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Today: 1,953 launches · Niche of the day: specialized calculation tools · See what launched today →

Run LLMs in Docker for any language without prebuilding containers

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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

HN · launched Jan 14, 2026 · 26 upvotes (top 31%) · 0 views

Niche: ai agent execution sandboxes · 137 launches, 6 in the last 7 days ▼ -25% · Explore this niche →

Category and tags
  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Commercial product

Visit website ↗ Source listing ↗

More like this: all 137 launches in ai agent execution sandboxes →

Could you build this?

Yes This project dynamically mounts local environment dependencies (like `mise`) into Docker containers when running LLM agent commands. An AI assistant can easily generate the Docker execution logic and CLI orchestration script.

Discussion

8 comments analyzed.

Competitors mentioned: Dagger (BuildKit-based), Firecracker VMs, Docker, claudebox (Linux user namespaces + bubblewrap + Nix), CUE + Dagger integration (hof project)

Concerns raised: Feature is commoditized, many similar solutions exist, Node.js instrumentation overhead vs. alternatives, Not idiomatic Go implementation, Multiple config files instead of single unified file

Feature requests: Infer environment requirements automatically from language files, Single config file instead of multiple files, VS Code integration, Support for point-in-history environment execution

Competitors

Other products that read as similar to this one : 363 launches clear the similarity bar, closest 8 shown.

Attention rank: #142 of 364 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 76 days after the earliest competitor.

Related data

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