, allowing developers to experiment with building AI agents that maintain structured memory and perform tasks through defined actions. -
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Kodezi Chronos
Kodezi Chronos is a debugging-first language model
...The project introduces architectural techniques such as Adaptive Graph-Guided Retrieval, which allows the system to navigate large repositories and retrieve relevant debugging information from multiple sources. Another component, Persistent Debug Memory, allows the system to learn patterns from past debugging sessions and apply that knowledge to future problems. The repository mainly contains research documentation, evaluation benchmarks, and experimental frameworks rather than the full proprietary model implementation. -
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LLM-Finetuning
LLM Finetuning with peft
...These tutorials show how developers can adapt pretrained models for tasks such as chatbots, classification, and instruction following. The project also illustrates how low-precision training techniques and adapter-based methods reduce memory requirements while maintaining strong model performance.
