Human-readable translations for AI agent commands.
AI coding agents execute thousands of shell commands per session. The approval prompts they show are raw commands — unreadable, so engineers click through or disable them entirely.
Intracept sits between your agent and the shell. It intercepts every command, translates it to English using a local registry of 100,000+ command patterns, applies your policy, and either allows it silently or pauses for approval. Sub-millisecond. No network. No LLM.
AI agents are getting execution privileges. Nobody can read what they run.
AI coding agents execute thousands of shell commands per session. The approval prompts they show today are raw commands — engineers click through them or disable permissions entirely. The result: nobody actually knows what their AI just did.
Intracept fixes that. Every command, translated. Every risk, highlighted. Every decision, logged.
Built on an open registry of command translations.
The Intracept Registry is a structured database of CLI command translations — 1,244 tools, 3,800+ flags, composable into 100,000+ unique translations and growing. Each entry carries a verdict, a rationale, and structured tags that enable deterministic policy decisions without any LLM. Open source. Contributions welcome.
View the registry on GitHub →For security and platform teams.
Your team uses AI coding agents. You need to know what those agents execute — and control it.
- \u2713Central policy pushed across all developers’ AI sessions
- \u2713Audit log of every command every agent executes
- \u2713CLI tool management — handle auth for gcloud, aws, docker, and more
- \u2713Compliance evidence for CISOs — deterministic, reproducible verdicts
Start a pilot
Free for individuals. For teams, we'll set up a 2-week pilot.
See for yourself.
Real translations from the registry. Every one verified by hand.