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Showing 12 open source projects for "users"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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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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OpenAI Agents SDK
A lightweight, powerful framework for multi-agent workflows
...This framework enables developers to create and manage agents that can coordinate tasks autonomously, using a set of instructions, tools, guardrails, and handoffs. The SDK allows users to configure workflows in which agents can pass control to other agents as necessary, ensuring dynamic task management. It also includes a built-in tracing system for tracking, debugging, and optimizing agent activities. -
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Orkas
Open-source local-first desktop AI workforce coordinated through chat.
Orkas is an open-source, local-first desktop AI workforce. A Commander turns goals into executable plans and coordinates specialist agents in parallel or sequence through one chat. Orkas can coordinate built-in agents and external local agents such as Claude Code, Codex, OpenClaw, OpenCode, Hermes, and other supported runtimes. Conversations, files, agent configuration, and model keys stay local; the open-source edition uses user-selected providers or compatible local model endpoints. -
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SpiLLI
Decentralized AI Inference
SpiLLI provides infrastructure to manage, host, deploy and run Decentralized AI inference -
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AgentVerse
Designed to facilitate the deployment of multiple LLM-based agents
AgentVerse is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation. -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
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DevOpsGPT
Multi agent system for AI-driven software development
Welcome to the AI Driven Software Development Automation Solution, abbreviated as DevOpsGPT. We combine LLM (Large Language Model) with DevOps tools to convert natural language requirements into working software. This innovative feature greatly improves development efficiency, shortens development cycles, and reduces communication costs, resulting in higher-quality software delivery. The automated software development process significantly reduces delivery time, accelerating software... -
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Library to help the creation of the dynamic systems, like simulators or games. Key word : 3D Rendering, Multi-Agent system, Collision detection, Game
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Locus
AgentSpeak-like environment description for Jason
...The agents are describbed in AgentSpeak, but the environment requires a Java description of how the actions and perceptions happen. We aim to close the gap between the descriptions with an AgentSpeak-like description of the environment for new users and simpler examples. Locus generates the Java source required by Jason, giving the user an easier starting point to create complex environments without limiting the user to the tool. The Java output can be further modified if required. -
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Urban is a software capable of procedurally creating 3d urban environments. It's based on a multi-agent system where each agent is responsible for one type of urban object. This means the system is highly modular and can easily be extended.
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MASyV (Multi-Agent System Visualization) enables one to write agent-based models/cellular automata, eg. in C, visualize them in real time & capture to movie file with MASyVs GUI & message passing lib. Includes examples: Hello World, ants, viral infection
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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...It aggregates literature information gathered from different sources into a viable format. It provides a visualization search and exports the literature information for users. It also integrates JADE and Nutch.
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This project simulates a multi-agent system (swarm) behavior both graphically and not. The purpose of this project is to research the properties suggested in "stability analysis of swarms" V.Gazi & K.M.Passino. Using the vpython library for 3D modeling
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Egregor
Egregor — Local-first desktop Multi-AI Consilium
Egregor — это локальное десктопное приложение, которое объединяет несколько моделей ИИ (Claude, GPT, Gemini, DeepSeek и 300+ через OpenRouter) в структурированный «консилиум», где они обсуждают и сверяют ответы друг друга. Включает защиту от группового мышления, карту доверия и конвейер аудита смарт-контрактов. Все данные проекта остаются на собственном компьютере пользователя
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