Showing 115 open source projects for "working memory"

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  • Build Agents and Models on One Platform Icon
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  • 1
    DataFrames.jl

    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 worldwide. ...
    Downloads: 0 This Week
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  • 2
    Letta Code

    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. ...
    Downloads: 7 This Week
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  • 3
    MemGuard

    MemGuard

    Secure software enclave for storage of sensitive information in memory

    This package attempts to reduce the likelihood of sensitive data being exposed when in memory. It aims to support all major operating systems and is written in pure Go. Sensitive data is encrypted and authenticated in memory with XSalsa20Poly1305. The scheme used also defends against cold-boot attacks. Memory allocation bypasses the language runtime by using system calls to query the kernel for resources directly. This avoids interference from the garbage collector. Buffers that store...
    Downloads: 0 This Week
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  • 4
    ReMe

    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.
    Downloads: 0 This Week
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  • 5
    Claude Cognitive

    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. ...
    Downloads: 1 This Week
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  • 6
    Neuron AI

    Neuron AI

    The PHP Agentic Framework to build production-ready AI driven apps

    Neuron AI is a PHP agentic framework for building production-ready AI applications that connect models, memory, vector databases, and tools into working agents. It is designed for developers who want to create systems such as RAG pipelines, multi-agent workflows, and business process automations without having to hand-build every integration from scratch. The framework provides an Agent class that can be extended to inherit core capabilities like memory, tools, function calling, and retrieval-augmented generation. ...
    Downloads: 7 This Week
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  • 7
    LangChain

    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.
    Downloads: 5 This Week
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  • 8
    Hermes Agent Orange Book

    Hermes Agent Orange Book

    From Beginner to Master · Orange Book Series

    Hermes Agent Orange Book is a structured knowledge resource and guide for building and understanding Hermes-style autonomous agents. It compiles principles, workflows, and patterns used in agent-based systems into an organized format. The project focuses on explaining how agents manage memory, tools, and iterative reasoning processes. It serves as both a reference and a learning resource for developers working with autonomous AI systems. The content emphasizes practical implementation strategies rather than abstract theory. It is particularly useful for those building or studying agent architectures. Overall, it provides a comprehensive overview of agent design and operation.
    Downloads: 1 This Week
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  • 9
    SkyEmu

    SkyEmu

    Game Boy Advance, Game Boy, Game Boy Color, and DS Emulator

    SkyEmu is a modern, multi-system handheld emulator that supports Game Boy, Game Boy Color, Game Boy Advance, and experimental Nintendo DS emulation, with a strong focus on balancing accuracy, performance, and usability. It is designed as a low-level emulator that accurately reproduces hardware behavior while still offering a smooth and accessible user experience across a wide range of platforms. The emulator is highly portable, supporting desktop operating systems, mobile devices, and even...
    Downloads: 109 This Week
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  • 10
    Gocache

    Gocache

    Go cache library that brings you multiple ways to manage caches

    Guess what is Gocache? a Go cache library. This is an extendable cache library that brings you a lot of features for caching data. Multiple cache stores: actually in memory, redis, or your own custom store. A chain cache: use multiple cache with a priority order (memory then fallback to a redis shared cache for instance) A loadable cache: allow you to call a callback function to put your data back in cache. A metric cache to let you store metrics about your caches usage (hits, miss, set success, set error, ...) ...
    Downloads: 0 This Week
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  • 11
    Explorer

    Explorer

    Series (one-dimensional) and dataframes (two-dimensional)

    Explorer brings series (one-dimensional) and data frames (two-dimensional) to Elixir for fast data exploration.
    Downloads: 3 This Week
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  • 12
    Desktop Commander MCP

    Desktop Commander MCP

    AI-powered MCP server for desktop file and terminal automation

    ...Desktop Commander MCP builds on top of an MCP filesystem server and enhances it with powerful search, replace, and code editing capabilities tailored for real-world development environments. It allows users to run terminal commands with streaming output, manage long-running processes, and even execute code in memory without saving files. It also supports working with structured and document formats such as Excel, PDF, and DOCX, enabling AI to read, modify, and generate these files directly.
    Downloads: 8 This Week
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  • 13
    AvCpp

    AvCpp

    C++ wrapper for FFmpeg

    AvCpp is a modern C++ wrapper library for FFmpeg designed to provide a safer and more intuitive interface for multimedia processing. It leverages modern C++ features to simplify memory management and reduce the complexity of working with FFmpeg’s C APIs. The library enables developers to handle encoding, decoding, and streaming tasks with cleaner and more maintainable code. It focuses on performance while improving developer productivity through abstraction. avcpp supports integration into multimedia applications requiring efficient processing pipelines. ...
    Downloads: 0 This Week
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  • 14
    Agrona

    Agrona

    High Performance data structures and utility methods for Java

    Agrona provides a library of data structures and utility methods that are a common need when building high-performance applications in Java. Many of these utilities are used in the Aeron efficient reliable UDP unicast, multicast, and IPC message transport and provides high-performance buffer implementations to support the Simple Binary Encoding Message Codec.
    Downloads: 0 This Week
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  • 15
    Go Container Registry

