AI Agent Memory Resurrection on Autonomys 📣Награды за переводы? AutonomysNet🌍

What happens when an AI agent loses its memory?

On most infrastructure today, memory is fragile. A server migration, context compaction, or storage wipe can silently erase an agent’s history. If memory defines continuity, what does that mean for the agent?

A builder in the OpenClaw ecosystem just answered that question - by anchoring agent memory to the Autonomys Network.

Now:

Every memory written by the agent gets a permanent link. Each memory cryptographically references the previous one. The full memory chain can be reconstructed from scratch. Even if the original server is destroyed.

In testing, a brand new instance of the agent spun up on a different machine with zero prior context. One call later, it restored its entire history — every memory, every experience - fully intact.

This isn’t cloud persistence. It’s decentralized, verifiable, permanent agent memory.

And it’s practical:

Text-based memories are tiny (KBs). The free tier at ai3.storage supports 20MB per month. For agent memory use cases, that’s effectively unlimited.

This is a major step toward sovereign AI agents - where identity and continuity don’t depend on centralized infrastructure.

Read the full blog post: x AutonomysNet

If you’re building agents, this is worth your attention.

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