Implement persistent memory and enriched user context for agent#608
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Memory package (memory/memory.go): Per-user key-value store that persists across sessions. The agent remembers preferences, interests, and facts the user shares. Stored in memory.json, capped at 50 entries per user. API: Set, Get, All, Delete, Clear, ForContext (formatted for prompt injection). Cleared on account deletion. Memory extraction: After each agent query, extractMemory checks if the user's prompt contains something to remember (triggered by keywords like "remember", "I like", "I prefer", "I live in"). If detected, a background LLM call (BackgroundModel) extracts a key-value pair and saves it. Next query, the agent sees it in its context. Enriched user context: The agent's synthesis prompt now includes: - Unread mail count - Wallet balance - Market prices (BTC, ETH, SOL, GOLD, OIL with 24h change) - All saved memories markets.TopMovers(n) returns a compact string of top tracked assets with prices and 24h changes. The agent introduces itself as "Micro, a personal AI assistant" and has genuine awareness of the user's state — mail, money, markets, and what they've told it to remember. https://claude.ai/code/session_01GRGLA9yj7BpqKiyi6xFwnm
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