
AgentSeal
8.0#2 in ai red teaming toolsFrom $19 a monthFree planWebAPILinuxmacOS
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| Fact | AgentSeal | OpenSecureAI Scanner |
|---|---|---|
| Offline use | The CLI can run fully offline with a local Ollama model, with zero network calls and zero telemetry, according to the site. | The basic scanner engine runs locally in the browser, CLI or GitHub Action; authenticated API keys add hosted detections. |
| Privacy | The privacy policy says prompts are processed in real time and not retained, while scan results and metadata are kept for account history. | Browser tools process prompts locally, the public scan API does not persist submitted text, and authenticated scan history stores summaries rather than raw prompts. |
| Purpose | AgentSeal is an open-source security scanner and toolkit for testing AI agent prompts, auditing MCP servers, and detecting agent vulnerabilities. | OpenSecureAI describes its platform as tools, threat intelligence, and learning resources to protect AI systems from prompt injection, data poisoning, model theft, and emerging GenAI threats. |
| System requirements | The repository states Python 3.10+ or Node.js 18+ is required. | The scanner package targets Node.js 18 or newer, uses ESM and TypeScript types, and has zero runtime dependencies. |
AgentSeal suits teams assessing prompt and MCP-related security, including those integrating scans into CI. Its offline CLI option may suit users working with a local Ollama model.
It suits AI application teams, agent and MCP developers, security and compliance reviewers, learners, and red-teamers. Developers seeking text-scanning tools with API and command-line options may find it relevant.