Agent Kernel

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:**

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):**

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 file that says "you are stateful, here's how"
• A git repo to store memory in
• Plain markdown files

Multiple agents

Each agent is its own repo. To create another:

git clone https://githu