HyperStack
HyperStack is a developer-first memory layer for multi-agent systems that stores shared knowledge in a structured graph rather than freeform text blobs.
About
HyperStack is a developer-first memory layer for multi-agent systems that stores shared knowledge in a structured graph rather than freeform text blobs. The key differentiator is that the schema is fully developer-controlled, which means you decide what gets remembered and how it's structured — no LLM inference needed at retrieval time, hence the $0 LLM cost claim. It integrates with common AI tooling like Cursor, Claude Desktop, and LangGraph through its npm package, making it a drop-in addition to existing workflows rather than a platform migration.
Developers building multi-agent pipelines who want shared, structured memory across tools without paying LLM token costs for every retrieval.
Pros & Cons
Pros
- check Zero LLM cost for memory operations — retrieval is deterministic, not inference-based
- check Developer-controlled schema gives precise control over what agents remember
- check Works across multiple popular AI environments (Cursor, Claude Desktop, LangGraph)
Cons
- close Published as an npm package — no managed cloud offering observed, so you handle your own infrastructure
- close No reviews or community usage data available yet
- close Knowledge graph setup requires upfront schema design work, which may slow initial adoption
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