Claude Skill

oguzbilgic/agent-kernel

Agent Kernel is a minimal kernel that makes any AI coding agent stateful. Clone, point your agent, and go. Supports Claude Code, Codex CLI, and more.

Overview

Stars333
Forks39
LanguageUnknown
Last pushed2026-03-25
Last synced2026-07-02
View on GitHub

Repository

Owneroguzbilgic
Repositoryagent-kernel
Full nameoguzbilgic/agent-kernel
Repo ID1,189,287,055

Install this Skill

git clone https://github.com/oguzbilgic/agent-kernel.git my-agent

Registry

Typeopenclaw_skill
Quality score70/100
Verificationreadme_parsed
Last verified2026-06-14
Platforms
ClaudeOpenClawCodexCursor
Capabilities
memoryterminalagentic-aiagentsclaude-codecodex-cliopenclawopencode
Detected files
README.md
Install methods
  • git clone https://github.com/oguzbilgic/agent-kernel.git my-agent
  • npx kern-ai init my-agent
  • npx kern-ai tui
  • git clone https://github.com/oguzbilgic/agent-kernel.git another-agent

Summary

Agent Kernel is a minimal kernel designed to make any AI coding agent stateful. Clone the repository, point your agent to it, and start building state-aware AI workflows.

Chinese description

最小化内核,让任何AI编程代理具备状态管理能力。克隆、指向你的代理,即可开始。

Key features

  • Minimal kernel for stateful AI coding agents
  • Easy setup: clone and point your agent
  • Supports agentic AI workflows
  • Compatible with Claude Code, Codex CLI, and more

Use cases

  • Building state-aware AI coding assistants
  • Enhancing agentic AI with persistent context
  • Integrating with Claude Code for stateful sessions
  • Powering multi-step AI development workflows

README excerpt

# Agent Kernel The easiest way to create an AI agent. Clone, start, talk. Your agent remembers between sessions, takes notes, and builds on past work. No framework, no database — just three markdown files and a git repo. Works with any AI coding agent: OpenCode, Claude Code, Codex, Cursor, Windsurf, etc. > 🚀 **[kern-ai](https://github.com/oguzbilgic/kern-ai)** — a runtime built for agent-kernel. Daemon mode, Telegram, Slack, and one brain across every channel. `npx kern-ai init my-agent` ## Quick start **With any coding agent:** ```bash git clone https://github.com/oguzbilgic/agent-kernel.git my-agent cd my-agent opencode # or claude, codex, cursor, etc. ``` **With [kern-ai](https://github.com/oguzbilgic/kern-ai) (daemon + Telegram + Slack):** ```bash npx kern-ai init my-agent npx kern-ai tui ``` That's it. The agent reads the kernel, realizes it's new, asks who you want it to be. You tell it. It remembers. ## Memory structure ``` AGENTS.md ← kernel (generic, don't edit) IDENTITY.md ← who this agent is (agent maintains) KNOWLEDGE.md ← index of knowledge files (agent maintains) knowledge/ ← facts about the world (mutable) notes/ ← daily session logs (append-only) ``` Two kinds of memory: - **`knowledge/`** — State. Facts about how things are right now. The agent updates these when reality changes. - **`notes/`** — Narrative. What happened each session — decisions, actions, open items. Append-only. Never modified after the day ends. ## Why this works AI agents already read `AGENTS.md` (or `CLAUDE.md`, `.cursorrules`, etc.) as project instructions. This kernel uses that mechanism to teach the agent *how to remember*. The agent doesn't need a database, a vector store, or a custom framework. It just needs: - A fi

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Data from GitHub. Synced on 2026-07-02