Overplane vs Wolbarg

Overplane is an AI code generation and build system that verifies and safely compiles plain-language specs into working, verified code. Container-sandboxed agents,...

Why most local multi-agent workflows don't need PostgreSQL for semantic memory, and when they actually do.

About Overplane

Overplane is an AI code generation and build system that verifies and safely compiles plain-language specs into working, verified code. Container-sandboxed agents, replayable builds, and multi-agent support. Overplane combines popular AI coding agents with containers, spec-driven development, and formal verification to create a safer and more reliable AI coding workflow. Overplane keeps the speed and fixes the rest in three moves: contain the agent, wrap it in a real build system, and verify the plan before the code exists.

About Wolbarg

Why most local multi-agent workflows don't need PostgreSQL for semantic memory, and when they actually do. When people build an AI application, the database choice looks obvious: PostgreSQL, maybe Redis for caching, maybe pgvector for semantic search. This post is about that decision, and why SQLite is often the better fit for local multi-agent workflows. Local agents usually run on one machine, one process, maybe a handful of agents sharing context. Strip away the marketing and the list is short: low latency, simplicity (no migrations, users, or roles to wrestle with), local execution (offline works, no cloud bill), reliability (transactions, not half-written memories), and persistence (a file you can copy, back up, or delete).