Superagent

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 Repository  6,496  958

PIVOTED from agent framework to AI safety/guardrails — protects AI apps against prompt injections, data leaks

ai-safety guardrails prompt-injection data-leak-prevention pivoted
SDK SDK/Framework Beta Maintained

Key Features

Multi-Agent
Single Agent
Human-in-the-Loop
Streaming
Async Support
Type Safe
Short-Term Memory
Long-Term Memory
Shared Memory
Plugin System
Custom Tools
MCP Protocol
A2A Protocol
Code Execution
Web Browsing
File System Access
Sandboxing
Guardrails
Structured Output
DAG Workflows
Visual Builder
CLI
API Server
Self-Hosted
Cloud Hosted

Community Feedback

Strengths

  • Important AI safety niche
  • Open-source
  • Low-latency (50-100ms)
  • No data leaves environment

Weaknesses

  • Pivoted significantly from original agent framework concept
  • Smaller community
  • Documentation may lag behind current state

Superagent Details

OrganizationSuperagent AI
Organization TypeCompany
CategorySDK
SubcategorySingle agent
DeploymentSDK/Framework
Primary LanguageTypeScript
LicenseMIT
Commercial UseUnrestricted
GitHub Stars6,496
GitHub Forks958
Release CadenceIrregular
MaturityBeta
Pricing ModelFree
Free TierFully free and open-source (MIT)
Self-Hosted FreeYes
Cost Modelfree + LLM costs
Community SizeSmall-medium (6.5k stars)
Community ActivityModerate
SentimentMixed
GPU RequiredNo
ConfidenceMedium
Research Date2026-03-24

Use Cases

Similar Tools

Guardrails AISuperagent focuses on safety, Guardrails AI on output validation

When to Use

Best for: Adding safety guardrails to AI agent applications

Avoid when: Looking for a general agent framework — it pivoted

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Release v20260324