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Part of Context → Summarization techniques

Mastra Observational Memory

Use background agents to maintain a dense observation log that replaces raw message history. Keeps context small while preserving long-term memory.

agentsadvanced

Interactive Demo Coming Soon

The mastra-observational-memory pattern demo is being prepared.

Download the pattern to try it with your API key

Install this lab

Option 1: shadcn CLI

pnpm dlx shadcn@latest add https://ai-sdk-patterns.vercel.app/r/mastra-observational-memory

Option 2: Copy or download

Use cases

Custom Applications

Adapt this pattern for your specific use case and requirements.

Learning & Prototyping

Use this pattern to learn AI SDK concepts and prototype new ideas.

Related labs

Mastra Memory

Add conversation memory to agents with message history, working memory for user preferences, and semantic recall.

Mastra Agent

Create a Mastra agent with tools, register it in a Mastra instance, and call it with generate() or stream().