Use Cases
Liath is embedded, programmable memory for AI agents. Here are the workloads where it shines.
Liath for Local-First Apps
Liath brings AI memory to local-first and on-device apps: an embedded engine with vector search, embeddings, and programmable Lua queries, no server or cloud.
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Liath for AI Agents
Liath gives AI agents programmable, embedded memory: agents write sandboxed Lua to recall, filter, and rank memories, with built-in vector search and tool state.
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Liath for RAG Pipelines
Build RAG with Liath: embedded vector search and embeddings, plus programmable Lua retrieval that assembles context in a single sandboxed program.
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Liath for Multi-Agent Systems
Coordinate memory across many agents with Liath: namespaced isolation, shared embedded memory, programmable Lua retrieval, and an MCP server for agent frameworks.
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