How we give AI agents long-term memory without blowing the budget: time-stratified vector memory (six grains, progressive summarization) plus a graph knowledge base for structured facts, with bounded storage and semantic search.
How we built a CRDT compaction system for Decipad, merging Y.js updates to dramatically reduce storage costs and improve real-time collaboration performance in high-frequency editing scenarios.
Discover how Decipad's lazy column architecture enables seamless analysis of massive datasets by combining lazy evaluation, chunked access, and async computation for performance and scalability.
A comprehensive overview of how database technology has evolved from simple file systems to complex distributed architectures.
A journey through the evolution of data architecture, from centralized databases to local-first systems that prioritize user control and offline capabilities.
A practical implementation of bringing data closer to edge compute, with real-world examples and performance benchmarks.
Exploring the challenges and possibilities of bringing data closer to edge compute, and imagining a future of non-uniform data access for distributed systems.