Search Results for "multi-system" - Page 74
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Showing 61576 open source projects for "multi-system"
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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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OpenClaw-RL
Train any agents simply by 'talking'
...One of its key ideas is allowing users to train an AI agent simply by interacting with it conversationally, using natural language feedback to guide the learning process. The system incorporates reinforcement learning techniques to refine the agent’s policies for tool use, decision making, and task completion over time. It also explores approaches such as online policy distillation and hindsight feedback signals to strengthen training signals from real interactions. The framework operates asynchronously and does not require external API keys, making it easier to experiment with local agent training workflows. -
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PRIME
Scalable RL solution for advanced reasoning of language models
PRIME is an open-source reinforcement learning framework designed to improve the reasoning capabilities of large language models through process-level rewards rather than relying only on final outputs. The system introduces the concept of process reinforcement through implicit rewards, allowing models to receive feedback on intermediate reasoning steps instead of evaluating only the final answer. This approach helps models learn better reasoning strategies and encourages them to generate more reliable multi-step solutions to complex tasks. ... -
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Skywork-R1V4
Skywork-R1V is an advanced multimodal AI model series
Skywork-R1V is an open-source multimodal reasoning model designed to extend the capabilities of large language models into vision-language tasks that require complex logical reasoning. The project introduces a model architecture that transfers the reasoning abilities of advanced text-based models into visual domains so the system can interpret images and perform multi-step reasoning about them. Instead of retraining both language and vision models from scratch, the framework uses a lightweight visual projection layer that connects a pretrained vision backbone with a reasoning-capable language model. This design allows the model to analyze images while maintaining strong textual reasoning performance, enabling tasks such as solving visual math problems, interpreting scientific diagrams, and answering questions about images. -
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LLM TLDR
95% token savings. 155x faster queries. 16 languages
LLM TLDR is a tool that leverages large language models (LLMs) to generate concise, coherent summaries (TL;DRs) of long documents, articles, or text files, helping users quickly understand large amounts of content without reading every word. It integrates with LLM APIs to handle input texts of varying lengths and complexity, applying techniques like chunking, context management, and multi-pass summarization to preserve accuracy even when the source is very large. The system supports both extractive and abstractive summarization styles so that users can choose whether they want condensed highlights or a more narrative paraphrase of key ideas. To enhance usability, LLM-TLDR includes command-line tools and integration examples for common workflows like batch summarization, webhook ingestion, and automation in documentation pipelines. -
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Open-AutoGLM
An open phone agent model & framework
...It aims to create an “AI phone agent” that can perceive on-screen content, reason about user goals, and execute sequences of taps, swipes, and text input via automated device control interfaces like ADB, enabling hands-off completion of multi-step tasks such as navigating apps, filling forms, and more. Unlike traditional automation scripts that depend on brittle heuristics, Open-AutoGLM uses pretrained large language and vision-language models to interpret visual context and natural language instructions, giving the agent robust adaptability across apps and interfaces. -
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Kodu
Kodu is an autonomous coding agent that lives in your IDE
Claude Coder is an open-source developer environment that integrates Anthropic’s Claude models directly into the coding workflow, functioning as a local or hosted AI pair programmer. It provides conversational and in-line code assistance, helping developers write, refactor, and debug code through context-aware interactions. The system runs through a local interface or within VS Code and other editors, maintaining privacy by keeping context on-device when possible. Claude Coder supports large-context interactions, enabling the AI to process entire repositories or multi-file structures rather than isolated snippets. It includes conversation history, diff previews, and code-generation templates for repetitive tasks. ... -
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Seamless Communication
Foundational Models for State-of-the-Art Speech and Text Translation
Seamless Communication is a research project focused on building more integrated, low-latency multimodal communication between humans and AI agents. The motivation is to move beyond “text in, text out” and enable direct, live, multi-turn exchange involving language, gesture, gaze, vision, and modality switching without user friction. The system architecture includes a real-time multimodal signal pipeline for audio, video, and sensor data, a dialog manager that can decide when to act (speak, gesture, point) or query, and a cross-modal reasoning layer that fuses perception with semantic context. ... -
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NVIDIA Isaac GR00T
NVIDIA Isaac GR00T N1.5 is the world's first open foundation model
NVIDIA Isaac‑GR00T N1.5 is an open-source foundation model engineered for generalized humanoid robot reasoning and manipulation skills. It accepts multimodal inputs—such as language and images—and uses a diffusion transformer architecture built upon vision-language encoders, enabling adaptive robot behaviors across diverse environments. It is designed to be customizable via post-training with real or synthetic data. The vision-language model remains frozen during both pretraining and... -
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ludo
A libretro frontend written in golang
Ludo is a user-friendly, lightweight frontend for the libretro ecosystem, designed to make retro game emulation simple and accessible. Unlike more complex frontends like RetroArch, Ludo emphasizes minimalism and ease of use, offering a plug-and-play experience with clean navigation and fast loading times. It supports multiple libretro cores, handles gamepad input automatically, and works across platforms with a native UI. Ludo is ideal for users who want to enjoy retro games with minimal... -
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compression
Node.js compression middleware
compression is a Node.js middleware for Express applications that enables HTTP response compression, improving the performance of web applications by reducing the size of the response body. -
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EcoPaste
Open source clipboard management tools for Windows, Macos and Linux
