PicoMQ launches durable streams on object storage

PicoMQ targets a useful gap between fragile WebSocket plumbing and heavyweight Kafka deployments, especially for resumable AI-agent sessions and event streams.

• –HTTP-native streams simplify browser, mobile, and edge-client integration while preserving replay and reconnect semantics
• –Per-use-case streams avoid forcing unrelated records into shared topics, making stream ownership and lifecycle easier to reason about
• –S3-backed durability promises low-cost retention and elastic capacity, but object-store request costs, latency, batching, and consistency need careful tuning
• –Postgres keeps coordination familiar, though its command log could become a scaling or availability dependency at very high stream counts
• –Reusing S3Stream from AutoMQ gives the project a credible storage foundation, but production readiness will depend on benchmarks, authentication, observability, and operational tooling