Memori is agent-native memory infrastructure: an LLM-agnostic layer that transforms agent execution and conversation history into structured, persistent state for production systems. Unlike conversational memory wrappers or vector retrieval, Memori captures tool calls, decisions, traces, and user context as durable, queryable state that agents rely on across sessions, models, and workflows.
Let Memori handle enterprise agent memory so your team can improve accuracy, cut inference costs, and accelerate agent development, instead of building and operating a memory system themselves.
Memori is benchmarked on LoCoMo, an independent benchmark from Snap Research measuring how well systems remember and retrieve information. Memori delivers industry-leading results: 82% accuracy using only 1,294 tokens, roughly 5% of full-context cost, enabling enterprise teams to reduce inference spend by up to 95%.
Built for the enterprise, Memori works with the data infrastructure you already run through partnerships with leading database providers, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
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Frequently asked questions
When was Memori Labs founded?
Memori Labs was founded in 2024.
What industry is Memori Labs in?
Memori Labs operates in Software Development. Find similar Software Development investors on gritt.io.
Where is Memori Labs based?
Memori Labs is headquartered in San Francisco, United States.
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