Search Results for "memory" - Page 49
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Showing 3193 open source projects for "memory"
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CursusDB
CursusDB is an open-source distributed in-memory database
CursusDB is a time-series database built for high-performance analytics and data processing, optimized for handling large volumes of sequential data efficiently. -
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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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Punica
Serving multiple LoRA finetuned LLM as one
...LoRA is a parameter-efficient fine-tuning method that allows developers to adapt large pretrained models to specific tasks by adding lightweight adapter layers rather than retraining the entire model. Punica introduces a serving architecture that allows multiple LoRA adapters to share the same base model during inference, significantly reducing memory consumption and computational overhead. The system includes specialized CUDA kernels that enable batched GPU operations across different LoRA models simultaneously. This design allows a single GPU cluster to host many task-specific models while maintaining high throughput and minimal latency. The architecture also includes scheduling mechanisms that coordinate requests from multiple tenants and distribute workloads efficiently across available resources. -
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Firefly LLM
A large model training tool that supports training large models
Firefly is an open-source framework designed to simplify the training and fine-tuning of large language models through a unified and configurable workflow. The project provides a comprehensive environment where developers can perform tasks such as model pre-training, instruction tuning, and preference optimization using widely adopted machine learning techniques. Its architecture supports both full-parameter training and parameter-efficient strategies like LoRA and QLoRA, making it suitable... -
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GPT Discord Bot
Example Discord bot written in Python that uses the completions API
GPT Discord Bot is an example project from OpenAI that shows how to integrate the OpenAI API with Discord using Python. The bot uses the Chat Completions API (defaulting to gpt-3.5-turbo) to carry out conversational interactions and the Moderations API to filter user messages. It is built on top of the discord.py framework and the OpenAI Python library, providing a simple, extensible template for building AI-powered Discord applications. The bot supports a /chat command that spawns a public... -
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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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NSQ
A realtime distributed messaging platform
NSQ is a realtime distributed messaging platform that is designed to scale, and can even handle billions of messages daily. It promotes distributed and decentralized topologies, allowing it high availability and fault tolerance along with guaranteed reliable message delivery. NSQ scales horizontally and is easy to configure and deploy. It is agnostic to data format, so messages can be in JSON, MsgPack, Protocol Buffers, or anything else. Official Go and Python libraries are available,... -
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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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ProPainter
Improving Propagation and Transformer for Video Inpainting
...The project accepts video input or split frames along with frame-wise masks that define the areas to reconstruct. It provides pretrained models, example inputs, inference scripts, and an interactive demo workflow for object removal. The repository also includes memory-efficient inference features to reduce GPU out-of-memory issues during video processing. ProPainter is useful for research, video editing experiments, object removal prototypes, and completion tasks where consistent motion is important. -
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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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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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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. ... -
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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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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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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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KeyDB
A Multithreaded Fork of Redis
KeyDB is an incredibly fast NoSQL database, a high performance fork of Redis that can perform up to 5X faster than Redis and can be used as a drop in alternative. KeyDB is focused on multithreading, memory efficiency, and high throughput, with features and capabilities not readily available with Redis. KeyDB has gained quite a reputation for its exceptional performance and features. Apart from multithreading it offers such features as multi-master replication, persistence capabilities, horizontal and vertical scalability and direct backup to AWS S3 right out of the box. ... -
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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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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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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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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.