Agent Herbie

Agent Herbie positions itself as an offline AI agent built to run inside an organization's own infrastructure rather than in the cloud, for on-premise and air-gapped environments where an external network connection isn't allowed or isn't reliable. Instead of depending only on a hosted large language model, it combines cloud LLMs when available with small, portable offline models, deterministic processing, and statistical methods, so it can keep working with zero outside connectivity. The site describes use across regulated and mission-critical settings. Financial services teams, such as compliance officers, risk managers, and fraud analysts, use it to monitor transactions and documents in real time against rules like SEC, FINRA, and PCI. Government and defense users run it to watch operational data from sensors and systems, detect critical patterns, and trigger automated responses without any external connectivity. General enterprise teams use it to do market research, competitor analysis, and content generation while keeping the underlying data and intellectual property inside their own environment. The honest limitation is that the public site is thin on specifics beyond these use-case descriptions: it does not publish concrete feature lists, pricing, supported platforms, or named integrations, so most of what's known comes from short marketing blurbs rather than detailed documentation. Company name and founding year are not stated.