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Superagent SDK

Application Security

Open-source SDK for AI agent safety that blocks prompt injections, redacts PII, and scans repositories for threats.

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At a Glance

Pricing

Open Source

MIT licensed SDK with free built-in guard model

Engagement

Available On

SDK
API

Resources

WebsiteDocsGitHubllms.txt

Topics

Application SecurityAI Development LibrariesAgent Frameworks

About Superagent SDK

Superagent SDK is an open-source safety library for AI applications that provides runtime protection against prompt injections, data leaks, and harmful outputs. The SDK offers four core methods that teams embed directly into their applications to guard inputs, redact sensitive data, scan for security threats, and run red team scenarios.

  • Guard - Detects and blocks prompt injections, malicious instructions, and unsafe tool calls at runtime with 98% threat detection accuracy using a free built-in model that requires no API keys
  • Redact - Automatically removes PII, PHI, and secrets from text including emails, SSNs, phone numbers, and credit card numbers while keeping application workflows intact
  • Scan - Analyzes repositories for AI agent-targeted attacks such as repo poisoning, backdoors, and malicious instructions embedded in code
  • Test - Runs red team scenarios against production agents to discover vulnerabilities before attackers do (coming soon)
  • Multi-Provider Support - Works with any LLM provider including OpenAI, Anthropic, Google, Bedrock, Groq, and Fireworks AI
  • Open-Weight Models - Run guard models on your own infrastructure with 50-100ms latency using models from 0.6B to 4B parameters available on HuggingFace
  • File Analysis - Analyze PDFs, images, and URLs directly with parallel processing for low latency on large inputs
  • IDE Integrations - Includes examples for Cursor IDE hooks and Claude Code hooks to guard prompts in real time

Install via npm with npm install safety-agent or Python with pip install safety-agent. The default guard model requires no API keys to get started. The SDK is MIT licensed with 6,400+ GitHub stars and an active community on Discord.

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Pricing

OPEN SOURCE

Open Source

MIT licensed SDK with free built-in guard model

  • Guard method with default model (no API key required)
  • Redact method (requires LLM provider)
  • Scan method for repository analysis
  • TypeScript and Python SDKs
  • CLI tool
View official pricing

Capabilities

Key Features

  • Prompt injection detection and blocking
  • PII and PHI redaction
  • Secret and credential removal
  • Repository security scanning
  • Red team testing scenarios
  • Multi-provider LLM support
  • Open-weight guard models
  • PDF and image analysis
  • URL content scanning
  • Custom classification prompts
  • TypeScript SDK
  • Python SDK
  • Command-line interface
  • MCP server integration
  • Cursor IDE integration
  • Claude Code hooks
  • Parallel processing for low latency
  • No API keys required for guard
  • Self-hosted model deployment
  • GGUF models for CPU inference

Integrations

OpenAI
Anthropic
Google AI
AWS Bedrock
Groq
Fireworks AI
Cursor IDE
Claude Code
Claude Desktop
HuggingFace
llama.cpp
API Available
View Docs

Reviews & Ratings

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Developer

Superagent Technologies

Y Combinator W24 backed company building infrastructure for AI coding agents. Founded by Alan Zabihi and Ismail Pelaseyed, Superagent Technologies focuses on making AI agents safe, secure, and enterprise-ready through tools like Vibekit.

Founded 2024
San Francisco, CA
$1.6M raised
2 employees
Read more about Superagent Technologies
WebsiteGitHubX / Twitter
2 tools in directory

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