Wherever you’re building agents, Neo4j is already there

Neo4j describes a set of Neo4j Labs integrations intended to help developers connect AI agents built on platforms and frameworks such as AWS, Google, Vercel, Salesforce, LangGraph, and others to graph-based retrieval, actions, and persistent memory. The integrations use options including Neo4j’s MCP server, drivers, Aura Agents MCP, and Neo4j Agent Memory or its managed service, enabling agents to query and update graph data while retaining short-term, long-term, and reasoning context across sessions and among multiple agents. Examples include AWS Strands and AgentCore, Google ADK and Gemini Enterprise, Vercel AI SDK, and Salesforce Agentforce, with proposed applications in supply-chain analysis, customer assistance, and sales support. Neo4j says the integrations include runnable code, deployment and security guidance, and production-oriented setup materials in its GitHub repository and documentation, while future work is planned for CrewAI and Haystack 3.0.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.