SurrealDB Stream #33: Agentic AI with Agno & SurrealDB: Agents with Memory
AI apps and agentic systems can struggle with context, trust, and data reliability. On October 16, join Ashpreet Bedi (Agno) and Tobie Morgan Hitchcock (SurrealDB) to learn how Agno x SurrealDB helps developers overcome these challenges. 🔎 Focus areas: - Orchestrate with confidence: how Agno handles workflow automation, reliability, and ops for agentic systems. - One engine for memory: how SurrealDB’s multi-model data (graph + vector + document) powers richer, queryable context. - From theory to practice: the Agno × SurrealDB approach, real examples, and lessons for shipping production-ready AI. 🔗 Links: SurrealDB x Agno integration: https://agno.link/surreal-os SurrealDB Agent Knowledge: https://docs.agno.com/concepts/knowledge/vectordb/surrealdb Multi-tool agent with SurrealMCP & Agno: https://surrealdb.com/blog/multi-tool-agent-with-surrealmcp-and-agno
THE PLATFORM
Everything an application and its agents know. Five surfaces, one engine.
Database
Document, graph, vector, time-series and relational in one engine.
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Agent Memory
What an agent learns, with its source and its time, in the same engine.
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Cloud
Managed clusters in the regions you choose, scaled on demand.
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Studio
Query, explore and design the schema from the browser.
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MCP
Every model that speaks MCP reaches the database and the memory directly.
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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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Start building with SurrealDB. One data layer for AI, from object storage to agent memory.
