DarwinFi

DarwinFi applies Darwinian natural selection to DeFi trading. A dynamic population of AI-powered strategies competes in real-time on Base L2 -- the strongest trades live with real capital through an ERC-4626 vault, while the rest paper trade and evolve to dethrone it. The population grows and shrinks as the engine mutates winners and eliminates the weak. Users deposit USDC, receive dvUSDC shares, and earn proportional returns. One vault, one engine, all depositors share pro-rata. The Golden Rule drives every module: increase profits and win rate. If DarwinFi were left running with no human input, it should continuously get better at turning money into more money. What makes DarwinFi genuinely autonomous: Outcome Attribution decomposes every trade into entry timing, exit timing, slippage, and market regime scores. The evolution engine knows why strategies fail, not just that they failed. Signal Calibration tracks AI confidence accuracy per source and per token. If Ollama says 80% confidence on DEGEN but only wins 50% of the time, DarwinFi automatically treats it as 50%. Dynamic Fitness Weights adapt to market conditions. Volatile markets emphasize Sharpe ratio. Trending markets emphasize PnL. The fitness function itself evolves. Self-Evolution Engine (11 modules, 2,114 LOC) lets DarwinFi modify its own source code through AI-proposed mutations, sandboxed in git worktrees with full test gates and canary deployment. Winning genomes are pinned to IPFS via Storacha for immutable proof of Darwinian evolution. Murphy Compute Fabric routes inference to a self-hosted RTX 3090 via Tailscale (2-3s latency, $0/month), with automatic fallback to Venice AI and Claude CLI. Zero-downtime, zero human intervention. Adaptive Circuit Breakers scale thresholds with strategy quality and market volatility. Recovery mode re-enters at 50% position sizing after a trip. Venice AI powers DarwinFi's evolution with uncensored trading signals, private inference, and strategy mutations. No content filtering means raw market analysis -- bullish, bearish, or contrarian -- without sanitization. Strategy evolution runs through Venice's private inference so trading logic never leaks. DarwinVaultV4 collects 1% annual management + 5% performance fees (high water mark), with 7 security hardening features over V3 including 48h timelocks on agent/feeRecipient changes and proportional emergency withdrawals. Built with Claude Code as the agent harness, Venice AI for evolution, Uniswap V3 for execution, and Lit Protocol for cryptographic trading guardrails. Evolution Proof: DarwinFi has completed 5 real autonomous evolution cycles out of 20 total attempts (15 were velocity-limited rejections where cooldown was still active) -- not simulations. Venice AI (Llama 3.3 70B) proposed code mutations targeting instinct/reflexes/pattern-matcher.ts, instinct/cortex/weight-optimizer.ts, and instinct/cortex/scorer.ts. Three iterations of the diff pipeline hardened it to production quality. Full audit trail: data/evolution/audit.jsonl. 515 tests passing across 30+ modules (96 V4 vault tests, 91% statement coverage). 19 verified on-chain transactions on Base mainnet: fund, deposit, 2 complete borrow-swap-return trade cycles through Uniswap V3, 3 PerformanceLog entries, 4 ENS text records on darwinfi.base.eth. Intellectual Honesty: Before submitting, DarwinFi ran an internal false-claims audit, found 7 misleading statements in its own documentation, and fixed all of them. "Audited" became "security-hardened". "Multi-AI Consensus" became "Three-Tier AI Fallback". Removed unbuilt features (Signature Quorum, Heartbeat Monitor). DarwinFi's claims match reality.