origin vs Ori-Mnemos
origin: Origin provides a local memory and knowledge system for AI workflows, enabling agents to recall past context, capture decisions and lessons, and distill them into versioned wiki pages. It uses hybrid retrieval (vector + FTS + graph) and git versioning for auditable, refreshable context.; 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.
TL;DR
Maintaining persistent context across AI work sessions
Multi-hop retrieval QA (e.g., HotpotQA)
Side-by-Side Comparison
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