JavaScript/TypeScript SDK for KoreShield LLM Security Platform - Enhanced with browser optimization, streaming, and framework integrations
LLM Security SDK — Prompt Injection Detection, PII Protection, Cost Control, Audit
Node SDK wrapper for the LLM Security Engine
Unified LLM Security SDK - Protect every AI call with one line of code
Hybrid (AST + LLM) security scanner with multi-provider support for OpenAI, Anthropic, Google Gemini, and local Ollama
LLM 安全网关 Node.js 客户端 — 与 Python gateway-sdk 接口对齐（Config + Client.check()，对标阿里云 alibabacloud_green20220302）
BonkLM - LLM Security Guardrails with Interactive Setup Wizard
n8n community node for Vigil Guard Enterprise - AI Detection & Response for LLM security
Official TypeScript/JavaScript SDK for AIProxyGuard - LLM security proxy for prompt injection detection
Static security analyzer for LLM applications — eslint for LLM security
Secure Prompt Enforcement At Runtime - Defense-in-depth middleware for LLM security
High-performance TypeScript-native LLM security & observability middleware
Node.js SDK for Sentinel - Enterprise LLM Security Gateway with AI-powered threat detection and cryptographic data protection
ES Math-related intrinsics and helpers, robustly cached.
Utilities for working with htmlparser2's dom
Fire-and-forget LLM security telemetry SDK — log every AI interaction to Sentinel for real-time threat detection
tar for node
a glob matcher in javascript
Enforce real-time token budgets and spending limits for OpenAI, Anthropic Claude, and Google Gemini API calls in Node.js
LLM-enhanced SAST analysis built on circle-ir
A conversational AI-driven telecom multi-agent system for managing call balances, push notifications, marketing, targeting, and sales.
parse argument options
help secure Express/Connect apps with various HTTP headers
Embedded JavaScript templates
Comprehensive LLM security layer to prevent prompt injection and manipulation attacks
Pure-Rust prompt-injection detector with 1.5MB embedded MLP classifier. 98.40% accuracy, p50 14ms CPU inference, 8-class attack taxonomy. Apache-2.0/MIT alternative to Rebuff and Lakera Guard.
Lite LLM security controls skeleton for integrity, authorization, and auditability.
Security pipelines for LLM applications using ONNX models from Hugging Face Hub. Detect prompt injections, jailbreaks, and PII leaks. Models are lazily downloaded and cached locally. Fast local inference (~10-20ms after initial load).
Detect prompt injection, content violations, data leakage, and unknown links in LLM inputs and outputs.
Fleet pipeline validation: tests, lint, security scan, adversarial LLM review
The CrowdStrike for AI Agents — Real-time security monitoring, threat detection, and runtime protection for LLM-powered agents.
A Ruby gem implementing the Model Context Protocol (MCP) server-side specification. Provides a framework for creating MCP servers that expose tools, resources, prompts, and roots to LLM clients with comprehensive security features, structured logging, and production-ready capabilities.
ChaosToTheRescue uses LLMs to generate missing methods on-the-fly and suggest fixes for Rails exceptions. Features comprehensive security (secret redaction, opt-in behavior, no auto-execution) and is disabled by default for production safety.
Ask questions in plain English, get SQL queries and human-readable answers. Works with any LLM provider (Anthropic Claude, OpenAI, Ollama, or custom). Includes security guardrails: SELECT-only, column blocklists, query timeouts, audit logging.
RcrewAI Rails is a comprehensive Rails engine that brings AI agent orchestration to your Rails applications. Build intelligent AI crews that collaborate to solve complex tasks with full database persistence, background job integration, and a beautiful web dashboard for monitoring and management. Features: • ActiveRecord models for crews, agents, tasks, and executions with full persistence • Rails generators for scaffolding AI crews and agents • ActiveJob integration for asynchronous crew execution (works with any Rails background job adapter) • Web dashboard with real-time monitoring and management interface • Multi-LLM support: OpenAI GPT, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Production-ready with logging, error handling, and security controls • Human-in-the-loop workflows with approval mechanisms • Tool ecosystem: web search, file operations, SQL, email, code execution
RCrewAI is a powerful Ruby framework for creating autonomous AI agent crews that collaborate to solve complex tasks. Build intelligent workflows with reasoning agents, tool usage, memory systems, and human oversight. Key Features: • Multi-Agent Orchestration: Create crews of specialized AI agents that work together • Multi-LLM Support: OpenAI GPT-4, Anthropic Claude, Google Gemini, Azure OpenAI, Ollama • Rich Tool Ecosystem: Web search, file operations, SQL databases, email, code execution, PDF processing • Agent Memory: Short-term and long-term memory for learning from past executions • Human-in-the-Loop: Interactive approval workflows and collaborative decision making • Advanced Task Management: Dependencies, retries, async execution, and context sharing • Hierarchical Teams: Manager agents that coordinate and delegate to specialist agents • Production Ready: Security controls, error handling, comprehensive logging, and monitoring • Ruby-First Design: Built specifically for Ruby developers with idiomatic patterns • CLI Tools: Command-line interface for creating and managing AI crews
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