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AI · April 21, 2026

Defend

Open-source guardrails for LLM apps

Defend launched on April 21, 2026 with 2 votes, #4,561 of 21,248 launches that month.

Visit site ↗Defend alternativestop 21% of April 2026

What it does

Defend is an open-source Python package that adds a security layer to any LLM-powered app. One line of code wraps your model with configurable input and output guards.

Does a similar job

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  • Forge – Guardrails take an 8B model from 53% to 99% on agentic tasksMay 2026 · github.com · ▲687

    Hi HN, I'm Antoine Zambelli, AI Director at Texas Instruments. I built Forge, an open-source reliability layer for self-hosted LLM tool-calling. What it does: - Adds domain-and-tool-agnostic guardrails (retry nudges, step enforcement, error recovery, VRAM-aware context management) to local models running on consumer hardware - Takes an 8B model from ~53% to ~99% on multi-step agentic workflows without changing the model - just the system around it - Ships with an eval harness and interactive dashboard so you can reproduce every number I wanted to run a handful of always-on agentic systems…

  • Lakera Guard2023 · lakera.ai · ▲131

    Protect your LLM applications with a few lines of code.

  • Warestack2025 · warestack.com · ▲444

    Agentic guardrails for safe releases

  • GitGuardian Shield2020 · github.com · ▲80

    Open sourced application to detect security vulnerabilities.

  • ShieldstralAug 2026 · mistral.ai · ▲104

    Define safety at runtime for text and images

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    Continuous security feedback for your repositories.

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