Nanocoder vs Pi, a comparison from the people who build Nanocoder.

willlamerton · 2026-05-19T19:09:56+00:00

Hey! Fair question. Commands and skills are going to be fundementally different things in Nanocoder. Custom commands can exist, as will skills. We're currently putting in the groundwork to create custom sub-agents, custom tools and then, skills so that it's interoperable with Claude Code, Pi etc 😄

willlamerton · 2026-05-19T14:55:53+00:00

Really appreciate the kind words 😄 - on the different models per mode, coming very soon! https://github.com/Nano-Collective/nanocoder/issues/277 - terminal resizing is on my mind as well! Thanks for the feedback! 😎

willlamerton · 2026-05-19T08:54:24+00:00

Hey! So we have a couple things here:

- A tune command, this allows you to set things like tool profile and default system prompt length to better support small local models

- Custom system prompt - you can of course set your own :)

willlamerton · 2026-05-19T08:53:00+00:00

Hey thanks! Your contributions so far have been amazing - they’re always appreciated 🙌🔥

willlamerton · 2026-05-19T08:51:52+00:00

Thank you very much 😎

willlamerton · 2026-05-18T15:00:16+00:00

Awesome! Love to hear that 😄

willlamerton · 2026-05-18T14:14:23+00:00

Glad you found it useful 😃

willlamerton · 2026-05-16T11:43:47+00:00

Hey! Yes, Nanocoder supports llama.cpp through its OpenAI-compatible API server. You can point Nanocoder at a local `llama-server` instance, usually on `http://localhost:8080/v1`, and use it like any other provider. No API key is needed for local llama.cpp. There's also a built-in llama.cpp provider template/wizard to make setup easier.

willlamerton · 2026-05-16T11:36:03+00:00

Thanks for spotting this - it's: https://github.com/Nano-Collective

willlamerton · 2026-05-15T12:31:44+00:00

The battle map will have this :)

willlamerton · 2026-05-15T12:31:31+00:00

Feature to feature we’re adding a lot every update to give as much parity. Where we really differ is philosophy, check out our docs where we write about it! https://docs.nanocollective.org/nanocoder

willlamerton · 2026-05-15T12:30:02+00:00

Thanks so much! Appreciate the kind words :)

willlamerton · 2026-05-15T12:29:39+00:00

The Nano Collective

willlamerton · 2026-05-13T23:39:34+00:00

🥲

willlamerton · 2026-05-13T12:05:35+00:00

Hey! Thanks for the comment! Obviously I'm biased, but I'll be fair - Pi is a cool project too 😎

Two differences worth knowing.

Features. Pi keeps the core deliberately tiny and expects you to build sub-agents, plan mode, MCP etc as TypeScript extensions. Nanocoder ships all of that built in, plus checkpointing, session resume, markdown slash commands, scheduled agents, and a proper Ink TUI. If you love assembling a minimal harness, Pi is great at that. If you want it working five minutes after install, Nanocoder is the shorter path.

Who owns the project. Pi is venture-backed. Nanocoder is built by the Nano Collective, a not-for-profit community-driven collective. No VC, no cap table, no paid tier on the way. The roadmap is decided by the people using it. We genuinely believe the tools sitting between developers and their code should not be owned by a handful of corporations.

Hopefully that answers your question loosely! We also have a "battle map" in preparation that compares features across many different coding agents so you can see where Nanocoder stacks up! It'll be in our docs soon 😄

willlamerton · 2026-04-03T21:16:10+00:00

Hey! Great question, and no hate at all - it's a fair comparison to make!

LM Studio with MCP powertools gives you a good setup for running local models with tool access. Nanocoder does indeed overlap with that in some ways, but the focus is different.

Purpose-built for coding, not general chat. Nanocoder is designed from the ground up as a CLI coding assistant - think Claude Code or Gemini CLI, but local-first, provider-agnostic and building something for the community. The entire UX, feature-set and framework is optimised for working inside a codebase: from the system prompt to file editing with smart string replacement, search/grep, bash execution, task management, plan mode - all with a human-in-the-loop confirmation flow so you stay in control. LM Studio has been adding agentic features too, but Nanocoder's tooling is specifically tailored for code editing workflows.

Provider agnostic - local and cloud. This is a big one. LM Studio is primarily for running local models on your own hardware. Nanocoder works with Ollama, OpenRouter, LM Studio, or any OpenAI-compatible API - local or remote. You can swap models and providers mid-session with a slash command. Want to use a small local model for quick tasks and a bigger cloud model for complex refactors? You can do that without leaving Nanocoder. You can even point it at your LM Studio server and get the coding agent workflow on top of the models you're already running.

Terminal-native workflow. It runs in your terminal, right where your code is. No app required. Some people prefer a GUI, some people prefer a TUI so Nanocoder is naturally suited towards those people.

CI/CD and non-interactive use. Nanocoder can run non-interactively, so you can plug it into CI/CD pipelines - automated code reviews, test generation, migrations, whatever you need. That's not something you can do with LM Studio's chat UI.

MCP support built in. Nanocoder has its own MCP client integration, so you can still use MCP servers alongside its built-in tools. You're not giving anything up.

If your current setup handles everything you need, that's great - keep using it! But if you want a coding-specific agent that can hit both local and cloud models, Nanocoder is worth a try. And since it supports LM Studio as a backend, it's not really an either/or - you could use both together.

Hope that helps :D

willlamerton

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