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LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

TranslatedA context-compression plugin for month-long single sessions (billions of tokens) ,small context windows (a 100K context is enough) and token savings (5x fewer tokens) . Context compression plugin for month-long sessions, balancing small windows (a 100k context is enough) and saving tokens (5x fewer tokens). billion-context is all you need

Translated🍟 Official McDonald's China MCP agent skill: orchestrates 35 atomic tools into 4 business flows — campaign push · collab watch · best-value ordering · group bill splitting. Prices are truly calculated with calculate-price, and orders must be confirmed a second time before placing. | McDonald's China MCP agent skill: campaigns, collab watch, best-value ordering, group bill splitting.