securellm-agentguard is an experimental toolkit that adds security guardrails to LangChain agent code execution. It uses Docker-based sandbox isolation to contain potentially malicious agent actions. Designed for developers building with LLMs and agentic AI, it helps mitigate risks associated with executing generated code from language models like Gemini.
securellm-agentguard is a Developer Tools project. Safely executing untrusted code from LangChain agents without compromising the host environment. securellm-agentguard is an open-source project aimed at developers. securellm-agentguard is open source under the MIT license. It runs on the command line, and it can be self-hosted.
Behind securellm-agentguard is Thomas LEON, and it first shipped in 2026. Development happens publicly on GitHub with 24 commits in the last 90 days. Among its 4 catalogued features are Docker Sandbox, Agent Isolation, and Security Guardrails. It exposes integrations via a public API. securellm-agentguard is currently in beta.
Summary written by a language model from the project’s public pages.
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