0GMem Zero Gravity Memory

Example Use Cases

• 1

  Structured, long-term conversational memory with entity, temporal, and causal reasoning.

• 2

  Multi-hop and negation-aware retrieval across large conversation histories.

• 3

  An MCP-compatible persistent memory backend with advanced query-aware retrieval strategies.

Description

0GMem is a next-generation AI memory system that encodes entities, temporal relationships, causality, and negations at ingestion to enable accurate recall across hundreds of conversation sessions. It uses four orthogonal memory graphs and a cognitive-science-inspired memory hierarchy to support multi-hop reasoning and query-aware retrieval. The system includes an attention filter to remove redundant context, improving LLM accuracy, and supports multi-round agentic retrieval loops for sufficiency checking.