Search Results for "memory management"
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Showing 560 open source projects for "memory management"
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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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TaskExplorer
Powerful system task manager
TaskExplorer is a powerful system task-manager / process-inspector tool designed for Windows that goes well beyond the capabilities of the built-in Task Manager. It provides real-time insights into running processes, threads, open handles, network sockets, memory usage, modules loaded, and more — all in a unified, fast, and efficient GUI. Rather than scattering information across tabs or dialogs, TaskExplorer displays detailed data in a panel layout: when you select a process, the lower... -
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MemoryOS
MemoryOS is designed to provide a memory operating system
MemoryOS is an open-source framework designed to provide a structured memory management system for AI agents and large language model applications. The project addresses one of the major limitations of modern language models: their inability to maintain long-term context beyond the limits of their prompt window. MemoryOS introduces a hierarchical memory architecture inspired by operating system memory management principles, allowing agents to store, update, retrieve, and generate information from multiple layers of memory. -
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Hermes Desktop
Desktop Companion for Hermes Agent
...It provides an intuitive graphical interface that eliminates the need to manage Hermes through command-line tools. Users can connect to local or remote Hermes instances while accessing chat, memory management, skills, tools, profiles, and scheduling from a single workspace. The platform supports multiple AI providers, including OpenAI, Anthropic, Google Gemini, Grok, OpenRouter, and local model endpoints. Its real-time streaming chat interface includes markdown rendering, syntax highlighting, tool progress tracking, and token usage monitoring. ... -
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beszel
Lightweight server monitoring hub with historical data, docker stats
A lightweight server resource monitoring hub with historical data, docker stats, and alerts. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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OnlineStats.jl
Single-pass algorithms for statistics
OnlineStats does statistics and data visualization for big/streaming data via online algorithms. High-performance single-pass algorithms for statistics and data viz. Updated one observation at a time. Algorithms use O(1) memory. Algorithms use O(1) memory. -
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Coverage.jl
Take Julia code coverage and memory allocation results, do useful thin
Julia can track how many times, if any, each line of your code is run. This is useful for measuring how much of your code base your tests actually test, and can reveal the parts of your code that are not tested and might be hiding a bug. You can use Coverage.jl to summarize the results of this tracking or to send them to a service like Coveralls.io or Codecov.io. Julia can track how much memory is allocated by each line of your code. This can reveal problems like type instability, or... -
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ReMe
Memory Management Kit for Agents
ReMe is a memory management kit for AI agents that gives them structured, persistent memory capabilities, enabling agents to extract, store, and reuse information across sessions, tasks, and interactions. It is designed to support long-running agent workflows where context matters and working memory alone isn’t enough, helping agents remember user preferences, task histories, and relevant past observations. -
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vLLM
A high-throughput and memory-efficient inference and serving engine
vLLM is a fast and easy-to-use library for LLM inference and serving. High-throughput serving with various decoding algorithms, including parallel sampling, beam search, and more. -
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OpenMemory
Local long-term memory engine for AI apps with persistent storage
OpenMemory is a self-hosted memory engine designed to provide long-term, persistent storage for AI and LLM-powered applications. It enables developers to give otherwise stateless models a structured memory layer that can store, retrieve, and manage contextual information over time. OpenMemory is built around a hierarchical memory architecture that organizes data into semantic sectors and connects them through a graph-based structure for efficient retrieval. It supports multiple embedding... -
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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SynaBun
Persistent vector memory for AI assistants
Synabun is an open-source AI memory management and augmentation system designed to provide persistent, semantic memory for AI agents and coding assistants, particularly those compatible with the MCP (Model Context Protocol) ecosystem. It functions as a local-first solution that stores and retrieves contextual knowledge across sessions using a built-in vector database powered by embeddings, eliminating the need for external APIs, cloud services, or Docker dependencies. ... -
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SQLite JDBC Driver
SQLite JDBC Driver
...The usage is quite simple; download our sqlite-jdbc library, then append the library (JAR file) to your classpath. SQLite JDBC is a library for accessing SQLite databases through the JDBC API. SQLite supports on-memory database management, which does not create any database files. To use a memory database in your Java code, get the database connection. sqlite-jdbc extracts a native library for your OS to the directory specified by java.io.tmpdir JVM property. To use another directory, set org.sqlite.tmpdir JVM property to your favorite path. -
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GridDB
GridDB is a next-generation open source database
...Multi-model architecture capable of supporting various data stores with time-series data-oriented and pluggable data stores for efficient real-time processing and management of huge amounts of time-series data at high frequency. Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications. -
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Lossless Claw
LCM (Lossless Context Management) plugin for OpenClaw
Lossless Claw is an advanced context management plugin for the OpenClaw agent ecosystem that redefines how conversational memory is handled in large language model systems. Instead of relying on traditional sliding-window truncation or lossy summarization, it introduces a lossless architecture that preserves all historical messages while maintaining usable context within token limits. -
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DataFrames.jl
In-memory tabular data in Julia
