JoySafety/JoySafety

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1344 stars · 94 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

JoySafety is an open-source large language model safety framework from JD.com, written in Java, providing prompt injection detection, content moderation, and multi-turn conversation risk identification. It uses a pluggable DAG-based orchestration of detection models (BERT/FastText/Transformer) with hot-updatable policies and supports Docker Compose deployment at production scale.

Use cases

• detect prompt injection attacks against LLM applications
• moderate chatbot responses for policy compliance
• guard enterprise AI assistants against data leakage
• block unsafe LLM outputs in production
• orchestrate multiple safety detection models with DAG policies
• add content safety guardrails to RAG pipelines
• self-host an LLM content safety service

When to choose

• you need production-grade, battle-tested LLM safety guardrails with high throughput
• you want hot-swappable detection models and minute-level policy updates
• you deploy Java/JVM services and want Docker Compose-based self-hosting
• you need multi-turn conversation risk detection and red-line knowledge base responses

When to avoid

• you need a lightweight client-side or embedded guardrail library rather than a deployed service
• your stack cannot run JVM services or Docker
• you need English-only moderation with no Chinese-language focus
• you require a permissive standard open-source license (license is non-standard)

Facets

framework · maturity active

security nlp machine-learning middleware api-framework rag large-language-models security artificial-intelligence chatbots self-hosted self-hosted jvm llm-safety prompt-injection-detection content-moderation guardrails dag-orchestration jd chinese-nlp hot-reload docker-compose natural-language-processing docker linux web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="JoySafety/JoySafety")