sympozium-ai/sympozium

Registry 信息

项目简介

Sympozium 是一个用 Go 编写的开源平台，允许您在 Kubernetes 上运行 AI 代理集群，并以智能方式管理您的集群。它利用 KubeClaw 和 OpenClaw 项目，提供通过智能自主代理管理 Kubernetes 资源的强大、可扩展解决方案。

要点

• 在 Kubernetes 上运行 AI 代理集群
• 智能集群管理
• 基于 KubeClaw 和 OpenClaw 项目构建
• 使用 Go 语言编写，性能可靠
• 开源且由社区驱动

使用场景

• 自动化 Kubernetes 集群管理
• 智能资源扩展与优化
• 基于 AI 代理的自我修复基础设施
• 复杂任务的多代理编排
• 通过智能工作流实现 DevOps 自动化

README 摘要

<p align="center"> <img src="logo.svg" alt="sympozium.ai logo" width="600px;"> </p> <p align="center"> <em> Agents don't need better prompts. They need shared situational awareness.<br> Sympozium is a <b>coordination layer</b> for multi-agent AI systems on Kubernetes &mdash;<br> selective permeability, structured handoffs, and shared memory.<br> Every agent is a Pod. Every policy is a CRD. Every execution is a Job.</em><br><br> From the creator of <a href="https://github.com/k8sgpt-ai/k8sgpt">k8sgpt</a> and <a href="https://github.com/AlexsJones/llmfit">llmfit</a> </p> <p align="center"> <b> This project is under active development. API's will change, things will break. Be brave. <b /> </p> <p align="center"> <a href="https://github.com/sympozium-ai/sympozium/actions"><img src="https://github.com/sympozium-ai/sympozium/actions/workflows/build.yaml/badge.svg" alt="Build"></a> <a href="https://github.com/sympozium-ai/sympozium/releases/latest"><img src="https://img.shields.io/github/v/release/sympozium-ai/sympozium" alt="Release"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue" alt="License"></a> </p> <p align="center"> <img src="demo.gif" alt="Sympozium dashboard" width="800px;"> </p> --- > **Full documentation:** [deploy.sympozium.ai/docs](https://deploy.sympozium.ai/docs/) > > **The problem this solves:** [The Sticky-Note Problem](https://axjns.dev/blog/sticky-note-problem) &mdash; why message-passing between agents breaks down, and what to build instead. --- ## The Problem Most multi-agent systems communicate through messages &mdash; strings of tokens that one agent serialises and another deserialises. A detection agent spots a threat while a containment agent takes the server offline for maintenance.

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