Calus

What it does

Drop in security gateway for AI agents. One env variable, no code changes. Catches and blocks prompt injection, jailbreaks, and agent abuse before they cause damage. No GPU, fast, and fully open source.

Drop-in, detection-only AI-security gateway. Flags prompt injection, jailbreaks & agent abuse on every call. No code changes, never alters your traffic.

Calus intercepts every call your app makes to OpenAI, Anthropic, Groq, or any LiteLLM-supported provider. It scans each prompt and tool response for prompt injection, jailbreaks, and agent abuse before the model ever sees them. No code changes to your app. Your provider key travels with the request and is never stored. It is detection-only. Calus never blocks or rewrites traffic. It flags what it finds, adds verdict headers to every response, and logs everything to a live dashboard. You decide what to do next. Mapped to the OWASP LLM Top 10 (2025). Every pattern is readable in the repo. Hidden instructions in tool outputs, documents, and web pages attempting to override your agent's goals…from usecalus.com

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  Git for AI AgentsMay 2026 · github.com · ▲129

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  yolo-cage – AI coding agents that can't exfiltrate secretsJan 2026 · github.com · ▲60

  I made this for myself, and it seemed like it might be useful to others. I'd love some feedback, both on the threat model and the tool itself. I hope you find it useful! Backstory: I've been using many agents in parallel as I work on a somewhat ambitious financial analysis tool. I was juggling agents working on epics for the linear solver, the persistence layer, the front-end, and planning for the second-generation solver. I was losing my mind playing whack-a-mole with the permission prompts. YOLO mode felt so tempting. And yet. Then it occurred to me: what if YOLO mode isn't so bad?…

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