Search Results for "multi%20seat"
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2523 projects for "multi%20seat" with 1 filter applied:
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multi-agent-shogun
Samurai-inspired multi-agent system for Claude Code
multi-agent-shogun is a multi-agent orchestration system designed to coordinate multiple AI coding agents working in parallel. Inspired by the hierarchy of a feudal Japanese military structure, the system organizes agents into roles such as Shogun, Karo, and Ashigaru, which correspond to strategist, coordinator, and worker agents. A user interacts primarily with the Shogun agent by issuing natural language instructions that describe the desired tasks. -
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Open Multi-Agent
One runTeam() call from goal to result
...The architecture is designed to be extensible, enabling integration with external tools and APIs to expand agent capabilities. It is particularly useful for research, automation, and development workflows that require multiple perspectives or stages of processing. Overall, open-multi-agent provides a foundation for building scalable and cooperative AI systems. -
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MiroFish
A Simple and Universal Swarm Intelligence Engine
MiroFish is a next-generation artificial intelligence prediction engine that leverages multi-agent technology and swarm-intelligence simulation to model, simulate, and forecast complex real-world scenarios. The system extracts “seed” information from sources such as breaking news, policy documents, and market signals to construct a high-fidelity digital parallel world populated by thousands of virtual agents with independent memory and behavior rules. -
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COLMAP
Structure-from-Motion and Multi-View Stereo
COLMAP is a general-purpose Structure-from-Motion (SfM) and Multi-View Stereo (MVS) pipeline with a graphical and command-line interface. It offers a wide range of features for the reconstruction of ordered and unordered image collections. The software is licensed under the new BSD license. -
Managed Cybersecurity Platform Built for MSPsIn a world that lives and breathes all things digital, every business is at risk. Cybersecurity has become a major problem for small and growing businesses due to limited budgets, resources, time, and training. Hackers are leveraging these vulnerabilities, and most of the existing cybersecurity solutions on the market are too cumbersome, too complicated, and far too costly.
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DeepSeek-V3
Powerful AI language model (MoE) optimized for efficiency/performance
DeepSeek-V3 is a robust Mixture-of-Experts (MoE) language model developed by DeepSeek, featuring a total of 671 billion parameters, with 37 billion activated per token. It employs Multi-head Latent Attention (MLA) and the DeepSeekMoE architecture to enhance computational efficiency. The model introduces an auxiliary-loss-free load balancing strategy and a multi-token prediction training objective to boost performance. Trained on 14.8 trillion diverse, high-quality tokens, DeepSeek-V3 underwent supervised fine-tuning and reinforcement learning to fully realize its capabilities. ... -
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SFML
Simple and Fast Multimedia Library
SFML provides a simple interface to the various components of your PC, to ease the development of games and multimedia applications. It is composed of five modules: system, window, graphics, audio and network. Discover their features more in detail in the tutorials and the API documentation. With SFML, your application can compile and run out of the box on the most common operating systems: Windows, Linux, macOS and soon Android & iOS. Pre-compiled SDKs for your favorite OS are available on... -
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OpenAI Agents SDK
A lightweight, powerful framework for multi-agent workflows
The OpenAI Agents Python SDK is a powerful yet lightweight framework for developing 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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GLM-5
From Vibe Coding to Agentic Engineering
...Building on earlier GLM series models, GLM-5 dramatically scales the parameter count (to roughly 744 billion) and expands pre-training data to significantly improve performance on complex tasks such as multi-step reasoning, software engineering workflows, and agent orchestration compared to its predecessors like GLM-4.5. It incorporates innovations like DeepSeek Sparse Attention (DSA) to preserve massive context windows while reducing deployment costs and supporting long context processing, which is crucial for detailed plans and agent tasks. -
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LiteMultiAgent
The Library for LLM-based multi-agent applications
LiteMultiAgent is a lightweight and extensible multi-agent reinforcement learning (MARL) platform designed for rapid experimentation. It allows researchers to design and test coordination, competition, and collaboration scenarios in simulated environments. -
ACI Learning: Internal Audit, Cybersecurity, and IT TrainingTraditional training doesn't equip employees with the practical skills they need to drive business success. ACI Learning provides hands-on IT and cybersecurity training designed to build real-world, on-the-job skills. Our outcome-based programs empower employees with certification prep, industry-recognized credentials, and flexible learning options. With expert-led video training, labs, and scalable solutions, we help businesses, individuals, governments, and academic institutions develop a skilled workforce, align with business goals, and stay ahead in a rapidly evolving digital world.
