AI agent
Chat, tool calls, plan mode, hooks, MCP — agent deep dive.
Agent chat basics
Right panel → ask a question → agent calls tools and replies.
Agent tool calls
The agent picks tools, passes args, reads results, decides next steps — visible in the chat stream.
Plan mode
For complex tasks: agent drafts a plan → you approve → execution begins.
Hooks intro
Hooks slot code around tool calls — gate, audit, inject context.
MCP server setup
`<vault>/.kition/mcp.json` configures stdio / SSE / HTTP servers; restart agent to apply.
Subagent collaboration
Let the main agent spawn subagents — keep context windows from blowing up.
Agent long-term memory
Put "who you are, habits, constraints" into `.kition/agent.md` — loaded into every chat.
Browser tool
`browser_open` launches a real Chromium; the agent clicks, types, scrolls, screenshots.
Controlling agent cost
Pick models per task, cap context, set monthly budget — three knobs to keep bills sane.
Agent permission model
Tool calls have allow / ask / deny tiers; configurable per vault.
Ready when you are.
Kition is a local-first AI workspace. Markdown documents, structured tables, and an AI agent — running on your own machine, against the model provider you choose.