learning-sdk-integration

npx skills add majiayu000/claude-skill-registry --skill learning-sdk-letta-ai-skills-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# Learning SDK Integration ## Overview This skill provides universal patterns for adding persistent memory to LLM agents using the Learning SDK through a 3-line integration pattern that works with OpenAI, Anthropic, Gemini, and other LLM providers. ## When to Use Use this skill when: - Building LLM agents that need memory across sessions - Implementing conversation history persistence - Adding context-aware capabilities to existing agents - Creating multi-agent systems with shared memory - Working with any LLM provider (OpenAI, Anthropic, Gemini, etc.) ## Core Integration Pattern ### Basic 3-Line Integration ```python from agentic_learning import learning # Wrap LLM SDK calls to enable memory with learning(agent="my-agent"): response = openai.chat.completions.create(...) ``` ### Async Integration ```python from agentic_learning import learning_async # For async LLM SDK usage async with learning_async(agent="my-agent"): response = await claude.messages.create(...) ``` ## Provider-Specific Examples ### OpenAI Integration ```python from openai import OpenAI from agentic_learning import learning_async class MemoryEnhancedOpenAIAgent: def __init__(self, api_key: str, agent_name: str): s