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rayQu
rayQu

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Trustless Trading Agents with zkAGI

Oasis just dropped an interesting blog post on zkAGI trading agents — basically combining AI agents with zero-knowledge proofs for trustless trading.

Key takeaways:

  • AI + ZK → Agents can make trading decisions while proving correctness without exposing sensitive data.
  • Trustless coordination → Removes the need to rely on centralized intermediaries or opaque black-box models.
  • Developer angle → They’re opening the door for devs to build on top of these primitives, potentially enabling things like automated DAOs, onchain funds, or adaptive liquidity protocols.
  • Privacy-preserving infra → Built on Oasis’s framework, so data privacy is baked in.

Seems like a big step toward making autonomous onchain agents both practical and verifiable.

Full post here: https://oasis.net/blog/zkagi-trustless-trading-agents

What do you all think — is this the future of onchain trading, or too early for AI agents to really handle capital?

Top comments (3)

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savvysid profile image
sid •

Solid share, zkAGI feels like one of those projects that moves “AI agents in DeFi” from theory into something concrete. The combo of ZK & TEEs is what makes it interesting, since it tackles both verifiability and privacy at once. The real test will be adoption — whether traders and protocols actually trust agents with capital.

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adityasingh2824 profile image
Aditya Singh •

Really cool read zkAGI’s approach to trustless trading agents feels like a missing piece in Web3 automation. Encrypt decision logic + prove correctness = combining privacy + accountability.

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