# New Blog: Constant-cost semantic memory for multi-agent systems

**URL:** <https://community.neo4j.com/t/new-blog-constant-cost-semantic-memory-for-multi-agent-systems/80405>\
**Category:** Community Content & Blogs\
**Created:** [August 4, 2026, 1:35pm UTC](https://community.neo4j.com/t/new-blog-constant-cost-semantic-memory-for-multi-agent-systems/80405 "2026-08-04T13:35:46Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![alexander.erdl](https://sea1.discourse-cdn.com/flex021/user_avatar/community.neo4j.com/alexander.erdl/32/27386_2.png) [@alexander.erdl](https://community.neo4j.com/u/alexander.erdl)\
**Post date:** [August 4, 2026, 1:35pm UTC](https://community.neo4j.com/t/new-blog-constant-cost-semantic-memory-for-multi-agent-systems/80405/1 "2026-08-04T13:35:46Z")

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Semvec, Semvec Cortex, and Neo4j A clinical assistant that remembers a patient’s full history across a 12-hour shift handover and knows which colleague already investigated the same case three hours earlier behaves nothing like one that treats every conversation as a fresh start. LLMs do not have native memory; they fake it by re-reading the entire conversation on each turn. This means token costs grow linearly. Context windows snap. And the moment a second agent enters the picture, eve...

Read it: [Constant-cost semantic memory for multi-agent systems](https://neo4j.com/blog/developer/constant-cost-semantic-memory-for-multi-agent-systems/)