Robotics & automotive
Robots, vehicles and devices increasingly carry AI models that need memory, without a cloud round-trip.
The challenge
Section titled “The challenge”- Cloud lookups add latency and fail without connectivity.
- Devices lose power unexpectedly.
- Storage and memory are limited.
Why SrvDB fits
Section titled “Why SrvDB fits”- In-process search: no network hop.
- Crash-safe: after
persist(), data survives power loss. - Compact storage with SQ8 or PQ; ARM Linux wheels; usable from Rust.
Five projects, five levels
Section titled “Five projects, five levels”Each project has its own page: the problem, how SrvDB powers it, what changes, architecture, use cases, core code and limits.
| Level | Project | What it does |
|---|---|---|
| 1 · Beginner | In-car Manual Assistant | Answers drivers’ questions from the owner’s manual, offline. |
| 2 · Intermediate | Diagnostic Assistant | Technicians match symptoms and trouble codes to past repairs. |
| 3 · Advanced | Scenario Miner | Finds driving or robot episodes similar to a scenario of interest. |
| 4 · Expert | Robot Episodic Memory | Robots remember places, objects and outcomes. |
| 5 · Frontier | Autonomous Fleet Memory | Share learned experience across a fleet with database snapshots. |