agent-governance-toolkit
AI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.
Adding policy enforcement, identity and sandboxing around agents you already run.
You are looking for an agent framework rather than a control layer over one.
About agent-governance-toolkit
Policy enforcement, identity, sandboxing, and SRE for autonomous AI agents. One pip install, any framework.
Your AI agents call tools, browse the web, query databases, and delegate to other agents. Once deployed, they make decisions autonomously. You need answers to three questions:
Prompt-level safety ("please follow the rules") is not a control surface. It is a polite request to a stochastic system. OWASP LLM01:2025 states this explicitly: "it is unclear if there are fool-proof methods of prevention for prompt injection." The published numbers back this up. Andriushchenko et al. (ICLR 2025) report 100% attack success rate on GPT-4o, GPT-3.5, Claude 3, and Llama-3 using adaptive attacks with logprob access and suffix optimization, evaluated against the JailbreakBench be…
agent-governance-toolkit is an open-source project written primarily in Python, with 6.4k stars on GitHub. It was last updated in September 2026.
pip install agent-governance-toolkit[full]agent-governance-toolkit vs. the alternatives
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| agent-governance-toolkitthis listing | 6.4k | Python | MIT | Open source |
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