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⚒️ How to build an AI agent with persistent memory? Watch Shaw Walters building an agent from scratch with elizaOS & showing how external, queryable memory based on OriginTrail gives agents context and extends their memory beyond a single session. 02:15 – Set up your first agent 08:55 –... show more

OriginTrail

91,121 subscribers

37,365 Aufrufe • vor 8 Monaten •via X (Twitter)

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3 Kommentare

Profilbild von AMIKO

AMIKOvor 5 Monaten

@shawmakesmagic @elizaOS Queryable external memory is the right pattern for agents that need to last. Pair that with a twin identity that travels between frameworks and the memory stops being trapped in one stack. Amiko + OpenClaw handles the portability half.

Profilbild von Hunter

Huntervor 8 Monaten

@shawmakesmagic @elizaOS Did @PolkabotAI have a token launched recently on moltbook called $polkabot? 0x2E652282BBed9A5478CADc3E22e2CEBA7895357A this is the Contract address on base

Profilbild von Dee_cryptogirlie

Dee_cryptogirlievor 8 Monaten

@shawmakesmagic @elizaOS My thoughts on this is that persistent memory really changes what AI agents can do. Content like this shows the technical side, while efforts at Argentum point to how these agents can scale in real systems.

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