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Dev tools · May 31, 2026

PROMPTPurify

Tiny prompt-injection firewall for LLM chat apps. 14 MB.

PROMPTPurify launched on May 31, 2026 with 4 votes, #2,419 of 20,538 launches that month and more than 75% of that year's launches.

What it does

Every OSS prompt injection guard needs a GPU, a sidecar, or 7 GB of disk. PromptPurify is 14 MB, CPU-only, runs inside your Node process. Zero network calls. $0/call. Two layers: deterministic structural firewall + 14 MB ML classifier. Benchmarked against Meta Prompt-Guard, ProtectAI, deepset same inputs, same scoring code, reproducible on your laptop. Battle-tested by 2,458 red teamers before release. MIT. Drop in with 3 lines of code.

Prompt-injection guardrail for LLM applications. Compact model that outperforms larger open-source guards. No regex, no signatures. Demo: anton.securelayer7.net - securelayer7/PROMPTPurify

Tiny prompt-injection firewall for LLM chat apps. ~14 MB. CPU-only. Drop-in guard between your user input and your LLM — runs on the same box, no GPU, no API, no extra service. Built by the SecureLayer7 red-team. Most OSS guardrails are hundreds of MB, want a GPU, and still miss the attacks we see in production. We needed something we could ship inside our own AI products and our customers' apps without any of that. Benchmark comparison vs OSS baselines → docs/BENCHMARKS.md . # SDK (zero-dep, ~50 KB) — structural firewall + browser bundle npm i promptpurify # Add the model (~14 MB ONNX) for the chat-injection guard npm i onnxruntime-node curl -L -o promptpurify-model.tar.gz \…from github.com

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