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// 59d agoPRODUCT UPDATE
Autonomous AI Trading Lab Adds Episodic Memory
The project now stores bugs, decisions, and principles in a JSON episodic-memory log instead of a RAG or vector-store layer, and RayoBot plus Darwin consult it before acting. It also added performance-based capital allocation and a Tivoli Constitution that kills products without traction in 30 days or sales in 60.
// ANALYSIS
This is less a trading bot than a self-governing agent stack, and that governance layer is becoming the real product.
- –A JSON log is a cheap, explicit memory layer that preserves context without forcing a premature retrieval system.
- –Species Capital Allocation makes the system adaptive: mean_reversion's 2.02 PF earns 1.5x capital instead of a flat split.
- –The Tivoli Constitution is a useful antidote to optimism, because product survival now depends on measurable traction.
- –The downside is obvious: hard kill rules can prune slow-burn ideas before they have time to compound.
// TAGS
agentautomationreasoningautonomous-ai-trading-lab
DISCOVERED
59d ago
2026-03-29
PUBLISHED
59d ago
2026-03-29
RELEVANCE
8/ 10
AUTHOR
piratastuertos