Agent memory
How Do AI Agents Store Long-Term Memory?
AI agents store long-term memory in an external system that saves selected information outside the model, then retrieves it into the context window when it's relevant.
Agent memory
Concepts, architecture, and open questions around persistent memory for AI agents – from stateless sessions to portable, multi-agent memory systems.
Agent memory
Why do AI agents lose memory between sessions?
AI agents lose memory between sessions because LLM calls are stateless, where each request is processed on its own with no record of the ones before it.
Tutorial
How to Give Claude Code Memory That Follows You Across Tools?
Claude Code remembers your project, but only on one machine. Walrus Memory makes agent memory portable across Codex, Cursor, and your own agents.
Analysis
Agentic Memory Debt: Why Your Agents Keep Accumulating It
What AI agent memory is, why memory debt compounds, and how a portable memory layer keeps agents from starting at zero.
Product update
Take Your Agent’s Memory Anywhere: Introducing Walrus Memory
Carry context across apps and sessions, coordinate across agents, and own your memory. Walrus Memory plugs into AI platforms, frameworks, and your stack.
Product update
How Do You Add Portable Memory to NemoClaw and OpenClaw Agents?
A new Walrus Memory plugin gives NemoClaw and OpenClaw agents portable, verifiable memory across runs, teams, and environments.
News
Walrus is one. The agentic web is what’s next
How Walrus grew in 2025 — Mainnet, new features, and the beta launch of Walrus Memory for AI agents.
Product update
Walrus Memory: How to Give AI Agents Persistent, Verifiable Memory?
Walrus Memory is the portable, verifiable memory layer for AI agents. Persist conversations, checkpoints, and reasoning across sessions. Now in beta.