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Discusses the importance of proper audit logging for AI agents, emphasizing the need for append-only, hash-chained logs that prevent tampering, rather than storing logs in the same writable application database.
This article critiques AI memory systems for being append-only by default, leading to conflicting signals and poor knowledge management over time, questioning if anyone is addressing this beyond relying on better embeddings.
NanoTDB is a small embedded append-only time series database for resource-constrained hosts, written in Go, with no runtime dependencies. It uses a WAL and partitioned data files, supports line protocol ingestion, and provides efficient time-range queries.