We attack your production system to surface data leaks, harmful outputs, and unwanted actions. Fix them before your users encounter them.
Building the infrastructure for AI systems people can trust. AI agents fail in ways traditional software does not. Data leaks, unauthorized actions, harmful outputs. These failures happen even when the system appears to work correctly by traditional software engineering standards. We believe safety should be provable, not promised. Superagent exists to close the gap between what AI agents can do and what teams can confidently deploy. Before LLMs existed, they built a startup that automated advertising for e-commerce companies using proprietary algorithms. The company was acquired. They have experience from companies including Google, SKF, Klarna, and Trustly.
Mentions (30d)
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Platforms
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GitHub Stars
6,501
960 forks
Features
Industry
information technology & services
Employees
2
Funding Stage
Seed
Total Funding
$0.1M
426
GitHub followers
20
GitHub repos
6,501
GitHub stars
20
npm packages
6
HuggingFace models
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Deep analysis of superagent-ai/superagent — architecture, costs, security, dependencies & more
Superagent uses a tiered pricing model. Visit their website for current pricing details.
Key features include: Open Source, Resources, Community, Company.
Superagent has a public GitHub repository with 6,501 stars.