Neo4j

@neo4j.com

The World's Leading Graph Intelligence Platform. Developers: https://dev.neo4j.com/developerbsky. Our community: https://dev.neo4j.com/communitybsky Same handle on all other platforms.

Will Lyon on August 6: how context graphs unify short-term messages, long-term entities, and reasoning traces in one queryable structure, and how successful execution patterns get distilled into reusable SKILL .md artifacts new agents can use from day one. https://bit.ly/4yWei9z

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Wonderful news! Virtual Graph is now available in the Aura Console for Snowflake, Databricks, and Google BigQuery. -Connect a source, generate a model, and run your first Cypher query in minutes. - - Public preview is free to use. Enjoy! https://bit.ly/3Rp05RK

Neo4j Virtual Graph is now in public preview

Today, we are announcing MCP for Aura, a hosted MCP server built into your Aura instance. MCP for Aura eliminates the tax by providing a fully hosted, native MCP server within Neo4j Aura, allowing developers to connect AI agents to their graph data in minutes. https://bit.ly/4b63qf7

Neo4j Enterprise Studio is here: one self-managed workbench combining Query, Bloom, and Dashboards for teams working with graph data. Write and debug Cypher. Explore data without code. Build and share interactive dashboards. All in one place, on infrastructure you control. https://bit.ly/4eLGQtd

Enterprise Studio

Most #AIAgents are impressive in conversation and isolated in operation. ⏬ Why context graphs fix this with three connected memory layers: long-term knowledge, short-term conversation history, and reasoning traces that persist across sessions. https://bit.ly/4wRE2ST

Context graphs: Why AI agents need three types of memory - Graph Database & Analytics

Learn how context graphs store knowledge, conversation, and decisions to give AI agents a reliable memory that improves over time.

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You need robust tools to query, visualize, and connect your data without compromising your security standards. Neo4j Enterprise Studio: the unified, secure workbench designed for your self-managed graph database, featuring three graph tools. https://bit.ly/4eLGQtd

Discover how Neocarta and #Neo4j can help your agentic applications build smarter semantic layer graphs on #GCP! Instead of hardcoding schema, agents can traverse entities, confirm glossary terms, check lineage, and query—all in one go. Learn more from Alex Gilmore: https://bit.ly/4vepyvP

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