like-me-like/integrations

Like Me Like — integrations is a repo of open-source recipes to connect Like Me Like (a cross-domain taste-recommendation API) to AI agents, chat apps, and developer toolchains. It’s aimed at developers embedding taste recommendations into Claude (Desktop/Skills), OpenClaw, Hermes, ChatGPT Custom GPTs, Gemini, Grok, LangChain/Autogen, or any HTTP-capable agent. Key contents and features: - Per-platform integration folders, API docs (OpenAPI), and curl/Node/Python examples. - Base API: https://www.likemelike.com/api/v1/; requests require X-LML-Agent-Id (per-end-user identifier). Each agent ID gets 10 free calls; subsequent calls require payment. - Two non-custodial payment rails: x402 (USDC on Base) and L402/Lightning. - Integration patterns: MCP endpoint for MCP-aware hosts, OpenAPI/function-calling for Custom GPTs/Gemini/Grok, /api/v1/chat for simple HTTP usage. - Signals and best practices: pass liked_items for personalization, read agent_calibration on every response, and keep SKILL.md skill versions in sync.

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