Etherpad: A modern really-real-time collaborative document editor.
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Updated
Oct 12, 2026 - TypeScript
Etherpad: A modern really-real-time collaborative document editor.
The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully peer-to-peer. Join from your browser or CLI.
🚀 MassGen is an open-source multi-agent scaling system that runs in your terminal, autonomously orchestrating frontier models and agents to collaborate, reason, and produce high-quality results. | Join us on Discord: discord.massgen.ai
The first open Federated Learning framework implemented in C++ and Python.
GEO 领域 AI 员工开源方案 · Open-source GEO AI-employee solution (MIT). GEO Skills package + curated lists of agents and office CLIs that make up the AI-employee stack.
Web app for teams of 20+ members. In-built connections to major LLMs via API. Share chats, prompts, and agents in team or private folders. Modern, fully responsive stack (Next.js, Node.js). Deploy your own vibe-coded AI apps, agents, or workflows or use ready-made solutions from the library.
Desktop and web workspace for lasting teams of coding agents, with shared conversations, task delegation, and collaborative memory.
Building up long-term memory as a distributed team or solo by collaborating with agentic AI.
MULLER: A Multimodal Data Lake Format for Collaborative AI Data Workflows
Mandali (मंडली) — Autonomous multi-agent adversarial collaborative system using GitHub Copilot SDK
Multi-agent adversarial debate engine with iterative rebuttals, scoring matrices, and consensus synthesis
Multi-agent adversarial debate engine with iterative rebuttals, scoring matrices, and consensus synthesis
Interactive multi-agent collaboration, meetings, group chats, and task execution for DeepSeek Harness.
"The Farmer Was Replaced – Codes" curates a collection of automation routines for the indie game *The Farmer Was Replaced*. Each script demonstrates a distinct strategy—ranging from resource farming and maze exploration to crop management—while remaining faithful to the publicly documented game API.
Manages distributed locks on resources and broadcasts change events to peer agents in shared workspaces
Manages distributed locks on resources and broadcasts change events to peer agents in shared workspaces
Centralized blackboard pattern for multi-agent swarm task posting, condition watching, and state accumulation
Centralized blackboard pattern for multi-agent swarm task posting, condition watching, and state accumulation
CHANGE is a Human-AI team collaborative problem solving game environment.
Distributed Multi-Agent AI Orchestration with Ollama - Advanced collaborative workflow with AST quality voting, TrustCall validation, and adaptive strategy selection
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