AgentMemory for .NET: A native sibling to Neo4j Agent Memory

AgentMemory for .NET is a newly developed, independent open-source project designed to provide persistent graph-native memory for AI agents within the .NET framework, serving as a counterpart to Neo4j Agent Memory. Created by José L. Latorre and supported by Neo4j Developer Advocate Zaid Zaim, this implementation is built from scratch and verified for compatibility using Neo4j's Test Compatibility Kit, achieving 178 out of 178 test scenarios successfully. Unlike existing Python and TypeScript SDKs, this .NET version integrates seamlessly with the Microsoft Agent Framework, offering three layers of memory—short-term, long-term, and reasoning—classified using the POLE+O ontology. It supports various retrieval methods, including vector and graph traversal, while incorporating .NET-native features such as OpenTelemetry and Semantic Kernel adapters. The project emphasizes the importance of native memory integration within agent frameworks to ensure consistent and reliable performance, and it is complemented by AgentEval, a toolkit for evaluating AI agent performance. The development team is also working on expanding backend options to include the Neo4j Agent Memory Service (NAMS) and plans to introduce new memory tiers for maintaining consistent agent behavior over time.

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