Redis Agent Memory

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For developers building AI agents that need to remember past interactions, Redis Agent Memory is a managed memory server that uses LLMs to extract key facts from conversations, stores them for short and long-term recall via vector search, and caches responses with LangCache.

SOV Score
Tracked · below panel floor

Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →

Tracked across the GTM voices panel but below the scoring floor this cycle — earned mentions are accruing toward the next scored window.

Evidence
Tracked in the Panel SOV corpus, L90d windowpresence-only this cycle
Agent Readiness
80
Grade A
APIMCPSDKCLI

Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →

Grade A — ships API, MCP, SDK, no public CLI on file; agents can build on it today.

Evidence
Public API docsapi docs ↗
First-party MCP servermcp docs ↗
Agent Readiness 80 of 100 (Grade A)this cycle
Scale
1,500
employees · Scaled

Firmographics from the public record. Methodology →

Scaled-stage on our scale — 1,500 employees on record.

Parent  RedisFounded  2011Funding  $347MARR  $300M+ ARR (Jan 2026)Valuation  $2B (2021)Status  Independent

Employees & founded inherited from Redis (parent).

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