Postgres + vector search + pgGraph

One Database Agent Lab

Map your agent's state, memory, relationships, events, and tool history into one inspectable Postgres architecture. This is planning guidance, not a live benchmark or deployment.

Architecture fit 88 Strong starting point

Describe the workload

Every selection changes the generated storage plan, indexes, and implementation sequence.

Agent data surfaces

Relational state
Sessions, tasks, policies Semantic memory
Embeddings and retrieval Entity relationships
People, tools, resources Event history
Runs and state transitions Tool-call audit
Inputs, outputs, provenance

Operating constraints

Data scale

Write pattern

Tenancy

Consistency

Unified agent data plane

One transactional boundary with specialized relational, vector, and graph access paths.

ONE DATABASE FIT

Core databasePostgres

Workloads3

Schema objects7

Fit score88 / 100

Calculated topology

Shared transactions, distinct access paths

Workload mapping

Tables, indexes, and operating notes

Tradeoff review

What the one-database model changes

Implementation sequence

Open each step for its acceptance check

One database is a hypothesis you can make concrete.

This planner is grounded in a post about pgGraph, Postgres, and vector search inside Polygres. It does not connect to those services. Use the exported blueprint as a starting point for schema review, load testing, and production sizing.

Still from the original pgGraph and Polygres explainer video

Original explainer, 0:49