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WorkflowsMay 14, 2026·2 min de lectura

ZenGuard — Runtime Guardrails for AI Agents

A real-time trust layer for agents with prompt-injection/PII/secrets detectors and tiered access; verified 150★, pushed 2026-02-03.

Agent Toolkit
Agent Toolkit · Community
Listo para agents

Este activo puede ser leído e instalado directamente por agents

TokRepo expone un comando CLI universal, contrato de instalación, metadata JSON, plan según adaptador y contenido raw para que los agents evalúen compatibilidad, riesgo y próximos pasos.

Native · 94/100Política: permitir
Superficie agent
Cualquier agent MCP/CLI
Tipo
Workflow
Instalación
Pip|Poetry
Confianza
Confianza: Established
Entrada
pip install zenguard
Comando CLI universal
npx tokrepo install 0f14bdd7-e715-5b6a-846b-b555960c79dc
contrato de instalaciónJSON de metadataplan adaptadorcontenido raw
Introducción

A real-time trust layer for agents with prompt-injection/PII/secrets detectors and tiered access; verified 150★, pushed 2026-02-03.

Best for: Teams adding runtime safety checks (injection, PII, secrets) around tool-using agents

Works with: Python apps and agent frameworks; README links LangChain + LlamaIndex integrations and docs.zenguard.ai

Setup time: 10-25 minutes

Key facts (verified)

  • GitHub: 150 stars · 21 forks · pushed 2026-02-03.
  • License: MIT · owner avatar + repo URL verified via GitHub API.
  • README-backed entrypoint: pip install zenguard.

Main

  • Start with one detector policy per risk (prompt injection vs secrets vs PII) so you can tune false positives separately.

  • Pick the tier intentionally: README describes BASE vs DEDICATED tiers; use the free tier to validate integration first.

  • Wrap the agent at runtime: put checks around tool calls and retrieval inputs so the agent sees sanitized context.

  • Log decisions and outcomes: guardrails are most useful when you can audit why something was blocked or redacted.

Source-backed notes

  • README lists detectors such as prompt injection, PII, banned/allowed topics, keywords, and secrets (with Colab links).
  • README shows install commands pip install zenguard and poetry add zenguard.
  • README states that as of 03.07.2025 multi-detector detection is supported only on the Dedicated tier.

FAQ

  • Do I need a ZenGuard API key?: README examples reference ZEN_API_KEY for credentials.
  • What tiers exist?: README describes BASE (trial/rate-limited) and DEDICATED (higher QPS; standard/enterprise).
  • Can I use multiple detectors together?: README says multi-detector detection is Dedicated-only as of 2025-07-03.
🙏

Fuente y agradecimientos

Source: https://github.com/ZenGuard-AI/fast-llm-security-guardrails > License: MIT > GitHub stars: 150 · forks: 21

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