Search Results for "memory" - Page 100
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Showing 2497 open source projects for "memory"
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Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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Simple Python class for managing tables of data in memory using NumPy. It allows to give names to views of array. The package contains few classes built on top of the basic one to be used as post processing tools for particle optics computations.
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EORS
rational agent
This project aims at creating rationally thinking agents. The agent gather information through command line or network and stores it in its memory. It uses Stanford's NLP library to understand the language statements. -
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JOMS is an extremely lightweight, simple Java Enterprise Service Bus. While similar to MULE and MINA, it can be run in a small memory environment or in an embedded server environment. It can also be transparently networked or clustered.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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A lightweight, cross-platform translation memory application.
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A model specification, scenegraph and importers for jWMdl, a hybrid model format with many useful features, such as Forward Kinematic animations, animation targeting, animation, texture, and mesh instancing, and a volatile data hierarchy.
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Outils de génération d'un Linux RIM ( Read In Memory ) personnalisable ainsi que de son outil principal permettant la récupération de fichier sur un disque dont le système de fichiers est connu ou non et éventuellement corompu.
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Leilany is a framework to build GUI applications with Python and GTK, using de MVC pattern design. Interested in build the gadgets for invoicing and the necessary requirements. The main goal is make applications with low memory.
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phpAPRS2
PHP based Real Time APRS-IS map viewer using Leaflet
...Features * Real-time tracking: Live updates from APRS-IS network via Server-Sent Events * Interactive map: OpenStreetMap with Leaflet for smooth, responsive mapping * Station markers: APRS symbols mapped to Font Awesome icons * Movement trails: Visual track history for moving stations * Station details: Click markers for detailed information (position, altitude, speed, comment) * Search & filter: Find stations by callsign or comment * Geographic filtering: Configure area of interest (radius-based filtering) * No database required: In-memory storage with Memcached or file fallback Demo: https://phpaprs2.demo.asham.ca/ -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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sort-photorec-datarecovery
Sort PhotoRec files and pictures from a data recovery by date
...Recovered files are moved according to date create / date taken and date last modified into a folder structure extension/year/month. Useful for data recovery from hdd, RAID or memory cards where you get folders with mixed filetypes like from PhotoRec. Supports pictures (JPG, RAW formats) and office-documents (DOCX, DOC, XSLX, PDF, PPTX and more). -
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Epoch based memory management or garbage collection library implemented in c++. It is deterministic, which means it does not suffer "stop the world" problem (please go code|cvs browse to get all files).
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EasyStream
Java library that ease the task to use streams.
...EasyStream is a natural extension of Apache commons-io ( http://commons.apache.org/io/ ), providing advanced solutions to some common but not trivial problem. This library key points are performances, low memory footprint, reduced set of dependencies and simplicity of usage. -
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TX is a free and open source cross-platform Computer Assisted Translation tool with translation memory, full and partial matches, machine translation, glossaries, search engine, support for various document types, and translation projects.
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MiniMax-M2.7
Self-evolving AI model for agents, coding, and complex workflows
MiniMax-M2.7 is a large-scale open-weight language model designed for advanced agent-based workflows, professional software engineering, and complex productivity tasks. With 229B parameters, it introduces a self-evolution framework in which the model actively improves its own capabilities by updating memory, generating skills, and iterating through reinforcement learning experiments. This process enables it to autonomously refine systems, achieving measurable performance gains such as a 30% improvement in programming scaffolds. M2.7 excels in real-world engineering scenarios, including debugging, log analysis, system monitoring, and root cause investigation, demonstrating strong system-level reasoning comparable to SRE workflows. ... -
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TouchFlowPro
Elite typing engine with fatigue-aware analytics for professionals.
TouchFlow Pro is a high-performance typing training platform designed for Medical, Legal, and Tech professionals. Breaking the "OK Plateau" requires more than games; it requires data-driven drills, kinesthetic memory encoding, and real-time fatigue monitoring. Our engine tracks your burst-to-drift ratio to detect cognitive fatigue before your error rate spikes, ensuring every minute of practice is high-quality. Perfect for specialists who rely on their hands for their livelihood. -
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Grok-2.5
Large-scale xAI model for local inference with SGLang, Grok-2.5
...To use it, users must download over 500 GB of files and set them up locally with the SGLang inference engine. Grok-2.5 supports advanced inference with multi-GPU configurations, requiring at least 8 GPUs with more than 40 GB of memory each for optimal performance. It integrates with the SGLang framework to enable serving, testing, and chat-style interactions. The model comes with a post-training architecture and requires the correct chat template to function properly. It is released under the Grok 2 Community License Agreement, encouraging community experimentation and responsible use. -
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GLM-4.5-Air
Compact hybrid reasoning language model for intelligent responses
...Open-sourced under the MIT license, it is commercially usable and integrates with transformers, vLLM, and SGLang inference frameworks. It includes FP8 variants for faster inference and reduced memory requirements. Despite its smaller size compared to full GLM-4.5, GLM-4.5-Air maintains high performance. -
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Ministral 3 8B Instruct 2512
Compact 8B multimodal instruct model optimized for edge deployment
Ministral 3 8B Instruct 2512 is a balanced, efficient model in the Ministral 3 family, offering strong multimodal capabilities within a compact footprint. It combines an 8.4B-parameter language model with a 0.4B vision encoder, enabling both text reasoning and image understanding. This FP8 instruct-fine-tuned variant is optimized for chat, instruction following, and structured outputs, making it ideal for daily assistant tasks and lightweight agentic workflows. Designed for edge deployment,... -
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GigaChat 3 Ultra
High-performance MoE model with MLA, MTP, and multilingual reasoning
GigaChat 3 Ultra is a flagship instruct-model built on a custom Mixture-of-Experts architecture with 702B total and 36B active parameters. It leverages Multi-head Latent Attention to compress the KV cache into latent vectors, dramatically reducing memory demand and improving inference speed at scale. The model also employs Multi-Token Prediction, enabling multi-step token generation in a single pass for up to 40% faster output through speculative and parallel decoding techniques. Its training corpus incorporates ten languages, enriched with books, academic sources, code datasets, mathematical tasks, and more than 5.5 trillion tokens of high-quality synthetic data. ... -
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Mistral Large 3 675B Instruct 2512 NVFP4
Quantized 675B multimodal instruct model optimized for NVFP4
Mistral Large 3 675B Instruct 2512 NVFP4 is a frontier-scale multimodal Mixture-of-Experts model featuring 675B total parameters and 41B active parameters, trained from scratch on 3,000 H200 GPUs. This NVFP4 checkpoint is a post-training-activation quantized version of the original instruct model, created through a collaboration between Mistral AI, vLLM, and Red Hat using llm-compressor. It retains the same instruction-tuned behavior as the FP8 model, making it ideal for production... -
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Ministral 3 3B Instruct 2512
Ultra-efficient 3B multimodal instruct model built for edge deployment
...As an FP8 instruct-fine-tuned model, it is optimized for chat, instruction following, and compact agentic tasks while maintaining strong adherence to system prompts. Despite its small size, it delivers efficient real-time performance and can run locally on a single 8GB GPU, with further memory reductions through quantization. It supports dozens of languages across major global regions, making it well-suited for multilingual and embedded applications. The model also provides function calling, clean JSON output, and stable tool-use behavior, enabling it to serve as a small but effective agentic system. -
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A semantic memory software tool “reflects” one's “imagination”. In it, arbitrary concepts may be described, stored, arranged, transformed, and shared. One may verbalize thoughts as they arise in the mind to externalize and digitize “mental obj
