Core Memory
always in prompt
Client, targets, strategy, guardrails. Loaded into every agent prompt.
Episodic memory
vector-indexed
Every approved/rejected change, A/B test, anomaly and your note. Your "no" weighs 3× more than automated data.
Patterns & ontology
Bayes · 146 concepts
Rules like "tCPA under 30 conversions raises CPA by 20–40%". Bayesian scores with confidence breakdown.
Knowledge graph
Memgraph · multi-hop
Causal chains. Multi-hop queries through relationships, not just vectors.
Autodream
after each action · Monday full
Continuous memory improvement + weekly consolidation. Stale patterns decay, confirmed ones strengthen.
Example: pause a seasonal keyword
A search term "winter passes 2024 ski" — tCPA rising, ROAS dropping. The agent finds a note in L2 from March 2025: "demand drops in April, we did not pause — pause to save budget". L3 confirms the pattern "seasonal down-trend April → May for winter terms, weight 87%". Proposal: pause, restart Dec 1. You approve, audit log saves a snapshot for rollback.
Deeper explainer
Detailed article on each layer, the ontology, Bayes and autodream — 12 minute read.