Superagent is an open-source SDK for AI agent safety that detects and blocks prompt injections, redacts sensitive data, and scans for threats targeting AI applications.
The tool addresses the security vulnerabilities inherent in deploying large language models by providing runtime protection at multiple layers. It guards against prompt injections and malicious instructions by analyzing inputs before they reach your model, redacts personally identifiable information and secrets from text automatically, and scans repositories for AI agent-targeted attacks such as repo poisoning. The approach embeds safety checks directly into your application rather than relying on external services alone, enabling you to prove compliance to customers through transparent, auditable protection.
Superagent suits teams building production AI applications who need to demonstrate security posture to users or regulatory stakeholders. It works with any model provider including OpenAI, Anthropic, Google, Groq, and Bedrock, and supports both cloud-based and self-hosted deployments through open-weight models that run on your infrastructure with low latency. The project offers TypeScript and Python SDKs for direct embedding, a command-line tool for testing, and an MCP server for integration with Claude Code and Claude Desktop. The MIT license provides full transparency into the safety mechanisms protecting your application.
Development activity shows consistent engagement across multiple integration pathways, with maintained SDKs in both TypeScript and Python alongside tooling for different deployment contexts. The project maintains active community channels and documentation resources, indicating ongoing support for users integrating the safety layer into their workflows.
