Description
🖼️ Tool Name:
Superagent
🔖 Tool Category:
AI agent security & control framework / middleware for safe AI agent deployment
✏️ What does this tool offer?
Superagent acts as a protective layer ("defender") for AI agents. It monitors prompts, tool calls, and outputs in real time, to prevent malicious behavior (like prompt injection, backdoors, or data leakage).
It can be integrated at different levels: as a proxy, inside agent frameworks, or as part of CI/CD pipelines.
⭐ What does the tool actually deliver based on user experience?
• Runtime protection — Superagent inspects prompts, outputs, and tool calls on the fly to detect anomalies.
• Guarded tooling — It validates parameters before executing external tools to ensure safety.
• SuperagentLM — A specialized small language model used to reason about and block unsafe behaviors.
• Unified observability — Central dashboard, audit logs, policies, and compliance tracking.
• Multiple integration points — Can be deployed as a proxy, within the agent runtime, or in CI/CD to catch unsafe generated code before deployment.
🤖 Does it include automation?
Yes — the automation is about security and real-time guarding. It automatically filters or blocks unsafe prompts, tool calls, or responses without manual intervention.
💰 Pricing Model:
Open source (free to use) core, with premium or managed deployment options for enterprises.
🆓 Free Plan Details:
Core tooling is open-source under MIT license.
You can self-host the proxy/SDK to enforce safety across your agent infrastructure.
💳 Paid Plan Details:
For managed / cloud-hosted deployment or enterprise features (like enhanced observability, scaling, compliance support) — likely paid or custom. (Details not fully public)
🧭 Access Method:
• Use via proxy — route your AI traffic through Superagent for filtering.
• Use via SDKs (Python, TypeScript) — embed validations inside your app.
• Use via CLI — for managing Superagent configuration.
🔗 Experience Link:
https://superagent.sh