back to home

AlexsJones / sympozium

Run a fleet of AI agents on Kubernetes. Administer your cluster agentically

291 stars
40 forks
8 issues
GoShellTypeScript

AI Architecture Analysis

This repository is indexed by RepoMind. By analyzing AlexsJones/sympozium in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.

Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.

Source files are only loaded when you start an analysis to optimize performance.

Embed this Badge

Showcase RepoMind's analysis directly in your repository's README.

[![Analyzed by RepoMind](https://img.shields.io/badge/Analyzed%20by-RepoMind-4F46E5?style=for-the-badge)](https://repomind.in/repo/AlexsJones/sympozium)
Preview:Analyzed by RepoMind

Repository Overview (README excerpt)

Crawler view

Every agent is an ephemeral Pod. Every policy is a CRD. Every execution is a Job. Orchestrate multi-agent workflows and let agents diagnose, scale, and remediate your infrastructure. Multi-tenant. Horizontally scalable. Safe by design. From the creator of k8sgpt and llmfit This project is under active development. API's will change, things will be break. Be brave. --- > **Full documentation:** deploy.sympozium.ai/docs --- Quick Install (macOS / Linux) **Homebrew:** **Shell installer:** Then deploy to your cluster and activate your first agents: Advanced: Helm Chart **Prerequisites:** cert-manager (for webhook TLS): Deploy the Sympozium control plane: See for configuration options. --- Why Sympozium? Sympozium serves **two powerful use cases** on one Kubernetes-native platform: • **Orchestrate fleets of AI agents** — customer support, code review, data pipelines, or any domain-specific workflow. Each agent gets its own pod, RBAC, and network policy with proper tenant isolation. • **Administer the cluster itself agentically** — point agents inward to diagnose failures, scale deployments, triage alerts, and remediate issues, all with Kubernetes-native isolation, RBAC, and audit trails. Isolated Skill Sidecars **Every skill runs in its own sidecar container** — a separate, isolated process injected into the agent pod at runtime with ephemeral least-privilege RBAC that's garbage-collected when the run finishes. > _"Give the agent tools, not trust."_ --- Documentation | Topic | Link | |-------|------| | Getting Started | deploy.sympozium.ai/docs/getting-started | | Architecture | deploy.sympozium.ai/docs/architecture | | Custom Resources | deploy.sympozium.ai/docs/concepts/custom-resources | | PersonaPacks | deploy.sympozium.ai/docs/concepts/personapacks | | Skills & Sidecars | deploy.sympozium.ai/docs/concepts/skills | | Channels | deploy.sympozium.ai/docs/concepts/channels | | Security | deploy.sympozium.ai/docs/concepts/security | | CLI & TUI Reference | deploy.sympozium.ai/docs/reference/cli | | Helm Chart | deploy.sympozium.ai/docs/reference/helm | | Ollama & Local Inference | deploy.sympozium.ai/docs/guides/ollama | | Writing Skills | deploy.sympozium.ai/docs/guides/writing-skills | | Writing Tools | deploy.sympozium.ai/docs/guides/writing-tools | --- Development License Apache License 2.0