Observed arrival · 2026-08-20
SolarflareDB Gives AI Agents a Memory With a Timeline
SolarflareDB is a temporal context database for storing facts, episodes, relationships, time, and provenance, then retrieving them by meaning, text, graph structure, or time.
Why it surfaced
This technical-preview product treats agent memory as more than vector search: it models valid time, recorded time, supersession, contradiction, and retraction while preserving the history behind each change. Its homepage includes architecture notes, TypeScript, Python, and HTTP examples, plus a five-minute path from API key to provenance-inspected retrieval.
SolarflareDB is a temporal context database for storing facts, episodes, relationships, time, and provenance, then retrieving them by meaning, text, graph structure, or time.
Observed signals
Read the marks
Editorial observations of this landing page, not a rating.
One card from the complete issue