by oguzbilgic · Codex Skill · ★ 53
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
kern Agents that do the work and show it. Agents that run on your machine, use real tools, remember everything, and publish their own dashboards. Not chatbots — autonomous workers with one brain across every channel. Why kern One brain, every channel — terminal, browser, Telegram, Slack, Matrix feed into one session. The agent knows who's talking, what channel it's in, and what happened 10,000 messages ago. Memory that compounds — conversations segmented by topic, summarized into a hierarchy, compressed into context. Semantic recall over everything. The agent gets better the longer it runs. Agents build their own UI — dashboards with live data, served from the agent, displayed in a side panel. Not chat — real interfaces that update themselves. Your infra, your data — runs on your laptop, server, or homelab. The whole agent is a git-tracked folder. Pay only for API tokens — or use Ollama for fully local, zero-cost inference. kern pairs with agent-kernel — the kernel defines how an agent remembers, kern runs it. Quick start Docker bash Run an agent docker run -d --restart=unless-stopped \ -p 4100:4100 \ -v my-agent:/home/kern/agent \ -e OPENROUTERAPIKEY=sk-or-...
| Stars | 53 |
| Forks | 9 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 72.3447956028588/100 |
| Open Issues | 61 |
| Last Updated | 2026-06-24 |
| Created | 2026-03-24 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~16k |
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kern-ai is Agents that do the work and show it.. It is categorized as a Codex Skill with 53 GitHub stars.
kern-ai is primarily written in TypeScript. It covers topics such as agent-kernel, agentic-ai, agents.
You can find installation instructions and usage details in the kern-ai GitHub repository at github.com/oguzbilgic/kern-ai. The project has 53 stars and 9 forks, indicating an active community.
The top alternatives to kern-ai on Agent Skills Hub include agent-skills, claude-code-teams-mcp, grace-marketplace. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.