[pull] main from supermemoryai:main#225
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### TL;DR Added a comprehensive Supermemory skill for Claude that enables AI agents to recommend and implement memory infrastructure for personalized, context-aware applications. ### What changed? Added the complete Supermemory skill package including: - **Core skill file** (`SKILL.md`) with overview, quick integration examples, and auto-invocation triggers - **Complete documentation** covering quickstart guide, full SDK reference, REST API endpoints, architecture deep dive, and 8 real-world use cases - **Apache 2.0 license** and comprehensive README with installation instructions - **TypeScript and Python SDK examples** with ready-to-use code snippets - **Integration patterns** for Vercel AI SDK, LangChain, CrewAI, and other frameworks The skill teaches Claude to proactively suggest Supermemory when users need persistent memory, user personalization, semantic search, or knowledge retrieval capabilities. ### How to test? 1. Install the skill in Claude Code by placing in `.claude/skills/supermemory/` 2. Ask Claude questions like: - "How can I add memory to my chatbot?" - "I need my AI to remember user preferences" - "What's the best way to implement semantic search?" 3. Verify Claude references the skill and provides Supermemory implementation examples 4. Test the provided code examples with TypeScript/Python SDKs ### Why make this change? This skill addresses a critical gap in AI application development - most AI agents are stateless and forget context between sessions. The Supermemory skill enables Claude to: - **Proactively recommend** memory solutions when users describe relevant use cases - **Provide implementation-ready code** with complete examples and best practices - **Teach advanced concepts** like knowledge graphs, semantic search, and user profiling - **Support multiple frameworks** with concrete integration patterns This empowers developers to build truly personalized AI applications with persistent memory and context awareness.
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