Build memory systems for autonomous AI agents that actually work in production. From six-layer architectures to topic routing, compression, and deployment.
Get Started — $49/year →Architecture patterns and production techniques from real-world agent memory deployments.
The six-layer memory model: Hot → Warm → Cold → Library → Diary → Deep. Why flat memory fails and how layered design scales.
Route queries to the right memory tier automatically. Tag-based, semantic, and hybrid routing — when to use which.
Lossy vs lossless strategies. Automatic consolidation — when to summarize, when to keep raw. Prevent poisoning and confabulation.
Observability, graceful degradation, context window management. Patterns that survive real workloads.
Prevent memory poisoning attacks. Authorization at runtime, not in the prompt. B2A payment patterns and agent offramps.
Working reference implementation you can deploy today. Python code, real APIs, production-ready.
Everything you need to go from concept to deployed memory system.
60+ pages of architecture patterns, design decisions, and annotated code examples. The playbook for building agent memory that works.
Architecture deep-dives and live coding sessions. Watch the system being built and deployed step by step.
A working agent memory system you can deploy today. Fork it, tweak it, ship it.
New patterns, case studies, and code as the field evolves. Your knowledge stays current.
Built for builders who ship real agent systems.
Less than $1/week for a year of knowledge, code, and updates.
Quick answers to common questions.