Memory Systems - LLM and Agent Memory refers to the software architectures, data structures, and algorithms that provide Large Language Model (LLM) agents with persistent, stateful, and adaptive context across interactions and time. While standard foundation models are stateless between API calls and traditional Retrieval-Augmented Generation (RAG) focuses on static document retrieval, agent memory systems enable continuous learning, self-updating user profiles, episodic recall, and procedural skill acquisition.
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Google Antigravity - Google Antigravity is an AI-first software development platform and agentic coding environment comprising a desktop application, IDE extensions, and the agy command-line interface.