Ori-Mnemos vs memtrace-public
Ori-Mnemos: Ori Mnemos is an open-source persistent memory infrastructure for AI agents that implements human cognition models on a knowledge graph. It uses ACT-R decay, spreading activation, and Hebbian learning to manage memory, and achieves state-of-the-art retrieval performance while being zero-infrastructure and portable.; memtrace-public: Memtrace is a persistent memory layer for coding agents. It builds a bi-temporal, episodic, structural knowledge graph from your codebase's AST, enabling agents to remember and reason about code structure, evolution, and dependencies. It runs entirely locally, indexing code in seconds and providing sub-millisecond query latency.
TL;DR
Multi-hop retrieval QA (e.g., HotpotQA)
Codebase exploration and understanding
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