Persistent AI Memory
Why AI systems need memory that survives context windows and deployments.
Read moreResourcesTechnical
Technical
resources
Deep dives, architectural patterns, and practical guides for building AI systems with governed persistent memory.
📚Core Concepts
📚Technical Deep Dives
Hybrid Semantic Search
Vector + BM25 + RRF reranking. How Recall Racoon achieves sub-50ms recall.
Read moreMCP Protocol Deep Dive
Full tool surface, transport options, and integration patterns.
Read moreClaim Lifecycle Governance
Candidate → confirmed → stale → superseded → conflicted → archived.
Read moreKnowledge Graph Construction
How Rummage builds and maintains the memory graph automatically.
Read more📚Deployment & Operations
Self-Hosted AI Infrastructure
Running Recall Racoon on your Kubernetes, VMs, or air-gapped networks.
Read morePrivate AI Infrastructure
VPC deployment, data residency, compliance frameworks, and network topology.
Read moreRAG vs Persistent Memory
When retrieval-augmented generation isn't enough. The case for governed memory.
Read moreComing SoonResources in
Resources in
development
Case Studies (when customers authorize)
Architecture Decision Records (ADRs)
Performance Benchmarks
Migration Guides (from mem0, Zep, custom RAG)
Video Tutorials & Webinars
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