by sympozium-ai · Codex Skill · ★ 472
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Agents don't need better prompts. They need shared situational awareness. Sympozium is a coordination layer for multi-agent AI systems on Kubernetes — selective permeability, structured handoffs, and shared memory. Every agent is a Pod. Every policy is a CRD. Every execution is a Job. From the creator of k8sgpt and llmfit This project is under active development. API's will change, things will break. Be brave. Full documentation: deploy.sympozium.ai/docs The problem this solves: The Sticky-Note Problem — why message-passing between a
| Stars | 472 |
| Forks | 58 |
| Language | Go |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 38.75/100 |
| Open Issues | 12 |
| Last Updated | 2026-05-06 |
| Created | 2026-02-23 |
| Platforms | go, k8s |
| Est. Tokens | ~4262k |
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sympozium is Run a fleet of AI agents on Kubernetes. Administer your cluster agentically. It is categorized as a Codex Skill with 472 GitHub stars.
sympozium is primarily written in Go. It covers topics such as agentic, agentic-ai, kubeclaw.
You can find installation instructions and usage details in the sympozium GitHub repository at github.com/sympozium-ai/sympozium. The project has 472 stars and 58 forks, indicating an active community.
sympozium is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to sympozium on Agent Skills Hub include sympozium, NagaAgent, awesome_ai_agents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.