Open source clipboard management tools for Windows, macOS, and Linux. Built with Tauri, the application is lightweight and refined, consuming minimal resources. It also delivers a uniform user experience across both Windows, MacOS, and Linux platforms. The application is resident in the background, wakes up with one click through custom shortcut keys, saves time, and improves efficiency. Allows you to bookmark clipboard content for easy and fast access. Whether it's crucial data for work or... -
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Popeye
A Kubernetes cluster resource sanitizer
Popeye is a utility that scans live Kubernetes cluster and reports potential issues with deployed resources and configurations. It sanitizes your cluster based on what’s deployed and not what’s sitting on disk. By scanning your cluster, it detects misconfigurations and helps you to ensure that best practices are in place, thus preventing future headaches. It aims at reducing the cognitive overload one faces when operating a Kubernetes cluster in the wild. Furthermore, if your cluster employs... -
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Phalcon
High performance, full-stack PHP framework delivered as a C extension
...The code is compiled and isn't interpreted because it's already compiled to a specific platform and processor. Thanks to its low-level architecture and optimizations Phalcon provides the lowest overhead for MVC-based applications. Build single and multi-module applications with ease and pleasure. Using the file structure, scheme and patterns you already know. Phalcon is built upon a powerful yet easy to understand and use pattern called Dependency Injection. Initialize or define services once, and use them virtually anywhere throughout the application. -
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AndroidSDK
Full-fledged Android SDK Docker Image
AndroidSDK is a Docker-based development environment that provides a complete, portable Android SDK setup for building, testing, and deploying Android applications in a consistent and reproducible way. Instead of installing and configuring the Android SDK locally, developers can run a preconfigured container that includes essential tools such as the SDK, build tools, Gradle, and Kotlin compiler. This approach solves common issues related to environment inconsistency, such as dependency... -
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Llama Cookbook
Solve end to end problems using Llama model family
The Llama Cookbook is the official Meta LLaMA guide for inference, fine‑tuning, RAG, and multi-step use-cases. It offers recipes, code samples, and integration examples across provider platforms (WhatsApp, SQL, long context workflows), enabling developers to quickly harness LLaMA models -
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MCP OpenAI
Chat with OpenAI models from Claude Desktop
The MCP OpenAI Server is a Model Context Protocol server that allows seamless interaction with OpenAI's models directly from applications like Claude Desktop. It simplifies the integration of OpenAI's language models into various workflows. -
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LazyLLM
Easiest and laziest way for building multi-agent LLMs applications
LazyLLM is an optimized, lightweight LLM server designed for easy and fast deployment of large language models. It is fully compatible with the OpenAI API specification, enabling developers to integrate their own models into applications that normally rely on OpenAI’s endpoints. LazyLLM emphasizes low resource usage and fast inference while supporting multiple models. -
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Eclipse JNoSQL
Eclipse JNoSQL is a framework
Eclipse JNoSQL is a framework designed for Java developers to interact with NoSQL databases in a standardized way. It provides a unified API and supports various NoSQL database types, including document, key-value, column-family, and graph databases. JNoSQL integrates with Jakarta EE and MicroProfile, making it suitable for enterprise applications. -
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PyGAD
Source code of PyGAD, Python 3 library for building genetic algorithms
PyGAD is an open-source easy-to-use Python 3 library for building the genetic algorithm and optimizing machine learning algorithms. It supports Keras and PyTorch. PyGAD supports optimizing both single-objective and multi-objective problems. PyGAD supports different types of crossover, mutation, and parent selection. PyGAD allows different types of problems to be optimized using the genetic algorithm by customizing the fitness function. -
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parseable
Parseable is a log analytics system written in Rust
Parseable is a log analytics platform, built for the modern, cloud native era. Parseable uses a index-free mechanism to organize and query data allowing low latency, and high throughput ingestion and query. -
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Zigbee2MQTT
Get rid of your proprietary Zigbee bridges
Zigbee2MQTT is an open-source bridge that lets users operate Zigbee devices without relying on proprietary vendor gateways. It connects compatible Zigbee adapters to devices and translates their events and controls into MQTT messages. This makes Zigbee hardware usable with a wide range of home automation platforms rather than tying it to one ecosystem. The project maintains device state locally and provides web interfaces for monitoring and configuration. Its architecture combines... -
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Fluxer
A free and open source instant messaging and VoIP platform
Fluxer is a free and open-source instant messaging and VoIP platform designed to provide communities, friend groups, and teams with a self-hostable communication alternative. The project combines real-time chat, voice calling, and community features into a unified system that can be deployed independently rather than relying on centralized proprietary services. It is built with a modern TypeScript stack and focuses on delivering a clean user experience alongside flexible infrastructure options for developers who want control over their communication environment. Fluxer supports typical messaging workflows while also aiming to provide extensibility for plugins and future integrations. ... -
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Moon Repo
A build system and monorepo management tool for the web ecosystem
Moon is a build system and project management tool designed to handle monorepos, providing efficient workflows and task orchestration for large-scale projects. -
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Roxy-WI
Web interface for managing Haproxy, Nginx, Apache and Keepalived
For those who need a convenient interface for managing all services in one place. Roxy-WI was created for people who want to have a fault-tolerant infrastructure, but do not want to plunge deep into the details of setting up and creating a cluster based on HAProxy, NGINX, Apache, and Keepalived. Use Roxy-WI to build a high available cluster for a couple of clicks: install HAProxy, NGINX, Apache, Keepalived, and its exporters, and carry out the initial configuration for the services. Collect... -
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Toolbx Linux
Tool for interactive command line environments on Linux
...The intention of these systems is to discourage installation of software on the host, and instead install software as (or in) containers — they mostly don't even have package managers like DNF or YUM. This makes it difficult to set up a development environment or troubleshoot the operating system in the usual way.
