Claude Skill

sympozium-ai/sympozium

Sympozium is an open-source Go platform to run a fleet of AI agents on Kubernetes and administer your cluster agentically. Built on KubeClaw and OpenClaw.

Overview

Stars472
Forks58
LanguageGo
Last pushed2026-05-06
Last synced2026-06-11
View on GitHub

Repository

Ownersympozium-ai
Repositorysympozium
Full namesympozium-ai/sympozium
Repo ID1,164,625,104

Install this Skill

git clone https://github.com/sympozium-ai/sympozium.git

Registry

Typemcp_server
Quality score85/100
Verificationreadme_parsed
Last verified2026-06-11
Platforms
ClaudeMCPOpenClaw
Capabilities
browserpdfmemoryimageterminalworkflowagenticagentic-aikubeclawopenclaw
Detected files
README.mddocsexamplespackage.jsontest
Config keys
PACKAGE_JSON

Summary

Sympozium is an open-source platform written in Go that enables you to run a fleet of AI agents on Kubernetes and administer your cluster agentically. It leverages the KubeClaw and OpenClaw projects to provide a robust, scalable solution for managing Kubernetes resources through intelligent, autonomous agents.

Chinese description

在Kubernetes上运行AI代理集群,以智能方式管理您的集群。

Key features

  • Fleet of AI agents running on Kubernetes
  • Agentic cluster administration
  • Built on KubeClaw and OpenClaw projects
  • Written in Go for performance and reliability
  • Open-source and community-driven

Use cases

  • Automated Kubernetes cluster management
  • Intelligent resource scaling and optimization
  • Self-healing infrastructure with AI agents
  • Multi-agent orchestration for complex tasks
  • DevOps automation with agentic workflows

README excerpt

<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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Data from GitHub. Synced on 2026-06-11