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SurrealDB Stream #36 - Why your AI agent forgets everything (and what we built to fix it)

Livestream Ā· Aired Thursday, April 23 at 4:06 PM GMT+1

Most AI agents can reason. Most can act. Most of them still can't remember - not properly.

On Thursday 23 April, join Tobie Morgan Hitchcock and Matthew Penaroza for the first look at Spectron: SurrealDB's agent memory layer. A structured context layer built directly into the database, not patched together on top of it.

This is a code-first session - expect real queries, honest conversation, and a genuine look at what it actually takes to give your agents persistent, structured memory.

šŸ”Ž What we'll cover:

• Why agent memory is broken - the fragmented memory tax, what it costs you in production, and why middleware isn't the answer
• What Spectron is - knowledge graphs, entity extraction, temporal facts, and hybrid retrieval, all inside SurrealDB in a single ACID transaction
• What it means for agentic systems - shared memory across agents, context that persists across sessions, and a layer your stack can actually rely on
• Live code - Tobie shows how it works in practice

šŸ”— Links:
surrealdb.com/platform/spectron

THE PLATFORM

Everything an application and its agents know. Five surfaces, one engine.

IN PRODUCTION

Trusted at scale. Samsung, Nvidia, Verizon, Tencent, and Walmart run on SurrealDB.

14,000+

Developers building on SurrealDB Cloud

4M+

Developers building on SurrealDB worldwide

FROM THE TEAMS

SurrealDB gives us a foundation where we can unify semantic search, knowledge graphs, and AI-driven decision making without stitching together multiple systems. Collapsing responsibility into SurrealDB has become our default engineering posture.
Justin Foley

VP of Engineering, Later

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SurrealDB

The context and memory layer for AI agents

Database. Graphs, vectors, documents and relational data in one engine, in a single ACID transaction.
Agent Memory. Connects and retrieves context wherever your data lives, every fact carrying its source.
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