Neo4j Agent Memory

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For developers building AI agents that need persistent memory, Neo4j Agent Memory is a graph-native memory layer, built by Neo4j, that stores conversations, entities, and reasoning together in one graph.

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
81
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, and CLI; agents can build on it today.

Evidence
Public API docsapi docs ↗
First-party MCP servermcp docs ↗
Agent Readiness 81 of 100 (Grade A)this cycle
Scale
982
employees · Scaled

Firmographics from the public record. Methodology →

Scaled-stage on our scale — 982 employees on record.

Parent  Neo4jFounded  2007Funding  $631.1MARR  $200M+ ARR (2024-2025)Valuation  $2B (2025)Status  Independent

Employees & founded inherited from Neo4j (parent).

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