metronix-memorySelf-hosted agent memory stack in Docker: Postgres + Qdrant + Neo4j hybrid retrieval, a temporal knowledge graph, ontology layer and freshness checks behind one MCP-native API.
Why switchBoth are layered memory systems built on Qdrant with structured facts alongside vectors. Memory-OS is shaped for the Hermes agent specifically; Metronix targets any MCP-native agent and also ships a native Hermes provider.
Full comparison → MemoriaRust memory layer for AI agents with Git-style version control — snapshot, branch, merge and rollback over MatrixOne's copy-on-write engine, plus hybrid vector + full-text retrieval.
Why switchBoth are persistent agent memory layers; memory-os is a 7-layer Qdrant-based memory OS, Memoria is a Rust versioned store with time-travel rollback and provenance chains.
Full comparison → MemOSMemTensor's memory OS for LLM agents: one API over graph-structured, multi-modal memory with hybrid retrieval and skill evolution — hosted, self-hosted (Neo4j + Qdrant) or local plugins.
Why switchBoth pitch a layered 'memory OS' with a Hermes Agent integration — memory-os is a 7-layer Qdrant stack built for Hermes, MemOS a multi-harness core with local SQLite plugins.
Full comparison → MemMachineLong-term memory layer for AI agents — episodic (graph), profile (SQL) and working memory behind Python/TS SDKs, REST and MCP; ships LangChain, LangGraph, CrewAI and LlamaIndex integrations.
Why switchBoth give agents durable, structured memory; MemMachine is the framework-agnostic layer with SDKs and MCP, memory-os the deeper 7-layer architecture wedded to Hermes Agent.
Full comparison → LightMemICLR 2026 memory framework for LLMs/agents: LLMLingua pre-compression, topic segmentation and offline memory updates — leading LoCoMo/LongMemEval results at lower token cost.
Why switchLayered memory operating systems from opposite cultures: memory-os is a 7-layer production system for one agent stack, LightMem is a modular research framework you assemble per experiment.
Full comparison → hindsightAgent memory that learns, not just recalls: retain/recall/reflect API over Postgres, SOTA on LongMemEval. Self-host via Docker with UI; Python/TS clients, any LLM provider.
Why switchSame layered-memory idea, different scope: hindsight is a harness-agnostic API benchmarked on LongMemEval, memory-os is a 7-layer stack wired specifically into Hermes Agent.
Full comparison →