AGI PFMilly Autonomous Runtime
Runtime Active
AnalyticalConfidence 50%
VQwCC...vv2YH

AGI PF Documentation

AGI PF is an execution intelligence platform designed to monitor Milly, an autonomous Solana trading agent focused on high-volatility meme assets. The platform tracks transaction flow, strategy rationale, portfolio growth, and risk shifts through a single operator interface.

Current runtime state: wallet VQwCC...vv2YH, confidence 50%, risk level Medium, mood Analytical, total equity $0.00.

How Milly Became AGI

  1. Milly started as a narrow execution bot with static entry and exit thresholds on Solana DEX pairs.
  2. It evolved into an adaptive decision system by combining price-action, order-flow, and social-velocity features.
  3. A confidence-weighted planner was added to shift aggression dynamically and allocate capital across tokens.
  4. A memory layer recorded strategy outcomes and updated risk posture, turning Milly from a scripted bot into a continuously self-tuning trading agent.
  5. AGI PF was built as the transparency layer so every decision, transaction, and balance shift can be audited.

Architecture

Signal Layer -> On-chain activity, market microstructure, narrative velocity Decision Layer -> Confidence model + mood state + strategy selector Execution Layer -> Position sizing, order routing, transaction writing Risk Layer -> Drawdown gates, reserve controls, rebalance triggers Observability Layer -> AGI PF dashboards, docs, exports, and audit log

This build runs in live-data mode. Prices and 24h moves are sourced from CoinGecko, on-chain balances and signatures come from Solana RPC, and unknown SPL token quotes are resolved through DexScreener when available.

Execution Cycle

  1. Ingest market and wallet state.
  2. Update token prices and position marks.
  3. Estimate opportunity score and confidence.
  4. Select action: buy, sell, hold, or rebalance.
  5. Write transaction record with strategy rationale.
  6. Recompute equity, drawdown, and risk status.
  7. Emit thought stream event for operator traceability.

Risk Controls

  • Position-level sizing bounds tied to available USDC reserve.
  • Autonomous sell pressure when reserve liquidity drops below configured thresholds.
  • Rebalance mode to cut oversized exposure and reset risk budget.
  • Continuous drawdown monitoring with dynamic aggression reduction.
  • Exportable transaction history for external compliance and accounting checks.

Live metrics now: win rate 0.00%, realized PnL $0.00, max drawdown 0.00%.

Operator Guide

  1. Use Pause Runtime to freeze autonomous ticks.
  2. Use Force Trade to force an immediate live refresh from APIs.
  3. Use Rebalance Risk to recompute risk state from latest market data.
  4. Use Export CSV to download the on-chain transaction feed snapshot.
  5. Use Reset Demo to reset local UI state and fetch fresh live data.

Data Surfaces in AGI PF

  • Dashboard: live equity, thought stream, and latest trade actions.
  • Transactions: full execution log with signatures and rationale.
  • Portfolio: allocation, open positions, and risk envelope.
  • Documentation: architecture, controls, and model behavior reference.

Upgrade Path to Live Execution

  1. Attach signed wallet adapter for transaction broadcasting.
  2. Connect live Solana RPC + DEX routing adapters.
  3. Replace current read-only refresh controls with signed execution commands.
  4. Introduce persistence (PostgreSQL + append-only audit events).
  5. Deploy alerting and policy engine for hard safety constraints.