SQLite evolves into AI-native storage engine

SQLite is shedding its "lite" image to become the core of the modern AI stack, prioritizing sub-millisecond local filesystem latency over cloud-managed database delays. Native JSON support and STRICT tables provide the flexibility of NoSQL with relational safety, essential for storing dynamic agent states. Write-Ahead Logging (WAL) mode largely solves concurrency issues, allowing agents to perform simultaneous reads and writes without bottlenecks. New vector extensions like sqlite-vec bring semantic search and local model inference directly into the engine, enabling on-device RAG. Integration with the Model Context Protocol (MCP) allows LLMs to query local data directly, drastically reducing context window bloat and API costs. Its zero-dependency, file-based architecture perfectly matches the growing industry trend toward private, offline-capable AI tools.