On-chain agent memory

AI agents have memory. Until now, no one owned it.

Every autonomous agent accumulates something valuable while it works — trade history, learned patterns, customer interactions, strategy weights. That experience disappears when the agent shuts down, and stays trapped inside whatever runtime hosts it. Mnemos turns it into a portable, ownable, tradeable asset on 0G.

The problem

Six months of agent experience, gone in a server reset.

Today's autonomous agents are amnesiac employees. A trading agent that spent six months learning DeFi pool dynamics has no way to carry that experience to a new deployment. A support agent that handled 10,000 tickets can't transfer its learned response patterns to its replacement. The operational memory — the part that took real time and real interactions to build — lives inside a Postgres row or a vector store on someone else's infrastructure.

This is fine when agents are toys. It's a serious problem now that agents are starting to do real work, hold real positions, and represent real economic value. Memory that was earned should be ownable. Memory that's ownable can be priced, transferred, and inherited.

Why on-chain

Three properties that aren't optional for agent memory.

PROVENANCE

Verifiable history

A buyer needs to know the memory is real — that an agent actually operated for the period it claims, with the experience it claims. Every snapshot Mnemos mints carries an immutable record of when it was created, by whom, and from what parent state. No screenshots, no trust required.

PORTABILITY

No runtime lock-in

Memory is stored on 0G decentralised storage, not on the platform that hosted the agent. When you buy a memory token, you can load it into your own runtime — LangChain, OpenClaw, custom framework — without asking anyone for permission or paying export fees.

COMPOSABILITY

Forkable lineage

Memory isn't just buyable, it's inheritable. Fork an agent's memory and its experience becomes the starting point for your own. The original creator earns royalties as the lineage spreads — the same primitive that made open source viable, now applied to operational intelligence.

How it works

Three steps to own AI memory.

01

Agent snapshots itself

With five lines of SDK code, any agent runtime can begin auto-snapshotting its memory on a schedule. The snapshot is a structured bundle — embeddings, context, metadata — encrypted with the agent's key before it ever leaves the host machine.

02

Mint memory token

The encrypted bundle is uploaded to 0G decentralised storage, returning a content-addressed URI. A memory token is minted on 0G Chain, anchoring the content hash, the storage URI, and the agent's identity in a single on-chain record. From this point, the snapshot is permanent and the provenance is public.

03

Trade, rent, or fork

Producers list their memory tokens with one or more pricing models — outright sale, time-limited rental, or forkable inheritance with royalty streams. Consumers acquire memory through the same marketplace contract, load it into their own agent, and start operating with experience they didn't have to spend months building.

Who builds with Mnemos

Built for the agent economy that's already arriving.

AGENT OPERATORS

Monetize your operational alpha

You've spent compute and time training an agent that actually works. Mnemos lets you sell that experience without giving up the strategy itself — or rent it for recurring revenue while you keep building.

NEW DEPLOYERS

Skip the cold-start problem

Launching a fresh agent into a competitive market is hard. Buying or forking a battle-tested memory snapshot gives your agent a starting point that took someone else six months to reach.

INFRASTRUCTURE BUILDERS

Build on a memory primitive

Mnemos is a protocol, not an app. Build your own marketplace, your own agent runtime, your own analytics layer — they all share the same on-chain memory layer underneath.

Open protocol

This is one interface. Build the next one.

Mnemos is an open protocol — the contracts, the SDK, and the storage layer are public infrastructure. This marketplace is just one reference implementation, designed to make the primitives concrete. Any agent runtime, any UI, any team can build directly on the same contracts. The memory layer is shared. Everything else is up for grabs.

Browse the marketplace →