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Team"},"license":"MIT","homepage":"https://github.com/dh7/mindcache#readme","keywords":["ai","llm","memory","agent","typescript","vercel-ai-sdk","nextjs","key-value","storage","context","cloud","real-time"],"repository":{"type":"git","url":"git+https://github.com/dh7/mindcache.git"},"description":"A TypeScript library for managing short-term memory in AI agents through an LLM-friendly key-value repository","maintainers":[{"name":"damienhenry","email":"dh7777777@gmail.com"}],"readme":"# MindCache\n\nA TypeScript library for managing short-term memory in AI agents through an LLM-friendly key-value repository.\n\n## Documentation\n\n*   **[API Reference](./docs/mindcache-api.md)**: Detailed method signatures and type definitions. Optimized for AI agents (like Cursor, Claude, etc.) to understand the library's capabilities.\n*   **[Full Documentation](https://mindcache.dev/llms-full.txt)**: Comprehensive guide with examples and deep dives.\n\n## Quick Start\n\n```typescript\nimport { MindCache } from 'mindcache';\n\nconst mc = new MindCache();\n\n// Store values with LLM access\nmc.set_value('userName', 'Alice', { \n  systemTags: ['SystemPrompt', 'LLMRead', 'LLMWrite'] \n});\n\n// Generate tools for Vercel AI SDK\nconst tools = mc.create_vercel_ai_tools();\n\n// Or for other frameworks (OpenAI, Anthropic, LangChain)\nconst rawTools = mc.create_tools();\n```\n\n## Custom Types (v3.6+)\n\nDefine structured schemas for consistent LLM output:\n\n```typescript\n// Register a custom type with Markdown schema\nmc.registerType('Contact', `\n#Contact\n* name: full name\n* email: email address\n* phone: phone number\n`);\n\n// Assign type to a key\nmc.set_value('contact_alice', JSON.stringify({ name: 'Alice' }));\nmc.setType('contact_alice', 'Contact');\n```\n\nSee the [root README](../../README.md) for more details.\n","readmeFilename":"README.md"}