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@phren/cli

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Knowledge layer for AI agents - CLI, MCP server, and data layer

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import { type ProjectEntry } from "./authority.js"; /** The harness whose shell this is, when an agent runs the command. */ export declare function agentShell(env?: NodeJS.ProcessEnv): string | undefined; export interface OwnerTerminal { env: NodeJS.ProcessEnv; interactive: boolean; ask: (question: string) => Promise<string>; } /** Changes are the owner's: refused in an agent's shell or without a * terminal, and made only after the owner types the project name. */ export declare function ownerConfirms(change: string, project: string, terminal: OwnerTerminal): Promise<void>; /** The entry `set` saves: the current one with the flags applied. */ export declare function mergedEntry(current: ProjectEntry | undefined, values: { default?: string; go?: string; ask?: string; "max-permission-mode"?: string; note?: string; }): ProjectEntry; export declare function runAuthority(args: string[], terminal?: OwnerTerminal): Promise<number>;