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Using HASH

Primary Use Cases

HASH is designed to serve a wide variety of use-cases. You can find out more about these on the HASH User Guide > Use Cases page.

Developer Use Cases

We'll be fleshing this section out soon.

HASH stores information as semantic, typed entities in a linked web (i.e. a knowledge graph). This makes it particularly well-suited to:

  • Providing agent memory: working memory to AI agents, with linked provenance records and 'confidence' scores for information.
  • Acting as a RAG-ready datastore: as a file/datastore for use in Retrieval Augmented Generation pipelines.
  • Powering agent-based simulation models: for instantiating agents in simulations.

Coming soon

We're currently writing up developer-specific use cases, including those related to agent-based simulation, and entity storage/retrieval (RAG). This page will be updated shortly.

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