Roadmap

Phase 1 — Core Infrastructure (Foundation)

Objective: Establish protocol architecture and memory framework.

• Development of Agent Memory Vault (ZK-hashed trade commitments)

• Perpetual DEX execution adapters (initial chain integration)

• Basic regime detection module (trend vs. chop classification)

• Deterministic mutation rule framework

• Testnet deployment of first-generation agents

• Smart contract audits

Outcome: Functional self-learning agents with persistent memory operating in controlled environments.

Phase 2 — Adaptive Intelligence Layer

Objective: Enhance learning sophistication and regime awareness.

• Expanded regime classification (panic, volatility compression, cascade events)

• Dynamic leverage and risk control models

• Mutation bounding governed by protocol parameters

• Performance lineage explorer dashboard

• Agent cloning mechanism (beta)

• Token utility activation (memory fees + cloning license)

Outcome: Fully autonomous adaptive agents with transparent learning evolution.

Phase 3 — Agent Ecosystem Expansion

Objective: Create a competitive evolutionary marketplace.

• Forkable agent architecture (branching from historical checkpoints)

• Cross-asset specialization modules

• Reputation scoring for agents

• Strategy lineage visualization tools

• DAO governance over learning constraints

• Cross-chain execution adapters

Outcome: Open ecosystem of competing, evolving agents with composable intelligence.

Phase 4 — Autonomous Intelligence Network

Objective: Transition into a self-organizing agent economy.

• Inter-agent learning collaboration primitives

• Evolutionary tournaments (performance-based ranking cycles)

• Cross-chain memory portability

• Agent strategy gene pools

• Institutional capital vault integrations

• Fully decentralized governance over mutation logic

Outcome: A persistent, self-sustaining network of AI agents that evolve continuously across market cycles.