MemoryGraph

Memory for Your AI Assistants _ It just works. > Persistent performant memory for Claude (Code and Desktop), Cursor, Copilot, and custom agents > Your AI remembers conversations, learns patterns, grows smarter > Simple config. Sensible defaults. Local-first. Privacy by default. Technical Details: Graph Relationships Make the Difference Research shows that naive vector search degrades on long-horizon and temporal tasks. Benchmarks such as Deep Memory Retrieval (DMR) and LongMemEval were introduced precisely because graph-based systems excel at temporal queries ("what did the user decide last week"), cross-session reasoning, and multi-hop questions requiring explicit relational paths. Graph memory captures entities, relationships, and temporal markers that traditional vector stores miss. For example: Alice COMPLETED authentication_service, Bob BLOCKED_BY schema_conflicts with timeline information about when events occurred.