Search Results for "task collaborative"
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Showing 50 open source projects for "task collaborative"
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DooTask is a lightweight, self-hosted collaborative task management and project planning tool designed for teams. It supports task assignment, progress tracking, and file sharing, all within a Kanban-style interface. Built with Laravel and Vue.js, DooTask offers flexibility and control for managing team workflows in both agile and traditional environments.
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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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METATRON
AI-powered penetration testing assistant using local LLM on linux
...Its architecture supports modular expansion and integration with different models. Overall, it enables the creation of collaborative AI ecosystems. -
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colleague-skill
Transform a cold separation into a warm Skill
colleague-skill is a specialized agent skill designed to simulate a collaborative teammate within AI-driven workflows, enabling agents to behave more like human colleagues in problem-solving scenarios. The project focuses on enhancing interaction quality by introducing role-based behavior, contextual awareness, and cooperative task execution. It allows agents to provide suggestions, feedback, and alternative approaches, mimicking real-world collaboration dynamics. -
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Melo
A spatial AI workboard for knowledge work
Melo is a multi-agent coordination framework designed to enable autonomous collaboration between AI agents in software development workflows. It provides a structured system where multiple models or agents can work together on tasks such as coding, planning, and debugging while sharing context and state. The platform introduces a coordination layer that manages task decomposition, assignment, and progress tracking through transparent systems like boards and structured communication. It... -
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HOTOSM Tasking Manager
The tool to team up for mapping in OpenStreetMap
Tasking Manager is a web platform developed by Humanitarian OpenStreetMap Team (HOT) to coordinate collaborative mapping projects. It divides mapping tasks into smaller sections that contributors can work on independently, streamlining efforts in disaster response, development planning, and humanitarian aid. -
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agent heroes
Generate, animate and schedule your AI characters
...The project emphasizes multi-agent systems where different agents are assigned roles, responsibilities, and tools, allowing them to interact and coordinate toward a shared objective. It provides abstractions for defining agent behavior, communication patterns, and task execution pipelines, enabling developers to build systems that go beyond simple prompt-response interactions. The framework is designed to integrate with modern large language models and external APIs, allowing agents to access tools, retrieve data, and perform actions dynamically. It also supports modular design, making it possible to extend agent capabilities or swap components without redesigning the entire system. agentheroes is particularly useful for automation, workflow orchestration, and experimentation with collaborative AI systems. -
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OpenWork
An open-source alternative to Claude Cowork, powered by opencode
OpenWork is a framework for building decentralized collaborative work environments powered by AI and human contributions. At its core, the project enables contributors to define tasks, workflows, and goals that can be split, shared, and recombined across distributed nodes while agents and humans cooperate to advance progress. It offers structured templates for work items, decision logic for task allocation, and consensus mechanisms that let groups verify and validate results toward shared objectives. ... -
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R1-V
Witness the aha moment of VLM with less than $3
R1-V is an initiative aimed at enhancing the generalization capabilities of Vision-Language Models (VLMs) through Reinforcement Learning in Visual Reasoning (RLVR). The project focuses on building a comprehensive framework that emphasizes algorithm enhancement, efficiency optimization, and task diversity to achieve general vision-language intelligence and visual/GUI agents. The team's long-term goal is to contribute impactful open-source research in this domain. -
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AG2
Framework for building and orchestrating multi-agent AI systems
AG2 is an open source framework designed to support the creation and coordination of multiple AI agents working together to solve complex tasks. It provides abstractions that allow developers to define agents with distinct roles, responsibilities, and communication patterns, enabling collaborative problem-solving workflows. AG2 focuses on making multi-agent systems more accessible by simplifying how agents are configured, connected, and executed. It includes mechanisms for agent-to-agent interaction, task delegation, and iterative reasoning, which are essential for building advanced AI-driven applications. AG2 is intended for developers experimenting with autonomous systems, research prototypes, or production-grade agent pipelines. ... -
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CrewAI
Framework for orchestrating role-playing, autonomous AI agents
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. The power of AI collaboration has too much to offer. CrewAI is designed to enable AI agents to assume roles, share goals, and operate in a cohesive unit - much like a well-oiled crew. Whether you're building a smart assistant platform, an automated customer service ensemble, or a multi-agent research team, CrewAI... -
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Team9
Team9 is a collaborative workspace for AI agents
Team9 is an AI-native collaborative workspace designed to deploy, manage, and coordinate autonomous agents as if they were members of a human team, enabling organizations to automate complex workflows with minimal setup. It builds on agent frameworks like OpenClaw and introduces a managed environment where agents can be assigned roles, share context, and execute tasks collaboratively. The system emphasizes a “local-first” architecture, allowing agents to run on user-controlled infrastructure... -
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OWL
Optimized Workforce Learning for General Multi-Agent Assistance
OWL (Optimized Workforce Learning) is a sophisticated open-source framework built on the CAMEL-AI ecosystem for orchestrating teams of AI agents to collaboratively solve complex, real-world tasks with dynamic planning and automation capabilities. Unlike single-agent systems, it treats task completion as a collaborative workforce where agents take on specialized roles (planning, execution, analysis) and coordinate via a modular multi-agent architecture that supports flexible teamwork across domains. OWL delivers state-of-the-art performance on benchmarks like GAIA and emphasizes real-time decision-making, web automation, rich search integration, document parsing, and multi-tool workflows, making it suitable for tasks ranging from information retrieval to interactive automation. -
