
PROMPTPurify
Tiny prompt-injection firewall for LLM chat apps. 14 MB.
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.
Does the same job
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Constellation Gate AIJul 2026 · constellationgate.ai · ▲119Prompt injection and token savings - #1 in benchmarks

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Hi HN! This is Salman, Adil, Shuguang and Co working on ArchGW[1] - an open-source lightweight proxy server for prompts - written in Rust and built on top of Envoy[2]. Arch moves the critical but pesky handling and processing of prompts: task understanding, prompt routing, safety, and observability - outside business logic. Its an edge and egress proxy for agentic apps. We've talked to 100s of developers at places like Twilio, GE Healthcare, Redhat, Square, etc and there was a consistent theme in building AI apps: to move past a nascent demo they are left to their own devices in building out…
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Hi HN, Matvey, Ildar, Joey, and Dominik here. If you're building LLM agents that use tools, you're probably worried about prompt injection attacks that can hijack those tools. We were too, and found that solutions like prompt-based filtering or secondary "guard" LLMs can be unreliable. Our thesis is that agent security should be handled at the network level between the agent and the LLM, just like a traditional web application firewall. So we built Archestra Platform: an open-source gateway that acts as a secure proxy for your AI agents. It's designed to be a deterministic firewall against…
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