Search Results for "memory"
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Showing 4098 open source projects for "memory"
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Basic Memory
Persistent AI memory using local Markdown knowledge graphs
Basic Memory creates a semantic knowledge graph by linking related ideas, making it easier to retrieve, expand, and connect information over time. With a local-first design, your data stays private and portable, while optional cloud sync enables cross-device access. It combines simplicity with powerful indexing and search, giving you a flexible way to build long-term memory for projects, research, and workflows. -
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Kernel Memory
Research project. A Memory solution for users, teams, and applications
Kernel Memory is an open-source reference architecture developed by Microsoft to help developers build memory systems for AI applications powered by large language models. The project focuses on enabling applications to store, index, and retrieve information so that AI systems can incorporate external knowledge when generating responses. It supports scenarios such as document ingestion, semantic search, and retrieval-augmented generation, allowing language models to answer questions using contextual information from private or enterprise datasets. ... -
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Windows Memory Cleaner (WMC)
Free RAM cleaner uses native Windows features to optimize memory areas
Windows Memory Cleaner (aka WMC or WinMemoryCleaner) is a lightweight, portable Windows utility designed to optimize system memory using native Windows API functions. It provides a transparent and user-friendly interface for freeing up RAM that is often held unnecessarily by cached data or inefficient processes. Unlike many “RAM booster” tools, it relies entirely on documented system methods rather than hidden tricks or unsafe optimizations. -
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MongoDB In-Memory Server
Manage & spin up mongodb server binaries with zero(or slight)
Manage & spin up mongodb server binaries with zero(or slight) configuration for tests. MongoDB-memory-server was built with "easy-to-use" in mind and is in most common systems zero-configuration. (except setting a custom mongodb version). MongoDB-memory-server supports all systems there are mongodb binaries are for, including some unofficial environments where some other binary works. mongodb-memory-server can be quickly used with single mongodb instances or spin up a entire replicaset. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Memtest86+
Stand-alone memory tester for x86 and x86-64 architecture computers
Memtest86+ is a free, open-source, stand-alone memory diagnostic tool designed to thoroughly test system RAM beyond standard BIOS checks. It runs independently of any operating system, allowing it to access nearly all available memory without software or UEFI library limitations. Supporting x86, x86-64, and LoongArch64 architectures, Memtest86+ works on a wide range of modern and legacy hardware platforms. -
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Pinyin
A high-quality solution for converting Chinese to Pinyin
The Chinese to Pinyin tool based on the CC-CEDICT dictionary, more accurately supports the solution of Chinese characters to Pinyin for polyphonic characters. Memory type, suitable for servers with more memory space, advantages, fast conversion. Small memory type (default), suitable for environments with tight memory, advantages, small memory footprint, conversion is not as fast as memory type. I/O type, suitable for virtual machines with strict memory restrictions. Advantages: very minimal memory consumption. ... -
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MemPalace
The highest-scoring AI memory system ever benchmarked
MemPalace is an open-source AI memory system designed to solve one of the most persistent limitations of large language models: the loss of context between sessions. Instead of relying on summarization or selective extraction like most memory tools, it takes a radically different approach by storing conversations in their entirety and making them retrievable through structured organization and semantic search. -
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TaskExplorer
Powerful system task manager
...It includes advanced panels: a Thread Panel with stack traces (helpful for diagnosing deadlocks or hangs), a Memory Panel that lets you view or even edit process memory (with search capabilities), a Socket Panel showing open network connections, data rates, pseudo-UDP connections (via ETW), and a Modules Panel listing all loaded DLLs and memory-mapped files. -
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EverMemOS
Long-term memory OS for AI with structured recall and context awarenes
EverMemOS is an open-source memory operating system built to give AI agents long-term, structured memory. It captures conversations, transforms them into organized memory units, and enables agents to recall past interactions with context and meaning. Instead of treating each prompt independently, it builds evolving user profiles, tracks preferences, and connects related events into coherent narratives. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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whisper.cpp
Port of OpenAI's Whisper model in C/C++
...The command downloads the base.en model converted to custom ggml format and runs the inference on all .wav samples in the folder samples. whisper.cpp supports integer quantization of the Whisper ggml models. Quantized models require less memory and disk space and depending on the hardware can be processed more efficiently. -
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ZenTimings
An app for monitoring memory timings on Ryzen platform
A free, simple, and lightweight app for monitoring memory timings on Ryzen platform. ZenTimings shows you all the important memory timings, voltages, Infinity Fabric, and Memory Controller clocks. No matter the motherboard vendor, the app should help you see what DRAM parameters are applied. -
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MemMachine
Universal memory layer for AI Agents
