Story
We built a persistent agent memory layer on Elasticsearch with 0.89 recall
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Overview
Agent memory on Elasticsearch utilizes three indices for hybrid recall, incorporating a reranker, supersession, decay, and DLS to create a persistent memory layer for agents. Agent Builder is now generally available, allowing users to start with an Elastic Cloud Trial and access documentation.
Summary from elastic.co.
Reports
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Community reactions
Each reaction summarizes sampled comments from the linked discussion.
Hacker News · elastic.co
Hacker News discussion ↗
Historical count: 5 · 5 saved in sample · Historical sample
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Based on 5 sampled comments from this thread. Analyzed 2026-06-18.
- Praise: Utilizing Elasticsearch for a shared memory layer enhances collaboration across teams, making it easier to connect to remote services and support multiple users effectively.
- Praise: The approach of integrating advanced features of Elasticsearch can be beneficial for enterprise setups, especially when leveraging its capabilities in cloud environments.
- Concern: Using Elasticsearch for this purpose is seen as overkill, with simpler vector databases like SQLite being more appropriate for basic needs.
- Concern: There are concerns about the clarity and effectiveness of the custom language used in the implementation, which may complicate understanding for those unfamiliar with the field.