Corv v1.1 SSH client for AI agents now supports detached jobs and warm connections

Corv addresses a gap in how AI agents interact with infrastructure. SSH is designed around human workflows—users manage keys, negotiate interactive prompts, and parse terminal output—but agents need programmatic interfaces, credential isolation, and connection efficiency. Raw SSH invocations force agents to either handle authentication state themselves or expose secrets in command-line arguments, both poor for security and state management.

The local broker model solves connection reuse without requiring server-side changes (OpenSSH ControlMaster works on Unix but not Windows). By holding one authenticated connection per profile and multiplexing commands over that connection, Corv avoids repeated SSH handshakes and authentication. Detached job support is critical for long-running workflows: agents can start a deployment or install script, poll its status asynchronously, and resume output retrieval at any point, with bounded output handling (first 4 MiB + final section for large logs) so agents do not exhaust memory on verbose remote tasks.

The structured JSON output (with fields like exit_code, original_bytes, saved_bytes, returned_bytes, truncated, and output_truncated) gives agents the metadata they need to determine success, detect truncation, and decide whether to re-query or proceed. The integration paths for Claude and Codex suggest the tool is positioned for immediate adoption in agent-driven infrastructure workflows.