MemMachine is a universal memory layer designed for AI agents that provides persistent, rich memory storage and retrieval capabilities so autonomous agent systems can recall context, personal preferences, and long-term interaction history across sessions, models, and use cases. Unlike ephemeral LLM prompt state, MemMachine supports distinct memory types—short-term conversational context, long-term persistent knowledge, and profile memory for personalized facts—persisted in optimized stores (e.g., graph databases for episodic lines of reasoning and SQL for user facts) to support robust, context-aware intelligence in agents. ... -
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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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MemProcFS Analyzer
Automated Forensic Analysis of Windows Memory Dumps for DFIR
MemProcFS-Analyzer is a forensic analysis toolset that builds on the MemProcFS virtual filesystem to make volatile memory artefacts easier to browse and interpret. By exposing process memory, kernel objects, and derived artifacts as regular files, the framework lets analysts use familiar filesystem operations and standard tools (editors, grep, diff) to explore memory snapshots. The Analyzer layer adds higher-level parsing and extraction routines—for example, carving strings, locating injected modules, enumerating handles, or reconstructing network sockets—so investigators can go from raw memory to actionable evidence more quickly. ... -
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GBrain
Garry's Opinionated OpenClaw/Hermes Agent Brain
GBrain is an open-source AI memory system designed to give autonomous agents persistent, structured, and scalable long-term memory across interactions and workflows. It operates by transforming large collections of markdown documents, personal notes, and external data into a searchable knowledge base backed by PostgreSQL and vector embeddings, enabling both semantic and keyword-based retrieval. -
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FlashAttention
Fast and memory-efficient exact attention
FlashAttention is a high-performance deep learning optimization library that reimplements the attention mechanism used in transformer models to be significantly faster and more memory-efficient than standard implementations. It achieves this by using IO-aware algorithms that minimize memory reads and writes, reducing the quadratic memory overhead typically associated with attention operations. The project provides implementations of FlashAttention, FlashAttention-2, and newer iterations optimized for modern GPU architectures such as NVIDIA Hopper and AMD accelerators. ... -
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FlatBuffers
Memory Efficient Serialization Library
FlatBuffers is an open source, cross-platform serialization library designed for maximum memory efficiency. Originally created at Google for game development and other performance-critical apps, FlatBuffers has the unique ability of allowing you to directly access serialized data without having to parse or unpack beforehand. Since the only memory needed to access your data is that of the buffer, it is also very memory efficient and fast. -
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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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Beads
A memory upgrade for your coding agent
...This approach helps coding agents — and human collaborators — track which tasks depend on others, what has been done, and where workflows branch or reunify without losing important data. By leveraging Git as the storage backbone, the project ensures that memory is persistent, diffable, and sharable, with the ability to roll back, branch, or merge memory states just like source code. -
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Hindsight
Hindsight: Agent Memory That Learns
Hindsight is an advanced, open-source memory system for AI agents designed to enable long-term learning, reasoning, and consistency across interactions by treating memory as a first-class component of intelligence rather than a simple retrieval layer. It addresses one of the core limitations of modern AI agents, which is their inability to retain and meaningfully use past experiences over time, by introducing a structured, biomimetic memory architecture inspired by how human memory works. ... -
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Redis
An in-memory database that persists on disk
Redis is an open-source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions, and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster. ... -
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Letta Code
The memory-first coding agent
Letta Code is a memory-first CLI coding agent built on the Letta platform that offers developers a persistent AI assistant capable of learning and improving over time rather than resetting state each session, giving agents a sense of continuity and context across coding tasks. Unlike traditional session-based coding tools, Letta Code attaches a long-lived agent to a working directory so that the agent accumulates memory about a project’s structure, preferences, and history, effectively acting as a collaborative partner rather than a stateless helper. ... -
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MemOS
AI memory OS for LLM and Agent systems
MemOS is an experimental operating system and runtime built around the concept of memory-centric computing, where memory objects are first-class citizens and program execution is organized around efficient, persistent memory access rather than traditional process and file system boundaries. The project explores rethinking system abstractions by tightly coupling computation with memory objects so that programs can operate on large datasets without expensive serialization or context switching. ... -
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Memori
SQL-native memory layer enabling persistent context for AI agents
Memori is an open source SQL-native memory engine designed to add persistent memory capabilities to AI applications, large language models, and multi-agent systems. It provides a memory layer that automatically captures conversations and interactions between users and AI models, allowing systems to retain knowledge across sessions instead of operating statelessly. It extracts structured information such as facts, preferences, rules, and summaries from interactions and stores them in standard SQL databases for later retrieval. ... -
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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. ...
