/**
 * Chat Memory Skill
 *
 * Persistent memory and task history for the chat agent, backed by Dolt.
 * Adds tables to the existing .zibby/memory/ database (open/closed — does
 * not modify existing test memory tables).
 *
 * Inspired by OpenClaw's 4-layer architecture:
 *   Layer 1: Session context (chat history — handled by chat.js)
 *   Layer 2: Facts & context (this skill — chat_memory table)
 *   Layer 3: Session summaries (this skill — chat_sessions table)
 *   Layer 4: Search (this skill — memory_recall with SQL LIKE)
 *
 * Also tracks task history for cross-session persistence.
 */
export declare function _resetInitCache(): void;
export declare function _mem0DbPaths(cwd: any): {
    dir: string;
    vectorDbPath: string;
    historyDbPath: string;
};
export declare function _resolveMem0Config(cwd: any): {
    llm: {
        provider: string;
        config: {
            apiKey?: string;
            model: string;
            baseURL: string;
        };
    };
    embedder: {
        provider: string;
        config: {
            apiKey?: string;
            model: string;
            embeddingDims: number;
            baseURL: string;
        };
    };
    vectorStore: {
        provider: string;
        config: {
            dimension: number;
            dbPath: string;
        };
    };
    historyDbPath: string;
};
export declare function _resolveMemoryAdapter(cwd: any, context: any): Promise<any>;
export declare function _resolveMem0Infer(arg: any, cwd: any): Promise<any>;
export declare const chatMemorySkill: any;