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StableSwarmUI
Multi-user UI for managing and running Stable Diffusion workflows tool
StableSwarmUI is a web-based interface designed to manage and coordinate Stable Diffusion image generation workflows in a multi-user environment. It focuses on enabling multiple users to interact with shared resources, making it suitable for collaborative or server-based deployments. It provides a centralized system where users can submit, monitor, and manage generation tasks through a browser interface. It abstracts much of the complexity involved in running diffusion models by offering a... -
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clawchief
Turn your OpenClaw into a Chief of Staff
clawchief is an agent orchestration and management layer designed to coordinate and control multiple AI agents within structured workflows, acting as a central authority that assigns tasks, monitors execution, and ensures coherence across complex operations. The system is built around the idea of hierarchical control, where a “chief” agent oversees subordinate agents and directs their activities based on high-level objectives. This approach allows for more predictable and organized... -
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Claude Octopus
Put up to 8 AI models on every coding task
...The plugin supports multiple providers and model types, enabling flexible combinations of local and cloud-based models. It emphasizes collaborative intelligence, where models effectively act as reviewers of each other’s work. Overall, Claude Octopus enhances reliability and decision-making by introducing redundancy and diversity into AI-assisted coding. -
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Claude Code Game Studios
Turn Claude Code into a full game dev studio
Claude Code Game Studios is a creative project that leverages AI coding agents to generate and manage game development workflows, effectively turning AI into a collaborative game studio assistant. The repository provides a structured environment where AI agents can be tasked with designing, coding, and iterating on game projects using natural language instructions. It emphasizes automation in game development, allowing users to delegate tasks such as asset creation, gameplay logic, and... -
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Magentic UI
A research prototype of a human-centered web agent
Magentic-UI is a research prototype developed by Microsoft that serves as a human-centered interface powered by a multi-agent system. It enables users to automate complex web tasks, such as browsing, form filling, and data analysis, while maintaining control over the process. The system emphasizes transparency and user involvement, making it suitable for tasks requiring both automation and human oversight. -
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Loomio
Make better decisions together
Making important decisions is critical for any business or organization to succeed. However, making wise decisions as a group can be quite the challenge, especially if these decision makers aren't in the same location. Loomio is the solution for such businesses and organizations. It is a collaborative decision-making tool that makes it easy for anyone to participate in decisions, and helps groups make the best decisions together. No need for tedious meetings and endless email chains-- with... -
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CodeMachine
CLI tool for multi-agent workflows and automated code generation
CodeMachine CLI is a command-line orchestration engine designed to run coordinated multi-agent workflows locally. It enables developers to transform high-level specifications into production-ready code by managing planning, architecture, implementation, testing, and validation within a unified environment. CodeMachine CLI supports parallel execution through multiple specialized agents, allowing faster development cycles and scalable automation. Built for flexibility, it can handle anything... -
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Agency Agents
A complete AI agency at your fingertips
Agency Agents is a framework focused on orchestrating multiple AI agents that collaborate to complete complex tasks through structured coordination. It is designed around the idea of “agency,” where each agent has a defined role, responsibility, and interaction pattern within a larger system. The framework enables developers to define workflows where agents communicate, delegate tasks, and share context, creating a distributed problem-solving environment. It supports modular design, allowing... -
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ClawTeam
ClawTeam: Agent Swarm Intelligence (One Command → Full Automation)
ClawTeam is an advanced multi-agent orchestration framework that enables AI agents to form collaborative swarms capable of solving complex tasks autonomously. Instead of relying on a single agent, the system allows a leader agent to spawn and coordinate multiple specialized sub-agents, each responsible for different aspects of a problem. These agents communicate, share insights, and dynamically adapt their strategies based on real-time feedback, creating a form of collective intelligence.... -
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Open X-Embodiment
Unified open dataset enabling cross-embodiment learning for robotics
Open X-Embodiment is a large-scale collaborative initiative led by Google DeepMind to unify robotic learning datasets into a consistent and standardized format, simplifying access and usage across the robotics research community. Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. This enables seamless integration for training, evaluation, and model development across... -
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Swarms
Enterprise multi-agent orchestration framework for scalable AI apps
Swarms is an enterprise-grade multi-agent orchestration framework designed to help developers build, manage, and scale collaborative AI systems composed of multiple agents. It provides a structured infrastructure for coordinating agents in hierarchical, parallel, or sequential workflows, enabling complex task execution across distributed components. It emphasizes production readiness, offering modular architecture, high availability, and observability features suitable for large-scale deployments. ... -
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Elixir Companies
A list of companies currently using Elixir in production
elixir-companies is a community-maintained directory of organizations that use Elixir in production. It serves both as a discovery tool for developers curious about who is adopting the language and as a hiring signal for companies wishing to reach the Elixir community. The site categorizes entries by region, industry, and hiring status, making it easy to browse or filter by interests and location. Contributions are handled publicly via pull requests, with maintainers reviewing updates to...
