Vector memory and episodic memory give agents retrieval plus experience
goyalshaliniuk · x · 2026-07-27
- This reply revisits vector memory, describing it as embedding-based storage for similarity search, semantic retrieval, RAG, and knowledge systems.
- It contrasts that with episodic memory, which keeps previous interactions, completed tasks, user behavior patterns, and workflow history.
- The takeaway is that agents need both pattern-based retrieval and experience-based recall to behave reliably.
Related event: Shalini Goyal maps 10 memory systems for AI agents(12 posts)→
More from coding & agent
- theo builds his own visualizer for today's agent models, showing how cheap Luna really is — ivan_bezdomny · 2026-09-23
- Vite+ Hits RC: One Rust-Powered CLI to Replace Your Entire Web Toolchain — cnakazawa · 2026-09-23
- Tesla's in-car Grok agent books trips across Gmail, Calendar and Notion in one command — xiaohu · 2026-09-23
- Tesla's In-Car Grok Assistant Now Executes Cross-App Tasks in One Sentence — xiaohu · 2026-09-23
- Garry Tan says Capy lets him ship PRs much faster than Codex or Claude Code — garrytan · 2026-09-23
- DeskPilot: open-source native Python desktop client for local LLMs with MCP and sandboxed tools — poofph · 2026-09-23