Postgres for Agents (www.tigerdata.com)

Tiger today launched Agentic Postgres, a Postgres-derived database “built for agents” that packs agent-first features: an MCP server with built-in master prompts so agents can safely design schemas, tune queries, run migrations and read native docs; native semantic and full‑text retrieval via an improved pgvectorscale (higher throughput / lower latency vs. pgvector, per Tiger) and a new pg_textsearch extension implementing BM25; instant, zero‑copy forks powered by a new copy‑on‑write block layer; and a developer CLI plus a free tier to get started. The preview uses in‑memory search structures (disk segments, compression and BlockMax WAND optimizations are planned) and ships on Fluid Storage, a disaggregated NVMe-backed block store and proxy that exposes copy‑on‑write volumes and claims >100k IOPS per volume. For AI/ML practitioners this signals a shift from treating databases as passive storage to making them active, agent-aware services: agents can retrieve semantic context and operate on isolated production-like forks in seconds for safe experimentation, benchmarking, indexing and schema changes without duplicating data. That reduces agent context‑switching and operational friction, enabling reproducible, parallel workflows and faster agent-driven development. The announcement raises important considerations too—prompt governance, access controls, and verification of agent actions will be critical as agents gain direct, automated DB access.