deja-vu vs Vault-Agent-Memory
deja-vu: Deja-vu is a zero-dependency, local-first binary that indexes and makes searchable the historical sessions of various AI coding agents. It acts as a universal memory layer, allowing agents to recall past solutions and context efficiently, even from before its installation.; Vault-Agent-Memory: Vault Agent Memory provides a governed, shared memory layer for AI agents, helping them manage what to remember, who can access it, and ensure its accuracy and relevance. It solves common agent memory failures like forgetting bug fixes, misprioritizing old information, and uncontrolled shared memory.
TL;DR
Reusing solutions from past agent conversations to avoid re-debugging or re-implementing.
Agent developers integrating a governed memory layer into their AI agents.
Side-by-Side Comparison
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