Ori-Mnemos vs magic-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.; magic-context: Magic Context is a context and memory plugin for coding agent harnesses (OpenCode, Pi and OMP) that compresses history in the background, lifts decisions and conventions into project memory and recalls them each turn. It replaces the host's built-in compaction so one session per project can run for weeks without pauses.
TL;DR
Multi-hop retrieval QA (e.g., HotpotQA)
Keep one coding-agent session per project running for weeks
Side-by-Side Comparison
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