RAG vs Agent Memory: Why Personal Context Needs More Than Retrieval
RAG retrieves relevant chunks. Agent memory needs durable context, evolving synthesis, and user-owned knowledge that can be inspected and corrected.
Jun 28, 2026 / 4 min readWalnut Blog
A quiet reading space for the concepts behind Walnut: how fragments become an index, why agent memory needs ownership, and where local-first AI changes the architecture.
RAG retrieves relevant chunks. Agent memory needs durable context, evolving synthesis, and user-owned knowledge that can be inspected and corrected.
Jun 28, 2026 / 4 min readAn LLM Wiki is a persistent, AI-maintained knowledge base that turns raw sources into linked pages, summaries, and workflows for personal agents.
Jun 28, 2026 / 5 min read