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Tenancy for Laravel
Automatic multi-tenancy for Laravel. No code changes needed
A flexible multi-tenancy package for Laravel. Single & multi-database tenancy, automatic & manual mode, event-based architecture. Integrates perfectly with other packages. stancl/tenancy is a flexible multi-tenancy Laravel package that comes with lots of features out-of-the-box and doesn't stand in your way when you need anything custom. Instead of forcing you to change how you write your code, the package by default bootstraps tenancy automatically, in the background. ... -
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PentestGPT
Automated Penetration Testing Agentic Framework Powered by LLMs
PentestGPT is an AI-powered autonomous penetration testing agent designed to perform intelligent, end-to-end security assessments using large language models. Published at USENIX Security 2024, it combines advanced reasoning with an agentic workflow to automate tasks traditionally handled by human pentesters. The platform supports multiple penetration testing categories, including web security, cryptography, reversing, forensics, privilege escalation, and binary exploitation. PentestGPT runs... -
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Big-AGI
AI suite powered by state-of-the-art models and providing advanced AI
Big-AGI is a comprehensive, open-source AI workspace built to serve as a powerful multi-model interface for developers, researchers, and professionals who want deep control over generative AI workflows and outputs. It unifies access to multiple large language models (LLMs) and AI services through a modern web UI that emphasizes efficient interaction, flexibility, and extensibility, enabling users to conduct multi-model chats, execute code, generate images, and perform voice or text-based tasks all in one place. ... -
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Intelligent stock analysis system
LLM-driven A/H/US stock intelligent analyzer
...It’s designed to produce a daily “decision dashboard” summarizing key insights such as core conclusions, precise entry/exit points, and checklists for potential trades, combining multi-dimensional technical analysis, market sentiment, chip distribution, and real-time price data. The system supports scheduled execution using GitHub Actions, enabling fully automated daily analysis and multi-channel notifications via platforms like Telegram, Enterprise WeChat, Feishu, email, and push services. Under the hood, it integrates multiple AI models (like Gemini and OpenAI-compatible models) and diverse market data sources (including AkShare, Tushare, and YFinance) to synthesize comprehensive reports. -
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Open AEA Framework
A framework for open autonomous economic agent (AEA) development
open-aea is an open-source framework for building autonomous software agents that can operate and interact independently on decentralized networks. Developed by Valory, it facilitates creating agents capable of economic transactions, communication, and smart contract interactions in Web3 ecosystems. -
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SwarmZero
SwarmZero's SDK for building AI agents, swarms of agents and much more
SwarmZero is an open-source platform designed for deploying and managing autonomous robot swarms. It enables collective coordination, decentralized decision-making, and real-time collaboration among large groups of autonomous agents, focusing on multi-robot systems and research in swarm robotics. -
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Kubeflow Trainer
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
Kubeflow Trainer is a Kubernetes-native platform designed for scalable, distributed training and fine-tuning of machine learning models, particularly large language models, across multi-node and multi-GPU environments. It extends the Kubeflow ecosystem by providing a unified framework for orchestrating training workloads using Kubernetes primitives, enabling seamless scaling from single-machine experiments to large production clusters. The platform supports a wide range of machine learning frameworks, including PyTorch, JAX, Hugging Face, DeepSpeed, and XGBoost, making it highly flexible for different AI use cases. ... -
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super-agent-party
All-in-one AI companion! Desktop girlfriend + virtual streamer
...The platform is primarily intended as a research and demonstration environment for experimenting with agent collaboration strategies. Developers can use it to study coordination patterns, communication protocols, and task decomposition in multi-agent systems. -
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Every Code
Local AI coding agent CLI with multi-agent orchestration tools
