Superagent

Superagent is an open-source runtime protection tool for AI agents and copilots. It inspects prompts, validates tool calls, and blocks threats in real time. The tool functions as a secure proxy between applications, models, and tools. SuperagentLM, its core safety model, analyzes traffic with sub-50ms latency to detect and mitigate risks.

Key threats addressed include prompt injections, which rewrite system prompts to hijack agent behavior. Data leaks involve secrets or sensitive information escaping through outputs or tool responses. Backdoors embed vulnerabilities in codebases or workflows via poisoned outputs. Superagent blocks these at runtime, ensuring safe execution.

Integration occurs at multiple points. For inference providers, it filters requests and responses at the API layer. In agent frameworks, it adds checks for unsafe inputs and tool calls. CI/CD pipelines receive scans to block unsafe code before deployment. Deployment options include hosted managed service for quick scaling and self-hosted for on-premise control.

Competitors like Lakera offer broader GenAI security with red teaming, while Superagent specializes in agentic threats under an MIT license. It provides free core functionality, with enterprise features in self-hosted setups. Users report effective blocking of real attacks, supported by community contributions on GitHub.

Practical implementation starts with installing the SDK via npm. Configure policies in “superagent.yaml” for models like GPT-5 or Claude Sonnet 4.5. Test with simulated threats from documentation, then integrate into production workflows for ongoing protection.