AI Potluck
Product / UX / Safety & Guardrails

OpenGuardrails

OpenGuardrails

Project with two halves. It publishes a safety and manipulation-detection model, a 3.3B quantized LLM covering content safety, prompt injection, jailbreak, code-interpreter abuse and data leakage across 119 languages; and it maintains the OpenGuardrails specification, a vendor-neutral wire contract for agent safety with reference runtimes, Python and JavaScript SDKs, gateway and sandbox integrations, and a detector benchmark. The specification defines the interface and referees the leaderboard rather than detecting anything itself.

The repository has since been reshaped into the monorepo for the specification and its reference implementations, so the paper and the repository now describe different things and the paper is the better guide to the model. Verified 2026-08-13 via GitHub, the HF model card and the arXiv abstract.

Openness

5 high confidence
5.0
license
Apache-2.0(OSI) for both platform and model
source
public
self-host
yes(on-prem/private)
model
OpenGuardrails-Text-2510 open weights Apache-2.0
core-gated
ungated

Fully open source: both the guardrails platform and the safety model are Apache-2.0 and self-hostable, including on-prem deployment. The repository has since become the monorepo for the OpenGuardrails (OGR) specification and its reference implementations, carrying the Python and JavaScript SDKs and the integrations alongside it - a shift in what the product is, though the licence, the public source and the ungated core are all unchanged.

  • https://github.com/openguardrails/openguardrails recorded 2026-08-13

    Repo metadata records license spdxId - Apache-2.0 and the README closes 'License. Apache-2.0'. The monorepo holds specification/ and schema/, packages/python and packages/javascript, integrations/, benchmarks/ and examples/, and the development section builds and tests the whole thing locally. The project describes itself as foundation-governed and neutral; there is no paid tier, enterprise directory or license key on the page.

  • https://huggingface.co/openguardrails/OpenGuardrails-Text-2510 recorded 2026-08-13

    Model repo is ungated and carries License - apache-2.0 with a LICENSE file and two safetensors shards; cardData records base_model - Qwen/Qwen3-14B and quantization - GPTQ-4bit, which is the 3.3B quantized safety model the score records.

Adoption

1 low confidence
1.0

An early-stage project with no download figure to go on, so the level rests on GitHub stars: 24 stargazers, which bands at under 1K stars, level 1. A stars proxy never rises above 3, because a star is not a use. The project does publish SDKs to PyPI and npm, so a download route may well exist, but PyPI's statistics service was rate-limited and returned no figure.

Capability

4 low confidence
4.0

Unusually complete for its age: it ships both an open safety model and an on-prem platform, with broad multilingual coverage. The paper supports every part of that description, but the repository has since repositioned itself as a vendor-neutral protocol and benchmark rather than a detector - "we do not build detection capability" - so the platform the paper describes and the thing the repository now ships are drifting apart. The band rests on the published model and the paper.

  • https://arxiv.org/abs/2510.19169 recorded 2026-08-13

    Abstract (v2, revised 29 Oct 2025) presents OpenGuardrails as 'the first fully open-source platform that unifies large-model-based safety detection, manipulation defense, and deployable guardrail infrastructure', covering content-safety violations, model-manipulation attacks including prompt injection, jailbreaks and code-interpreter abuse, and data leakage. It records Configurable Policy Adaptation, a unified LLM-based guard architecture, a 14B base compressed to 3.3B via GPTQ, support for 119 languages, deployment as a secure gateway or API service, and Apache 2.0 for all models, datasets and deployment scripts.

Verified 2026-08-13