...It is a community-driven fork of the Codex CLI, with a strong emphasis on improving real-world developer ergonomics and workflows. Every Code enhances the traditional coding assistant model by introducing multi-agent orchestration, allowing multiple AI agents to collaborate, compare solutions, and refine outputs in parallel. It supports integration with various AI providers, enabling users to route tasks across different models depending on their needs. Every Code also includes browser integration and automation capabilities, extending its usefulness beyond simple code generation into more complex development tasks. ... -
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Terraform Examples and Modules for GC
End-to-end modular samples and landing zones toolkit for Terraform
...The project is designed to accelerate cloud adoption by offering opinionated yet flexible patterns aligned with Google Cloud best practices, helping organizations bootstrap their environments quickly while maintaining governance and scalability. It supports complex multi-project and multi-environment setups, making it suitable for large enterprises that require consistent infrastructure provisioning across teams. -
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Shelfmark
Web interface for searching and downloading books and audiobooks
...Formerly known as Calibre Web Automated Book Downloader, the platform aggregates content from web archives, torrents, Usenet, IRC, and metadata providers to create a centralized acquisition hub. It provides both direct search and metadata-driven discovery modes, enabling richer results and multi-source download workflows. Shelfmark includes a multi-user request system that allows shared instances where users can browse and request titles while administrators manage approvals and fulfillment. The application integrates smoothly with popular library tools such as Calibre, Calibre-Web, and Audiobookshelf for automated imports and organization. ... -
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Open ChatGPT Atlas
Open Source and Free Alternative to ChatGPT Atlas
Open ChatGPT Atlas is an open-source toolkit and interface for working with OpenAI’s ChatGPT models in a more extensible, adaptable, and composable way than standard web UIs allow. It provides an architecture where developers and power users can manage state, tool integrations, and multi-turn workflows with more control, enabling custom UIs, automation layers, and advanced routing logic. Unlike a fixed chat app, Atlas is designed as a foundation that can be extended with plugins, external APIs, and custom logic to support domain-specific assistants, agent-like behaviors, and multi-task workflows. The project includes utilities for session management to preserve context across interactions, structured interfaces for streaming responses, and integration layers that let you plug in third-party tools and services. ... -
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Agent Reinforcement Trainer
Train multi-step agents for real-world tasks using GRPO
Agent Reinforcement Trainer, or ART is an open-source reinforcement learning framework tailored to training large language model agents through experience, making them more reliable and performant on multi-turn, multi-step tasks. Instead of just manually crafting prompts or relying on supervised fine-tuning, ART uses techniques like Group Relative Policy Optimization (GRPO) to let agents learn from environmental feedback and reward signals. The framework is designed to integrate easily with Python applications, abstracting much of the RL infrastructure so developers can train agents without deep RL expertise or heavy infrastructure overhead. ... -
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Kubernetes Capsule
Multi-tenancy and policy-based framework for Kubernetes
Capsule implements a multi-tenant and policy-based environment in your Kubernetes cluster. It is designed as a micro-services-based ecosystem with a minimalist approach, leveraging only on upstream Kubernetes. Kubernetes introduces the Namespace object type to create logical partitions of the cluster as isolated slices. However, implementing advanced multi-tenancy scenarios, it soon becomes complicated because of the flat structure of Kubernetes namespaces and the impossibility to share resources among namespaces belonging to the same tenant. ... -
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PilottAI
Python framework for building scalable multi-agent systems
pilottai is an AI-based autonomous drone navigation system utilizing reinforcement learning for real-time decision-making. It is designed for simulating and training drones to fly safely through dynamic environments using AI-based controllers. -
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llmfit
157 models, 30 providers, one command to find what runs on hardware
...It provides both an interactive terminal user interface and a traditional CLI mode, enabling flexible workflows for different user preferences. llmfit also supports advanced configurations including multi-GPU setups, mixture-of-experts architectures, and dynamic quantization recommendations. By presenting clear performance estimates and compatibility guidance, the project reduces the trial-and-error typically involved in local LLM experimentation. Overall, llmfit serves as a practical decision assistant for developers who want to run language models efficiently on their own machines.
