SurrealDB launches Agent Memory, scoring 77.2% on BEAM (Strict)
tobiemh · reddit · 2026-10-15
SurrealDB founder Tobie announced Agent Memory, built on the company's multi-model database. It turns conversations and documents into structured entities, relationships and facts, tracking provenance and temporal history.
- Single-store design: SurrealDB natively supports graphs, vectors and documents, so agent context layers and knowledge graphs don't require stitching multiple storage systems.
- Benchmark philosophy: The team argues memory benchmark scores vary wildly with evaluation protocol, so instead of chasing the highest number they targeted BEAM (Strict), hitting 77.2% accuracy.
- Alternatives: They cite Mem0, Honcho and Cognee as interesting approaches and position their work as a different path.
The author is soliciting feedback from builders on long-term memory and mutable-fact management.
Related event: SurrealDB Launches Agent Memory, Scoring 77.2% on BEAM(4 posts)→
More from coding & agent
- Musk amplifies claim: Grok Bot built an autonomous microbusiness that made $1,100 — elonmusk · 2026-10-15
- 48-page handbook on harness engineering for AI agents — blaizedsouza · 2026-10-15
- Chef creator's Swamp Club raises $7M seed for deterministic-plus-probabilistic AI — josh_wills · 2026-10-15
- Yacine: AI agents shouldn't write 100k lines of code — more code is a liability — yacineMTB · 2026-10-15
- Claude Code Spins Up 161 Codex Sessions to Recreate a 63-Second Video — ZacharyHuang12 · 2026-10-15
- Running Claude, Codex, Gemini and Grok in parallel: 1,708 queued tasks, the human is the bottleneck — nptacek · 2026-10-15