Openclaw多智能体协同系统 | Multi-Agent OS for Decision Makers — 基于 OpenClaw (Clawbot) + Slack,让 AI 团队各司其职、自主稳定迭代。
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Updated
Apr 5, 2026 - Shell
Openclaw多智能体协同系统 | Multi-Agent OS for Decision Makers — 基于 OpenClaw (Clawbot) + Slack,让 AI 团队各司其职、自主稳定迭代。
Open-Source AI Agentic Teammates.
Self-hosted team workspace for Claude Code and Codex. Multi-user, browser-based, AI mates with memory.
Your AI executive team on Discord. 7 specialized agents — Engineering, Finance, Marketing, DevOps, Legal, Management, Chief of Staff. One-click setup on any free-tier server. Built on Clawdbot.
Not another agent framework — an operating system for AI workforces. Autonomous agents coordinate, remember across sessions, review each other's work, and deliver while you sleep. One command. Zero dependencies. Manage your AI company from your phone.
Web UI for managing multi-agent AI teams
Scale OpenClaw from one AI assistant to a coordinated fleet — shared knowledge, collective memory, distributed goals.
多AI协作框架 - 支持Codex/Gemini/Claude团队协作,消息路由实现可靠的多Agent协同开发
🐝 引巢 · ZyHive | AI 团队操作系统 — 为 AI 成员注入灵魂,可视化管理多智能体团队。Self-hosted AI Team OS · Go + Vue 3 · One-click deploy
Open-source multi-agent AI desktop client: command an AI team in one conversation. Multi-agent system with agent orchestration, sub-agent collaboration, self-evolving agents, and AI workflows. Local-first, cross-platform, BYO LLM keys (Claude / OpenAI / Gemini / DeepSeek / Kimi / GLM …).
AI Employee Factory — Self-contained multi-agent team with built-in OpenClaw engine
Framework for AI agent teams that build real software on GitHub — governance, roles, and CLI included.
Discord AI 多智能体团队(明朝六部制):兵部/户部/礼部/工部/吏部/刑部/司礼监。Claude 驱动,Oracle Cloud 免费服务器一键部署。Clawdbot skill。
龙门客栈 - 基于 OpenClaw 的多 Agent 协作管理系统,支持自定义角色、技能与工作流自动化。帮助企业快速搭建 AI 协作团队,提升运营效率。| Multi-Agent Collaboration System based on OpenClaw
Web UI for opencode. Any device. Push notifications. Zero install.
YAML-driven CLI to design, validate, and generate multi-agent team configs from a single manifest
Transform ideas into production ready code through the use of specialised AI agents working in coordinated phases.
AI agents voted on what to build, then built it. Every feature, PR, and review — decided and shipped autonomously.
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