277: Why Web3 Needs AI Agents That Remember — Jan on OpenMind’s Vision
Description
Jan, founder of OpenMind, joins Sam to discuss how they're building a memory layer for AI agents in Web3.
They cover the limitations of stateless agents, OpenMind’s modular memory architecture, and how developers can build “smart, sovereign agents” that persist across time, dApps, and chains. Jan also shares insights on use cases across DeFi, NFTs, and DAOs, and how OpenMind is designing for both developers and end users.
If you're exploring the future of AI x Web3, this episode is packed with key insights.
Key Timestamps
[00:00:00 ] Introduction: Sam introduces Jan and OpenMind’s mission.
[00:01:00 ] Jan’s Background: Journey into Web3 and AI, and what led to founding OpenMind.
[00:02:30 ] Problem with Agents Today: Why stateless AI agents don’t work long term.
[00:04:00 ] What OpenMind Does: A memory infrastructure layer for AI agents in Web3.
[00:05:00 ] Modular Approach: Indexers, vector DBs, and plug-and-play architecture.
[00:06:00 ] Use Cases: Agents for DeFi, personalized NFT experiences, DAO workflows, and beyond.
[00:08:00 ] Developer Tools: APIs, SDKs, and how to get started building with OpenMind.
[00:09:00 ] Open vs Closed Memory: Why on-chain provenance and user control matter.
[00:11:00 ] Vision for AI Agents: Autonomous, persistent, and identity-aware.
[00:13:00 ] Why Web3 Matters: Data ownership, composability, and aligned incentives.
[00:15:00 ] OpenMind’s Ask: Builders, partners, and early adopters — reach out!
Connect
https://www.linkedin.com/company/openmindagi/
https://www.linkedin.com/in/jan-liphardt/
Disclaimer
Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/
United States
