Verifiable memory
What Is Data Verifiability, and Why Does It Matter for AI?
Verifiability lets you independently confirm your stored data is unaltered and available, without taking a provider's word for it.
The Walrus Blog
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.
Announcement
Blockticity Brings $7.7B in Authenticated Trade Records to Walrus
Blockticity is extending more than 1 million authenticated trade records, representing over $7.7 billion in real-world assets, onto Walrus, strengthening the verifiability of evidence supporting global trade
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.
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.
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
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.
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.
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.
Announcement
Bringing Walrus to the IPFS Ecosystem Through Lighthouse
IPFS builders can now store data on Walrus Protocol directly from Lighthouse – verifiable, high-performance storage with no migration or rewrite.
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
Announcing Predictable Pricing in USD on Walrus
Walrus moves to predictable USD pricing: $0.023/GB/mo for verifiable, decentralized storage. Paid in WAL, with cloud-level reliability built in.