Cave Agent

CaveAgent: Transforming LLMs into Stateful Runtime Operators

"From text-in-text-out to (text&object)-in-(text&object)-out"

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Most LLM agents operate under a text-in-text-out paradigm, with tool interactions constrained to JSON primitives. CaveAgent breaks this with **Stateful Runtime Management**—a persistent Python runtime with direct **variable injection and retrieval**:

• Inject any Python object into the runtime—DataFrames, models, database connections, custom class instances—as first-class variables the LLM can manipulate
• Persist state across turns without serialization; objects live in the runtime, not in the context window
• Retrieve manipulated object