Nicheloom

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Run LLMs in Docker for any language without prebuilding containers

Details

External ID
46615530
Source
HN
Company
—
Product
Run LLMs in Docker for any language without prebuilding containers
Website domain
github.com
Launched
Jan. 14, 2026
Cohort
—
Upvotes
26
Upvotes percentile
0.6903820816864296
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

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

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
run llms in docker across languages
Manually corrected
False

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 — 197 launches clear the similarity bar, closest 8 shown.

Attention rank: #64 of 198 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 64 days after the earliest competitor.

Other launches for this product

Same idea, different domain

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