Product updates, tutorials, deep dives, and builder stories – everything published on building with Walrus Memory.
Announcement
Matterhorn is storing its AI agents' project memory on Walrus, so developers building blockchain apps in natural language keep their context across sessions and teams.
By Walrus Foundation
Builder story
Carry adds a proof and access layer on top of Walrus Memory, so every answer carries a verifiable receipt of what an agent remembered and whether it was authorized to use it.
By Daniel Daun
Builder story
A drop-in S3 API where every file is a Walrus blob in your own onchain pool, sealed so the platform can't read it and revocable in a single transaction.
By Daniel Daun
AI agents
No single database model answers every question about agent data. Match each kind to the store built for it, and give durable memory its own layer.
By Jessie Mongeon
Agent memory
AI agents learn from past interactions by storing what happened and retrieving it later, not by retraining the model after every conversation.
By Jessie Mongeon
Tutorial
Claude Code remembers your project, but only on one machine. Walrus Memory makes agent memory portable across Codex, Cursor, and your own agents.
By Jessie Mongeon
Analysis
What AI agent memory is, why memory debt compounds, and how a portable memory layer keeps agents from starting at zero.
By Walrus Foundation
Product update
Carry context across apps and sessions, coordinate across agents, and own your memory. Walrus Memory plugs into AI platforms, frameworks, and your stack.
By Walrus Foundation
Product update
A new Walrus Memory plugin gives NemoClaw and OpenClaw agents portable, verifiable memory across runs, teams, and environments.
By Walrus Foundation
Product update
Walrus Memory is the portable, verifiable memory layer for AI agents. Persist conversations, checkpoints, and reasoning across sessions. Now in beta.
By Walrus Foundation