    Go Container Registry

    Go library and CLIs for working with container registries

    go-containerregistry is a Go library (with companion tools) for interacting with container images and registries using OCI/Docker formats. It provides primitives to read, write, mutate, sign, and copy images and indexes across registries without shelling out to Docker. High-level utilities like crane and gcrane offer convenient CLIs for everyday tasks—listing tags, copying images between registries, flattening, creating tarballs, and more. The library handles authentication via a pluggable...
    Downloads: 7 This Week
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  • 16
    Bumper.jl

    Bumper.jl

    Bring Your Own Stack

    Bumper.jl is a package that aims to make working with bump allocators (also known as arena allocators) easier and safer. You can dynamically allocate memory to these bump allocators, and reset them at the end of a code block, just like Julia's stack. Allocating to a bump allocator with Bumper.jl can be just as efficient as stack allocation. Bumper.jl is still a young package, and may have bugs.
    Downloads: 2 This Week
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  • 17
    jetson-stats

    jetson-stats

    Simple package for monitoring and control your NVIDIA Jetson

    ...It supports Jetson platforms such as Orin, Xavier, Nano, TX, and newer Jetson families. The project includes jtop, a terminal-based dashboard that gives users a live view of CPU, GPU, memory, power, temperature, engine usage, and system status. It can also be imported into Python scripts, which makes it useful for custom monitoring, robotics dashboards, automation, and diagnostics. Developers working with embedded AI systems can use it to understand performance limits and troubleshoot hardware behavior during deployment. ...
    Downloads: 0 This Week
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  • 18
    Pedalboard

    Pedalboard

    A Python library for audio

    pedalboard is a Python library for working with audio: reading, writing, rendering, adding effects, and more. It supports the most popular audio file formats and a number of common audio effects out of the box and also allows the use of VST3® and Audio Unit formats for loading third-party software instruments and effects. pedalboard was built by Spotify’s Audio Intelligence Lab to enable using studio-quality audio effects from within Python and TensorFlow. Internally at Spotify, pedalboard...
    Downloads: 5 This Week
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  • 19
    InMemoryDatasets.jl

    InMemoryDatasets.jl

    Multithreaded package for working with tabular data in Julia

    InMemoryDatasets.jl is a multithreaded package for data manipulation and is designed for Julia 1.6+ (64-bit OS). The core computation engine of the package is a set of customized algorithms developed specifically for columnar tables.
    Downloads: 0 This Week
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  • 20
    CUDA API Wrappers

    CUDA API Wrappers

    Thin, unified, C++-flavored wrappers for the CUDA APIs

    CUDA API Wrappers is a C++ library providing high-level, modern wrappers for NVIDIA’s CUDA runtime and driver APIs, enhancing usability and efficiency. It is intended for those who would otherwise use these APIs directly, to make working with them more intuitive and consistent, making use of modern C++ language capabilities, programming idioms, and best practices. In a nutshell - making CUDA API work more fun.
    Downloads: 2 This Week
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  • 21
    Kotlin Dataframe

    Kotlin Dataframe

    Structured data processing in Kotlin

    Data frame is an abstraction for working with structured data. Essentially it’s a 2-dimensional table with labeled columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dictionary of series objects. The handiness of this abstraction is not in the table itself but in a set of operations defined on it. The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data...
    Downloads: 1 This Week
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  • 22
    CUDA Python

    CUDA Python

    Performance meets Productivity

    ...It integrates tightly with the broader Python GPU ecosystem, including Numba for kernel compilation and CCCL for parallel primitives, allowing developers to write performant code without leaving Python. The toolkit also includes utilities for profiling, memory management, distributed computing, and numerical operations, making it suitable for scientific computing, AI, and data processing workloads.
    Downloads: 3 This Week
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  • 23
    Rinf

    Rinf

    Rust for native business logic, Flutter for flexible and beautiful GUI

    ...Additionally, you have the flexibility to utilize any number of Rust library crates, perhaps including those you might have been working on.
    Downloads: 1 This Week
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  • 24
    Joern

    Joern

    Open-source code analysis platform for C/C++/Java/Binary/Javascript

    Joern is a platform for analyzing source code, bytecode, and binary executables. It generates code property graphs (CPGs), a graph representation of code for cross-language code analysis. Code property graphs are stored in a custom graph database. This allows code to be mined using search queries formulated in a Scala-based domain-specific query language. Joern is developed with the goal of providing a useful tool for vulnerability discovery and research in static program analysis.
    Downloads: 4 This Week
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  • 25
    Laravel IDE Helper Generator

    Laravel IDE Helper Generator

    Complete PHPDocs, directly from the source

    ...Avoid caching the configuration in your development environment, it may cause issues after installing certain packages; respectively clear the cache beforehand via php artisan cache:clear if you encounter problems when running the commands. Some classes need a working database connection. If you do not have a default working connection, some facades will not be included. You can use an in-memory SQLite driver by adding the -M option. If you need additional information on your model from sources that are not handled by default, you can hook in to the generation process with model hooks to add extra information on the fly.
    Downloads: 0 This Week
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