Memory infrastructure for AI agents

Give agents a place to remember from.

Substratia is a local-first memory layer for agent work: compact continuity records, portable context, and tools that keep future sessions from rebuilding the same understanding again and again.

What this is

A small substrate for durable agent context.

The public site is intentionally static. The product work lives in repo-owned packages, command-line tools, and plain files that can be audited without a web account or hosted dashboard.

Local-first by default

Agent context should be inspectable files and small databases before it becomes a remote service.

Fast recovery

Continuity is useful when it makes the next session cheaper: fewer summaries, fewer forgotten decisions, fewer restarts.

Portable memory

Snapshots, prompts, and records should be easy to move between tools instead of being trapped in one chat surface.

System surface

Built around files, CLIs, and explicit handoffs.

Substratia favors source-controlled docs, local state, and compact savepoints over hidden services. That keeps the operational model legible for humans and cheap for deployment.

Thread savepoints for project continuity

A local memory SDK and CLI

Durable snapshots for handoffs and compaction

Security checks for API-key handling

No surprise billing posture

The website exports to static files.

No middleware, no serverless API routes, no hosted auth, no runtime image optimizer, and no analytics beacons. Vercel serves the built `out/` directory as static assets.

See the checklist