DataFrames.jl is a powerful Julia package for working with in-memory tabular data. It provides a familiar, flexible, and efficient interface for handling datasets, making it easy to load, manipulate, join, and analyze structured data. With syntax inspired by data frames in R and pandas in Python, it offers intuitive tools while taking advantage of Julia’s speed and type system. The package is actively maintained by the JuliaData community, with contributions from over 200 developers... -
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Citron Neo
Research software designed to orchestrate virtual environments
Citron Neo is an advanced emulator project focused on replicating complex system environments with high performance and flexibility. It is designed to emulate modern console behavior while integrating improvements in CPU emulation, GPU rendering, and memory management. The project incorporates optimizations such as dynamic recompilation and Vulkan-based rendering to enhance performance across supported platforms. It also includes continuous updates that improve compatibility with games and system firmware, reflecting an active development cycle. Citron aims to provide a refined user experience through UI enhancements, faster loading times, and better resource handling. ... -
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MiMo Code
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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Moss
Rust Linux-compatible kernel
Moss Kernel is an open-source operating system kernel project designed to explore modern OS design and provide a foundation for experimental system research and development. Rather than replicating traditional monolithic kernels exactly, it emphasizes modularity, safety, and simplicity by incorporating well-structured subsystems for memory management, scheduling, and device abstraction that are easy for contributors to understand and extend. The kernel uses Rust as its primary implementation language, which gives it strong memory safety guarantees and helps reduce common classes of bugs like data races and buffer overflows without sacrificing performance. It aims to serve as both a learning tool for systems programming students and a testbed for advanced research in kernel architecture, enabling experimentation with new ideas in process isolation, resource management, and driver models. -
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Claude-Flow
The leading agent orchestration platform for Claude
...The platform supports both quick swarm tasks and persistent multi-agent sessions known as hives, facilitating distributed AI collaboration with persistent contextual memory. At its core, Claude-Flow integrates Dynamic Agent Architecture (DAA) for self-organizing agent management, neural pattern recognition accelerated by WebAssembly SIMD, and a SQLite-based memory system for context retention and knowledge persistence across tasks. It automates development workflows via pre- and post-operation hooks, providing seamless coordination, code formatting, validation, and performance optimization. -
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Fastpotify
Spotify, native and fast. One lightweight Rust app for your library
Fastpotify is a lightweight native Spotify client written in Rust with egui and librespot. It runs on Linux, macOS, and Windows without a browser engine and is designed for fast startup and low memory use. Premium users can play music locally with gapless playback, high-quality audio, normalization, and caching, while free users can still browse and search. The app can also control Spotify Connect devices and discover compatible receivers on the local network. It provides library browsing, search, recommendations, artist and album pages, playlist editing, queue management, and session resume. ... -
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Nightingale OS
A small operating system where I experiment and learn osdev
nightingale is a modern hobby operating system developed in Rust, focusing on safety, simplicity, and minimalism. It aims to be a clean platform for experimentation and learning, implementing a small kernel with core features like multitasking, memory protection, and a minimal filesystem. Its use of Rust provides strong guarantees around memory safety and eliminates common bugs found in low-level C-based systems. nightingale is ideal for those seeking to study OS development using a modern... -
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BricksLLM
Enterprise-grade API gateway that helps you monitor and impose cost
BricksLLM is an open-source framework for building and managing production-ready LLM (Large Language Model) applications. It provides tooling for prompt engineering, memory management, observability, and chaining, all in one unified developer experience. BricksLLM is designed to reduce boilerplate and increase the maintainability of LLM-based workflows. -
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Zenith
Sort of like top or htop but with zoom-able charts, CPU, GPU
In terminal graphical metrics for your *nix system written in Rust. The make file provides for building fully static versions on Linux against the musl C library. It requires musl-gcc to be installed on the system. Install "musl-tools" package on debian/ubuntu derivatives, "musl-gcc" on fedora and equivalent on other distributions from their standard repos. If one needs to build with NVIDIA support in a virtual environment, then it requires some more setup since typically the VM software is... -
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Growth Lab
An end-to-end growth tool that understands the product
Growth Lab is an open-source agentic growth workspace that connects product understanding, market research, execution, measurement, and iteration. It uses Codex or Claude Code as the runtime and treats natural-language conversations as the control surface. Collectors gather product, market, content, and channel evidence, while executor skills help create, publish, review, and coordinate growth work. Each growth model follows an observe-act-review loop and keeps persistent memory of evidence,... -
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SimpleMem
SimpleMem: Efficient Lifelong Memory for LLM Agents
...Unlike monolithic systems where memory management is ad-hoc, SimpleMem formalizes a memory lifecycle—write, index, retrieve, refine—so applications can handle user history, document collections, or dynamic contextual state systematically. It supports customizable embedding models, efficient vector indexes, and relevance weighting, making it practical for building assistants, personal agents, or domain-specific retrieval systems that need persistent knowledge. -
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LangChain
⚡ Building applications with LLMs through composability ⚡
Large language models (LLMs) are emerging as a transformative technology, enabling developers to build applications that they previously could not. But using these LLMs in isolation is often not enough to create a truly powerful app - the real power comes when you can combine them with other sources of computation or knowledge. This library is aimed at assisting in the development of those types of applications.
