AgentTrust

by chenglin1112 · MCP Server · ★ 21

About AgentTrust

AgentTrust A deterministic safety floor and capability-control layer for tool-using AI agents. The first framework to gate dangerous operations, suggest a safer fix, track multi-step attack chains, and enforce least privilege — deterministically, before an action executes — and the first to learn from its own verdicts, distilling them into new rules and guarded semantic memory over time.

agentai-safetybenchmarkguardrailsllmmcppythonsecuritytrustworthiness

Quick Facts

Stars21
Forks7
LanguagePython
CategoryMCP Server
Quality Score62.5992358600461/100
Last Updated2026-06-11
Created2026-03-26
Platformsmcp, python
Est. Tokens~45k

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Frequently Asked Questions

What is AgentTrust?

AgentTrust is Real-time trustworthiness evaluation and safety interception for AI agents. Semantic analysis, safe alternative suggestions, multi-step attack chain detection, and LLM-as-Judge.. It is categorized as a MCP Server with 21 GitHub stars.

What programming language is AgentTrust written in?

AgentTrust is primarily written in Python. It covers topics such as agent, ai-safety, benchmark.

How do I install or use AgentTrust?

You can find installation instructions and usage details in the AgentTrust GitHub repository at github.com/chenglin1112/AgentTrust. The project has 21 stars and 7 forks, indicating an active community.

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