Search Results for "memory" - Page 44
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Showing 2497 open source projects for "memory"
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SuperAGI
A dev-first open source autonomous AI agent framework
...Get insights into your agent’s performance and optimize accordingly. Control token usage to manage costs effectively. Enable your agents to learn and adapt by storing their memory. Get notified when agents get stuck in the loop, and provide proactive resolution. Read and store files generated by Agents. -
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avo
Generate x86 Assembly with Go
...Register allocation: write functions with virtual registers and avo assigns physical registers for you. Automatically load arguments and store return values: ensure memory offsets are correct for complex structures. Generation of stub files to interface with your Go package. APIs subject to change while avo is still in an experimental phase. You can use it to build real things but we suggest you pin a version with your package manager of choice. go run this code to see the assembly output. To integrate this into the rest of your Go package we recommend a go:generate line to produce the assembly and the corresponding Go stub file. -
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BitShares Core
BitShares Blockchain implementation and command-line interface
...If your system came pre-installed with a version of OpenSSL libraries that you do not wish to use, you may manually build your preferred version and use it with BitShares by specifying it on the CMake command line. By default the node will start in reduced memory mode by using some of the commands detailed in Memory reduction for nodes. -
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RWKV
RNN with great LLM performance
...The project is built around the idea that a model can be trained in a parallelizable way like a GPT-style transformer while running inference with recurrent efficiency. This gives RWKV important advantages for long-context use, including lower memory pressure and no traditional key-value cache requirement. The repository includes training code, model notes, research material, and references to current RWKV weights. Its main value is providing the foundation for experimenting with efficient large language models that combine transformer-like scalability with RNN-like runtime behavior. -
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Animation Compression Library
Animation Compression Library
Animation compression is a fundamental aspect of modern video game engines. Not only is it important to keep the memory footprint down but it is also critical to keep the animation clip sampling performance fast. The more memory an animation clip consumes, the slower it will be to sample it and extract a character pose at runtime. For these reasons, any game that attempts to push the boundaries of what the hardware can achieve will at some point need to implement some form of animation compression. ... -
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aria2
aria2 is a lightweight multi-protocol & multi-source download utility
...It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink. aria2 can be manipulated via built-in JSON-RPC and XML-RPC interfaces. aria2 can download a file from multiple sources/protocols and tries to utilize your maximum download bandwidth. Really speeds up your download experience. aria2 doesn’t require much memory and CPU time. When disk cache is off, the physical memory usage is typically 4MiB (normal HTTP/FTP downloads) to 9MiB (BitTorrent downloads). CPU usage in BitTorrent with a download speed of 2.8MiB/sec is around 6%. aria2 supports The Metalink Download Description Format (aka Metalink v4), Metalink version 3, and Metalink/HTTP. Metalink offers the file verification, HTTP/FTP/SFTP/BitTorrent integration and various configurations for language, location, OS, etc. -
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Alpaca Electron
The simplest way to run Alpaca on your own computer
Alpaca Electron is built from the ground up to be the easiest way to chat with the alpaca AI models. No command line or compiling is needed. Only windows is currently supported for now. The new llama.Cpp binaries that support GGUF have not yet been built for other platforms. -
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Neural Tangents
Fast and Easy Infinite Neural Networks in Python
...The library closely mirrors JAX’s stax API while extending it to return a kernel_fn alongside init_fn and apply_fn, enabling drop-in workflows for kernel computation. Kernel evaluation is highly optimized for speed and memory, and computations can be automatically distributed across accelerators with near-linear scaling. -
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gpu_poor
Calculate token/s & GPU memory requirement for any LLM
gpu_poor is an open-source tool designed to help developers determine whether their hardware is capable of running a specific large language model and to estimate the performance they can expect from it. The project focuses on calculating GPU memory requirements and predicted inference speed for different models, hardware configurations, and quantization strategies. By analyzing factors such as model size, context length, batch size, and GPU specifications, the system estimates how much VRAM will be required and how fast tokens can be generated during inference. The tool also provides a detailed breakdown of where GPU memory is allocated, including model weights, KV cache, activations, and other runtime overhead. ... -
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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Ulfius HTTP Framework
Web Framework to build REST APIs, Webservices or any HTTP endpoint
...Based on GNU libmicrohttpd for the backend web server, Jansson for the json manipulation library, and Libcurl for the SMTP client API. Used to facilitate the creation of web applications in C programs with a small memory footprint, as in embedded systems applications. You can create web services in HTTP or HTTPS mode, stream data, or implement server web sockets. -
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aedit
Text Editor based on Intel ISIS-II aedit
...This was originally written in the mid 80s on QNX running on an 8088, with a CBM-64 acting as the console. I have used this on every UNIX system I have touched. A couple of things have not been implemented, (a) other - a feature to hold two files in memory (b) error on saving detected, the original ISIS-II would reboot if you attempted to write to a read-only disk, so this part just never happened in the C version - sin of omission. It has even run on UNIX Release 7 on a PDP-II emulator. -
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ccgsl
Use Gnu Scientific Library as if it were writtem in C++.
