superagent
Enrichment pendingSuperagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.
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Trust & integrity
Full report- Maintenance
- Slowing (91d since push)
- As of today · Source: github_public_v1
- Provenance
- Not a fork · Organization account
- As of today · Source: github_public_v1
- Security (OSV)
- No lockfile
- As of today · Source: none
Public GitHub metadata and optional OSV dependency scans. Signals, not a guarantee. Trust methodology.
Overview
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.
Capability facts
- Languages
- typescript
Source: github.language · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
npm install safety-agentSource link
Source: README excerpt (regex_v1, Jul 11, 2026)
| **MCP Server** | Use with Claude Code and Claude Desktop | [mcp](mcp/README.md) |Source link
Tags
README
Superagent SDK
Make your AI apps safe.
Website · Docs · Discord · HuggingFace
An open-source SDK for AI agent safety. Block prompt injections, redact PII and secrets, scan repositories for threats, and run red team scenarios against your agent.
Features
Guard
Detect and block prompt injections, malicious instructions, and unsafe tool calls at runtime.
TypeScript:
import { createClient } from "safety-agent";
const client = createClient();
const result = await client.guard({
input: userMessage
});
if (result.classification === "block") {
console.log("Blocked:", result.violation_types);
}
Python:
from safety_agent import create_client
client = create_client()
result = await client.guard(input=user_message)
if result.classification == "block":
print("Blocked:", result.violation_types)
Redact
Remove PII, PHI, and secrets from text automatically.
TypeScript:
const result = await client.redact({
input: "My email is john@example.com and SSN is 123-45-6789",
model: "openai/gpt-4o-mini"
});
console.log(result.redacted);
// "My email is <EMAIL_REDACTED> and SSN is <SSN_REDACTED>"
Python:
result = await client.redact(
input="My email is john@example.com and SSN is 123-45-6789",
model="openai/gpt-4o-mini"
)
print(result.redacted)
# "My email is <EMAIL_REDACTED> and SSN is <SSN_REDACTED>"
Scan
Analyze repositories for AI agent-targeted attacks such as repo poisoning and malicious instructions.
TypeScript:
const result = await client.scan({
repo: "https://github.com/user/repo"
});
console.log(result.result); // Security report
console.log(`Cost: $${result.usage.cost.toFixed(4)}`);
Python:
result = await client.scan(repo="https://github.com/user/repo")
print(result.result) # Security report
print(f"Cost: ${result.usage.cost:.4f}")
Test
Run red team scenarios against your production agent. (Coming soon)
const result = await client.test({
endpoint: "https://your-agent.com/chat",
scenarios: ["prompt_injection", "data_exfiltration"]
});
console.log(result.findings); // Vulnerabilities discovered
Get Started
Sign up at superagent.sh to get your API key.
TypeScript:
npm install safety-agent
Python:
uv add safety-agent
Set your API key:
export SUPERAGENT_API_KEY=your-key
Integration Options
| Option | Description | Link |
|---|---|---|
| TypeScript SDK | Embed guard, redact, and scan directly in your app | sdk/typescript |
| Python SDK | Embed guard, redact, and scan directly in Python apps | sdk/python |
| CLI | Command-line tool for testing and automation | cli |
| MCP Server | Use with Claude Code and Claude Desktop | mcp |
Why Superagent SDK?
- Works with any model — OpenAI, Anthropic, Google, Groq, Bedrock, and more
- Open-weight models — Run Guard on your infrastructure with 50-100ms latency
- Low latency — Optimized for runtime use
- Open source — MIT license with full transparency
Open-Weight Models
Run Guard on your own infrastructure. No API