Memory Optimized Batch Processing With Streaming I O

via “ragtime batch processor for bulk observation compression”

A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future sessions.

Unique: Implements a dedicated batch processor (Ragtime) that optimizes for throughput by grouping observations into batches and submitting them in parallel. This is distinct from the real-time observation compression pipeline, which optimizes for latency. Batch processing is configurable and can be triggered manually or scheduled

More efficient than processing observations one-at-a-time because batching reduces API overhead; more flexible than fixed batch sizes because parallelism and batch size are configurable; more suitable for backfill scenarios because it can process large volumes without blocking the IDE