The ccgsl provides simple C++ wrappers for the GNU Scientific Library. It uses Java-like shared-pointer classes in place of structs to avoid direct memory allocation/freeing and to work better with the STL. It lets you construct functions for optimisation, root-finding and the like from C++ member functions, making it easier to integrate with existing C++ code. It also provides C++ exceptions. -
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SpiceDB
SpiceDB is the open source, Zanzibar-inspired authorization system
Open Source, Google Zanzibar-inspired permissions database to enable fine-grained access control for customer applications. Get started with the SpiceDB playground: https://play.authzed.com/ -
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inxi
inxi is a full featured CLI system information tool
...Though development is archived, it remains available in many Linux/BSD repositories. Displays comprehensive system information including CPU, kernel version, uptime, memory, disk, processes, etc. Supports many command-line options (-A, -b, etc.) to customize output (audio, battery, network, etc.) Works in both console and IRC clients for remote system info sharing. Available in most Linux distribution repositories and supports BSDs. -
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Tengine
A distribution of Nginx with some advanced features
...Support asynchronous OpenSSL, using hardware such as QAT for HTTPS acceleration. Enhanced operations monitoring, such as asynchronous log & rollback, DNS caching, memory usage, etc. Support server_name in Stream module. More load balancing methods, e.g., consistent hashing, and session persistence. -
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Logagent
Extensible log shipper with input/output plugins, buffering, etc.
Logagent is a modern, open-source, lightweight log shipper. It is like Filebeat and Logstash in one, without the JVM memory footprint. It comes with out-of-the-box and extensible log parsing, on-disk buffering, secure transport, and bulk indexing to Elasticsearch, Sematext Logs, and other destinations. Its low memory footprint and low CPU overhead make it suitable for deploying on edge nodes and devices, while its ability to parse and structure logs makes it a great Logstash alternative. -
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Onix OS
Onix
onix is a minimalist educational operating system written in Rust, created to demonstrate low-level system design in a safe and modern language. It covers kernel essentials such as interrupts, memory management, and multitasking, and includes a tiny Unix-like shell for user interaction. onix is tailored for x86_64 systems and runs in QEMU, making it ideal for learning OS internals while benefiting from Rust’s type safety and concurrency guarantees. It’s a great project for students or Rustaceans interested in systems programming. -
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AutoGPT.js
Auto-GPT on the browser
...Unlike traditional AutoGPT implementations that require server infrastructure, AutoGPT.js is designed to run primarily in the browser, making it easier to deploy and experiment with autonomous agents. The platform uses web APIs and language model integrations to give the agent the ability to plan tasks, execute commands, and store short-term memory during operations. Developers can also configure the system to connect to different language model APIs and adjust parameters such as temperature or prompt configuration. The project demonstrates how autonomous AI agents can operate within modern web environments while maintaining user privacy and accessibility. -
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libCEED
CEED Library: Code for Efficient Extensible Discretizations
...One of the challenges with high-order methods is that a global sparse matrix is no longer a good representation of a high-order linear operator, both with respect to the FLOPs needed for its evaluation, as well as the memory transfer needed for a matvec. Thus, high-order methods require a new "format" that still represents a linear (or more generally non-linear) operator, but not through a sparse matrix. -
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Munin
Main repository for munin master / node / plugins
...In Norse mythology, Hugin and Munin are the ravens of the god king Odin. They flew all over Midgard for him, seeing and remembering, and later telling him. "Munin" means "memory". -
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IndexedTables.jl
Flexible tables with ordered indices
IndexedTables provides tabular data structures where some of the columns form a sorted index. It provides the backend to JuliaDB, but can be used on its own for efficient in-memory data processing and analytics. -
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rathole
A lightweight and high-performance reverse proxy for NAT traversal
...High Performance Much higher throughput can be achieved than frp, and more stable when handling a large volume of connections. Low Resource Consumption Consumes much fewer memory than similar tools. See Benchmark. The binary can be as small as ~500KiB to fit the constraints of devices, like embedded devices as routers. Security Tokens of services are mandatory and service-wise. The server and clients are responsible for their own configs. With the optional Noise Protocol, encryption can be configured at ease. ... -
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RedisGraph
A graph database as a Redis module
A high-performance graph database module for Redis that enables fast graph processing and analytics using a query engine based on Cypher. -
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text-dedup
All-in-one text de-duplication
...This is especially useful for NLP tasks where duplicated training data can skew model performance. text-dedup scales to billions of documents and offers tools for chunking, hashing, and comparing text efficiently with low memory usage. It supports Jaccard similarity thresholding, parallel execution, and flexible deduplication strategies, making it ideal for cleaning web-scraped data, language model training datasets, or document archives. -
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Dragonboat
A feature complete and high performance multi-group Raft library in Go
...It is also very easy to use, our step-by-step examples can help new users to master it in half an hour. Easy to use pure-Go APIs for building Raft based applications. Feature complete and scalable multi-group Raft implementation. Disk based and memory based state machine support. Fully pipelined and TLS mutual authentication support.
