Persistent Memory Compounds Insights Beyond Daily Scans

Stateless AI agents produce mechanical watchlists without strategic depth; Karpathy’s LLM Wiki fixes this by maintaining an evolving research/index.md file as a "brain." This append-only artifact cross-links tickers and events—for example, linking Strait of Hormuz news to $VST margins via Amazon PPA deals. Setup uses Hermes Agent with custom skills, GLM-5-Turbo model, and auto-organizes content from Karpathy’s gist. Result: agent evolves from freshman intern (basic ticker lists) to analyst spotting asymmetric trades, like $LMND’s 4/9 Asymmetry Score due to shrinking surprise percentage and market pricing in perfection.

Feed it your watchlist and prompts like "hunt for asymmetric plays," then layer macro context: connect tickers to interest rates, hyperscaler AI CAPEX, supply chain bottlenecks. Recursive improvements prompt the agent: "You’re an analyst for asymmetric trades... constantly improving... hunting new opportunities."

Multi-Layer Pipeline Filters Signals into Conviction

Run daily at 7:45 AM:

  1. Signal Scanner: Scrapes 24h tweets from thesis-driven accounts (e.g., @aleabitoreddit, @midascabal)—supply chain experts, not shillers.
  2. Noise Filter: Extracts cashtags, classifies by Conviction Hierarchy—Conviction (strong thesis), High Signal (unusual activity), Watchlist (needs pullback/data). Ignores "I called this at $X" boasts.
  3. Convergence Engine: Flags multi-source alignment, e.g., $INTC CPU-to-GPU ratio or $SIVE InP lasers across accounts.
  4. Persistent Wiki: Builds cross-linked research, incorporating multimodal inputs like YouTube/podcast transcripts and new X follows (agent pushed back on @pelositracker for lacking thesis depth).

Expands via Recursive Source Discovery: Hunts non-shilling accounts mapping supply chains. Pressure-test stocks like $LMND yields contrarian analysis, rejecting hype.

Actionable Build Principles for Compounding Agents

Ditch single-prompt tools; build stateful systems:

  • Create a Log: Append-only timeline of research.
  • Force Cross-Linking: Explain New Ticker A’s impact on Thesis B.
  • Define Anti-Goals: Exclude meme accounts, lagging indicators.

Over a month, this library uncovers alpha stateless chats miss. Track evolution at @CalConviction; integrates news for strategic headlines, turning news overload into high-conviction briefings.