Announcement
Introducing Walrus Console
Walrus Console gives developers one place to upload files, manage access, and connect AI agents to their data, with every byte independently verifiable.
By Walrus Foundation
Tag
AI agents
How autonomous agents are built, deployed, and trusted — architecture patterns, infrastructure choices, and real-world lessons across industries and frameworks.
Announcement
Matterhorn and Walrus Bring Persistent Memory to AI-Assisted Blockchain Workflows
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: Verifiable Agent Answers, Built on Walrus Memory
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
Kraterion: S3 Storage You Actually Own, Built on Walrus
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
Builder story
Deploy by Suize: How an Agent Ships a Walrus Website End to End
Suize is an agent-first publishing service: one MCP tool call and one gasless payment turn a static build folder into a live, verified Walrus website.
By Daniel Daun
AI agents
Where to Store AI Agent Data?
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
What Is Context Engineering?
Context engineering is the design and management of information a model sees at runtime, including instructions, state, tools, retrieval, and recalled memory.
By Jessie Mongeon
Agent memory
How Do AI Agents Learn From Past Interactions?
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
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.
By Jessie Mongeon
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.
By Jessie Mongeon
Announcement
Astros and Walrus to Introduce Open Standard for Agentic Trading
The Walrus Verifiable Trading Standard (WVTS) is the foundation agentic trading has lacked: an open standard for trading records AI agents can verify.
By Walrus Foundation
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.
By Walrus Foundation