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SuperAgent

by Community

Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.

S

OSS

SuperAgent

Added 1 June 2026

#ai #anthropic #guardrails #llm #openai #prompt-injection #security

Overview

SuperAgent is an open-source TypeScript library that embeds safety guards directly into AI applications to block prompt injections, prevent data leaks, and filter harmful outputs. It provides a compliance-ready layer that developers can integrate without external dependencies.

Best for

Best for
Developers building production AI apps that need built-in safety and compliance proof

Use cases

  • Protecting LLM-powered apps from prompt injection attacks
  • Preventing sensitive data from leaking through model outputs
  • Demonstrating safety compliance to customers or auditors

Notes

SuperAgent is an open-source TypeScript library that embeds safety guards directly into AI applications to block prompt injections, prevent data leaks, and filter harmful outputs. It provides a compliance-ready layer that developers can integrate without external dependencies.

6,615 stars on GitHub. Last updated 2026-04-11. Licensed MIT.

Use cases

  • Protecting LLM-powered apps from prompt injection attacks
  • Preventing sensitive data from leaking through model outputs
  • Demonstrating safety compliance to customers or auditors

Pros

  • Open source with 6.6k GitHub stars and active community
  • Simple drop-in integration written in TypeScript
  • Covers multiple safety vectors in one library

Cons

  • Community maintained, no official enterprise support
  • May require custom tuning for domain-specific threats
  • Focused only on safety, not a full API gateway or monitoring suite

Indexed from awesome-langchain and enriched against its public facts.

Pros

  • Open source with 6.6k GitHub stars and active community
  • Simple drop-in integration written in TypeScript
  • Covers multiple safety vectors in one library

Cons

  • Community maintained, no official enterprise support
  • May require custom tuning for domain-specific threats
  • Focused only on safety, not a full API gateway or monitoring suite