Awesome Ai Agents 2026
Section: AI Safety and Guardrails Β· Prompt injection detection.
Entry
Appears in 4 awesome lists
π’ β Archived prompt-injection detector (heuristics + LLM + vector DB + canary tokens). (Protect AI) β note: archived by the maintainer; retained as a historical prompt-injection defense reference. Β· updated 2024-01-25); Related: LLM Guard
Section: AI Safety and Guardrails Β· Prompt injection detection.
Section: Scanners, Evals & Guardrails Β· π’ β Archived prompt-injection detector (heuristics + LLM + vector DB + canary tokens). (Protect AI) β note: archived by the maintainer; retained as a historical prompt-injection defense reference. Β· updated 2024-01-25); Related: LLM Guard
Section: Tools Β· a self-hardening prompt injection detector
Section: LLM Security & AI Security Β· Prompt injection detector for LLM applications.
Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD
Open-source CLI security scanner for agentic workflows. Scans your workflowβs source code, detects vulnerabilities, and generates an interactive visualization along with a detailed security report. Supports LangGraph, CrewAI, n8n, OpenAI Agents, and more.
Input/output validation framework for building reliable AI applications. Detects and mitigates risks through composable validators for PII, toxicity, prompt injection, and structured output validation. Features Guardrails Hub with 50+ pre-built validators. Apache 2.0 licensed.
NVIDIA's programmable guardrails toolkit: define input, dialog, retrieval, execution, and output rails that intercept the agent loop at five distinct layers using the Colang DSL. The execution rail layer specifically governs what tools the LLM can invoke and what their inputs/outputs may contain ββ¦
Python framework for adversarial attacks, data augmentation, and model training in NLP. Augment datasets to increase model robustness and generate adversarial examples. MIT licensed.
The LLM vulnerability scanner. Probes models for hallucinations, data leakage, prompt injection, misinformation, toxicity, and jailbreaks. Extensive plugin-based architecture with 100+ vulnerability probes. Apache 2.0 licensed.
π’ β LLM monitoring toolkit extracting safety/security signals such as jailbreak similarity, prompt-injection similarity, hallucination checks, PII patterns, toxicity, and refusal metrics. (WhyLabs) Β· updated 2024-11-22)
NeMo Guardrails is an open-source toolkit facilitating the integration of programmable guardrails, essential for steering and safeguarding AI agents' conversational outputs, into large language model-based applications github | research paper