Run LLMs in Docker for any language without prebuilding containers
I've been looking for a way to run LLMs safely without needing to approve every command. There are plenty of projects out there that run the agent in docker, but they don't always contain the dependencies that I need. Then it struck me. I already define project dependencies with mise. What if we could build a container on the fly for any project by reading the mise config? I've been using agent-en-place for a couple of weeks now, and it's working great! I'd love to hear what y'all think
Run LLMs in Docker for any language without prebuilding containers launched on January 14, 2026 with 26 votes, #663 of 14,584 launches that month and more than 95% of that year's launches.
In plain words
Agent-en-place dynamically builds Docker containers to safely run large language models for any programming project by reading project dependencies from mise configuration files. Rather than requiring pre-built containers with fixed dependencies, it generates containerized environments on-the-fly tailored to each project's specific needs. The tool is designed for developers who want to execute LLM agents securely without manually approving individual commands, and who work across multiple projects with varying language and dependency requirements.
written from the facts on this page · September 2026
From the sources
Contribute to mheap/agent-en-place development by creating an account on GitHub.
Build on-demand Docker containers for projects + agentic coding using mise . brew install mheap/tap/agent-en-place Build from source git clone https://github.com/mheap/agent-en-place cd agent-en-place go build # Move binary to your PATH mv agent-en-place /usr/local/bin/ Download binary Download the latest release for your platform from GitHub Releases . Define a function in your .bashrc / .zshrc / other shell config file agent-en-place can be customized via YAML configuration files. See docs/config.md for the full configurationfrom github.com
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