Trustless Agents can't work without Trustless Agentic Memory.
Your agent just made a million-dollar decision based on 'memories' it pulled from a vector database. A TEE attested that the computation was correct. But can you prove they used the right AI memory? Introducing Kinic-CLI: zkML powered Trustless Agentic Memory (zkTAM).
Your agent just made a million-dollar decision based on 'memories' it pulled from a vector database. A TEE attested that the computation was correct. But can you prove they used the right AI memory? Introducing Kinic-CLI: cryptographically powered Trustless Agentic Memory (zkTAM) w/zkML.
Once upon a time, in a kingdom called ERC-8004.. Wizards learned to summon Trustless Agents.
Not the old way - through reputation alone, or faith in factions. You could prove things now. Prove identity with NFTs. Prove execution with TEEs. Prove work with validators. The kingdom gave you three registries: one for Identity, one for Reputation, one for Validation. Any agent you created could register. Any agent could be found. Any agent could build trust without permission.
This changed everything.
When you summoned an agent to order pizza, it needed only reputation — like a low-level quest. When you summoned an agent for medical diagnoses, you could demand TEE attestation or zkML proofs — raid-level security. The trust was pluggable. The security scaled with the stakes. For the first time, your summons from different guilds could find each other and transact without pre-existing relationships. The cold-start problem was solved. Your agent economy was here.
But you wizards had forgotten something important. Something ancient about summoning agents! Something that would make all of this much more useful.
Trustless AI can't work without Trustless AI Memory
Your agents could always start from scratch, of course.
Every summoning, a blank slate. No context. No history. No learning. Just the task at hand and whatever you, the summoner, provided. This worked. It was simple. It was verifiable - there was nothing to verify except the computation itself.
But it also meant your agents were vanilla creatures. Memoryless. Unable to learn from past battles, unable to build on previous turns, unable to maintain any continuity across summonings. They had no +1/+1 counters, no experience, no memory of the battlefield. They were less agents and more stateless tokens that happened to run in TEEs.
So you gave them memory.
But the story always went the same way...
You summon an agent. You register it on ERC-8004. It builds reputation. Gets validated. A high-stakes client comes along - trusting your bot with serious gold. They check everything: reputation score, TEE attestation, validation responses showing 100/100. Everything checks out. They send the quest.
Your agent needs context. It queries its vector database for memories. An embedding model converts the query into vectors. The database returns the top-k results. Your summon, bound in its secure TEE circle, processes this context and decides. The TEE proves the computation was correct.
But here's what the TEE cannot prove: that those were the right memories. That the embedding model was honest. That the database returned what it should have, not what some corrupted entity wanted your agent to see.
The client verified the execution. But the memory layer you built? It remained a black box. And your agent just made a consequential decision based on memories it could not verify — memories that could have been corrupted, like a mind-controlled NPC feeding false intel.
This, I would argue, is where trust models break.
The Memory That Wasn't Yours
There was a second problem. Worse, perhaps.
Your agents's identity was onchain - an NFT you could transfer between decks. Its reputation traveled with it. But the memories? Those lived in Pinecone. In Weaviate. In whatever vector database you were renting. The embeddings came from OpenAI's API, or Cohere, or Voyage.
You did not own your agent's memory.
If you wanted to move to different infrastructure, you started from scratch. If your embedding provider changed their model, your memory layer was invalidated. If your vector database changed terms of service, your summon lost its context — like losing all its counters and auras.
You had decentralized identity. But memory — the thing that made your agents more useful — was locked in centralized towers controlled by others. It was as if you wizards had invented portable, sovereign creatures but required everyone to store their +1/+1 counters and experience in someone else's library.
This was not just philosophy. It was a barrier to what you were building. How can your agents operate across different battlefields if their memories are siloed? How can there be competition if switching means losing all their experience?
Payment Without Recall
Then came x402. Your agents could pay now - per API call, per inference, per data access. Instant USDC, like gold transferred between characters. No subscriptions. No disputes. Just clean micropayments for services rendered.
But the question remained: when your summon paid for memory retrieval, what was it buying?
It queried a vector database. Paid per request via x402. Received embeddings back. But without verifiable memory, there was no proof it received the correct loot for what it paid. The payment was trustless and instant. The service being purchased remained opaque — like trading gold for a mystery box from a sketchy vendor in Booty Bay.
This mattered because memory operations were not one-time spell casts. They were ongoing buffs that your summons needed constantly. Every retrieval. Every similarity search. Every embedding generation.
If you were building an economy where agents autonomously transacted for memory services, those memory operations needed to be as verifiable as the payments themselves.
Otherwise you had a choice: fresh level 1 agents that started from scratch on every quest, or agents with unverifiable memory purchased through trustless payment rails — like buying max-level characters with gear you couldn't inspect.
Neither was acceptable.
You needed memory your agents could prove. Memory they could own. Memory they could carry across servers.
You needed Trustless Agentic Memory.
Introducing Kinic-CLI
We've been grinding in the decentralized ML and AI memory space for months. My team has created Vectune — a vector database that runs directly on any WASM-based DA layer or blockchain. We control RAM usage and keep data within the DA layer using ideas from freshVamana. This means you can host and own your AI memory where you see fit. No more renting memory from centralized towers.
In Kinic-CLI, we default to the Internet Computer Protocol as the data availability layer for its feature set that supports this mission: cheap data storage, vetKey encryption, and cross-chain signing (tECDSA) gives the security and portability we need.
But here's where it gets interesting.
We're extending the open beta of our zero-knowledge machine learning (zkML) framework JOLT Atlas to tackle embedding models directly. This means you can run your own embedding model — or let others run it for you — all in a trustless, privacy-preserving manner. No more black box embeddings. No more trusting that the vectors you received were computed correctly. You can prove it. You can also prove that the vector DB contains the category of data that you say it does and make proofs about quality. Out tech enables a new AI memory economy!
Kinic-CLI supports Rust and Python. It allows you to:
- Create a decentralized memory store
- Add, delete, and update memories
- Generate verifiable embeddings with zkML
- Own your memory layer completely
This is Trustless Agentic Memory (zkTAM). Memory you can prove. Memory you can own. Memory you can carry across any infrastructure.
Want to try it? Here is the Kinic-CLI code (upvote please) -
ICME-Lab
DM me for prod tokens and start building trustless agent with real trustless agentic memory!