chDB Durable Layer for agent memory

chDB Durable Layer is presented as a way to preserve embedded chDB analytical databases across laptops, CI jobs, and short-lived sandboxes without turning local memory recall into a remote database call or requiring a database server. It addresses the limitation of local MergeTree directories by retaining a local working copy for fast queries while storing authoritative recoverable state in user-owned object storage, using explicit flush operations for durability, checkpoints to compact write-ahead logs, and conditional writes on a head record to enforce a single-writer lease. The approach is intended for append-heavy, analytical workloads such as agent memory, telemetry, replay buffers, and preprocessed research datasets, where SQL queries over history, evidence, revisions, traces, and conflicts are more useful than simple transactional checkpointing. The text contrasts it with SQLite, Litestream, hosted databases, vendor-managed durable objects, and local DuckDB or chDB, positioning Durable as a middle ground that offers portable columnar OLAP without a service, sidecar, or persistent volume. It recommends append-only table designs, typed columns, compressed cold evidence, external storage for binary blobs, flushing after meaningful batches, and using server databases instead when multi-writer collaboration or high-frequency transactional updates are required. Durable V1 is described as available across Python, Node, Go, and Rust bindings, with support for S3-compatible storage, Google Cloud Storage, and Azure Blob Storage.

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