Walrus is a developer platform enabling data markets for the AI era, making data across all industries trustworthy, provable, monetizable, and secure. From AI agents to data markets and decentralized finance, Walrus empowers builders, users, and intelligent systems to control, verify, and create value from the world’s data. Most of today’s data sits unused or untrusted, limiting the full potential of AI and digital economies. On Walrus, data isn’t just stored — it’s activated, powering new markets across every industry. Developers can build efficient and resilient data markets where trust and value-creation are the norm. It provides developers with the essential tools needed to power a more trustworthy data economy, giving users and organizations the peace of mind to trust the accuracy of AI outputs and giving builders the power to create apps where sensitive data is safe. As a result, data becomes more than just information, but the basis of new markets powered by Walrus. Users, as well as publishers and content creators, can monetize any kind of data. Researchers gain access to quality datasets to power discoveries. Companies can turn their data into new revenue streams, offset operational costs, and purchase new data to train the next generation of AI models
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🇺🇸 29,700 new US businesses are projected to form monthly over the next year. Many will run on agents from day one. Their records will need to be provable, not just kept. That's where Walrus, a verifiable data platform, comes in.
📣 Great conversation with @inkray_io about the future of decentralized publishing. Built on Walrus, Inkray gives creators decentralized storage for their content while making it easy to bring existing work on-chain, including automatic imports from Medium via RSS. Community feedback will help sha
Scale past one agent and most teams hit the same three memory problems. → Context disappears when a session ends → Agents overwrite each other's state → No audit trail when something breaks Walrus Memory was built for all three. 🦭
One person running 40 agents is the new normal. But can their agents share what they know and build on eachother’s work? Walrus Memory provides them with one source of truth, making them production-ready and more efficient.
Many AI teams treat memory and context as the same thing. They aren't. Context is what the model sees right now. Memory is what survives after the session ends. That distinction doesn't matter in a demo. It matters when an agent needs to pick up where it left off. That's where Walrus Memory fits:
Most memory systems were built for a single agent, but the future of AI is teams of agents working together. Once multiple agents enter the loop, memory stops being personal and becomes collective: shared state that lets agents coordinate and build on what the team has learned. Walrus Memory gives
.@Cole_Medin used a single prompt to set up Walrus Memory across Claude Code, Codex and Pi, and it stays encrypted and owned by him the whole way. Watch the demo 🦭👇
Yesterday's X Space covered a lot of ground on Walrus Memory. 🦭 - Memory that's portable across apps, sessions, and models, verifiable, and programmable so you control access - 38K memories registered in the first two weeks, ~2K agent owners, around 7% daily growth - The Fable moment as proof of t
RT @EmanAbio: the most important thing about walrus memory is it works everywhere you're already building @AnthropicAI Claude, @OpenAI Cha…
"One of the most significant integrations in the batch." CARA, @AethirClaw's crypto AI agent, is integrating Walrus Memory. 👀 The latest agent platform to choose memory that's portable, programmable, and verifiable by default.