Memory
Short- and long-term memory that keeps agents in context across sessions.
10 posts
Introducing Memory Hooks
Monitor your agent's memory cycle, or intercept what it sees and stores.
Aug 4, 2026ArticleLong-term memory for AI agents: what it is and how to build it
Learn what long-term memory means for AI agents, why larger context windows fall short, which memory types matter, and how to design persistent retrieval.
Jul 25, 2026BlogAI Agent Memory: Persistence, Layers, and Tradeoffs
A definition of AI agent memory, including persistence, layers, and tradeoffs in Mastra.
Jul 21, 2026BlogIntroducing Memory Extractors for Mastra Agents
Extract structured data from agent conversations.
Jun 22, 2026ArticleAgent memory platform: how AI agents store, retrieve, and use context
Learn how an agent memory platform stores, retrieves, and applies context across sessions. Covers memory types, retrieval pipelines, tools, and evaluation.
Jun 22, 2026ArticleAgent memory: types, techniques, and implementation guide
Learn how agent memory works, from short-term buffers to observational recall. Explore types, engineering patterns, and production implementation strategies.
Apr 23, 2026BlogBuild Agents with Retrieval and Long-Term Memory Using Mastra and MongoDB
A tutorial on building a movie recommendation agent with vector search and Observational Memory — all on a single MongoDB Atlas cluster.
Feb 9, 2026BlogAnnouncing Observational Memory
A human-inspired memory system that scores ~95% on LongMemEval — with a completely stable context window.
Jul 17, 2025BlogYes, you can use RAG for agent memory
How we spent $8k to prove RAG isn’t dead
Feb 4, 2025BlogUsing Mastra's Agent Memory API
A technical guide to implementing agent memory in Mastra, covering storage, vector search, and context management
