The problem
Traditional “AI trading bots” optimize for speed and opacity. When something goes wrong — a bad swap, a policy bypass, a runaway loop — there is no canonical artifact to replay. Logs are mutable. Rationale is prose. On-chain txs show what moved, not why it was authorized. For protocol teams, researchers, and auditors, that opacity is the blocker for production adoption of autonomous finance.What AMEO does
Every cognition cycle follows the same pipeline:- Observe — snapshot treasury balances, gas, and market signals from Mantle RPC and configured feeds.
- Reason — compile a structured action plan (with LLM or deterministic fallback) and hash the rationale.
- Policy — evaluate hard predicates outside the model; failed plans never reach signing.
- Execute — broadcast policy-approved transactions via the Mantle DEX adapter.
- Prove — emit
DecisionLoggedon an ERC-8004-inspired identity contract and optionally anchor the full reasoning blob on 0G Storage.
How it is different
Every action can be traced from thought to trade with cryptographic commitments at each layer.
Who it is for
- Protocol teams running treasury or agentic wallet programs on Mantle.
- Researchers studying policy-bound autonomous agents and verifiable cognition.
- Auditors and operators who need replay, not narration.

