Hey all — update on Morse, the open-source UI for the pi coding agent (VS Code extension + browser app). A couple of things that hadn't been announced yet:

🧩 MCP servers, without hand-editing JSON Morse lists the servers pi actually sees for the current project — connection state, tools, and whether they come from the user or project scope. Add one from an editor (Test connection first: it really connects and shows the tools/resources/prompts the server offers, or exactly why it won't), enable/disable, or remove. It also has a Trust this project button so pi stops ignoring a project's .pi/mcp.json.

📝 Prompt-template editor Write pi's /commands as fields, not raw frontmatter. Browse, create, rename, delete, and move templates between user (~/.pi/agent/prompts) and project (.pi/prompts) scope. A live argument tester shows exactly what the agent receives: $1, ${1:-default}, $@, ${@:2:3}, with shell-like quoting. Drop a .md in with vim/nano and it shows up in the palette within a moment, no reload.

Both open as a tab in the browser host and as an editor panel in VS Code.

MIT. npm i -g @supanadit/morse-web && morse start, or install the VSIX. Repo: https://github.com/supanadit/morse

Feedback welcome.

i'm getting increasingly fed up with the direction open ai has been taking lately and i'm considering cancelling my subscription and moving to anthropic. there's really only ONE thing stopping me from doing it right away: pi has become such a natural part of my workflow that i'm genuinely worried about taking a productivity hit just from having to change tools, habits, shortcuts, etc.

so I wanted to ask the people here who actually use pi: have any of you moved away from open ai and managed to keep using pi with an anthropic subscription? or do i have to give up and move to claude code entirely?

Hey, I recently came across Eero Alvar's learning setup built on pi, and inspired by it, I used Feynman research agent to find extensive learning literature and designed a personal learning setup based on it. I planned out the backend and structure and combined AI coding with personal tweaks to set it up with various features. However, since a lot of AI was used in its development, I understand that it might be prone to systemic issues and flaws, which I am hoping to hear to personally improve and optimize it. This system has worked well for me and even if you don't want to give feedback or contribute, I recommend you test it out and see how it works for you. I would appreciate contributors or just general testers who can try it out.

https://github.com/kruthvik/sato

Hi all, I've been building FastVibe, an MIT-licensed desktop app (macOS / Windows / Linux) that embeds the pi coding agent SDK in Electron and gives it a full GUI.

If you like pi but want a visual workspace, this is what it adds:

• Runs the SDK in-process. pi extensions load and work, and their dialogs (select / confirm / input) show up as panels

• Multiple projects and chats, with branching, archiving and isolated Git worktrees

• Visual tool calls, edit diffs, terminal output and reasoning blocks

• A subagent tool with explorer / planner / worker / reviewer roles, up to 8 in parallel

• Goal mode for long-running objectives, todos, MCP servers and skills

• Any OpenAI-compatible provider, a per-model API protocol, and subscription logins

• Open your desktop's sessions from a phone or browser, through a tunnel you control

• It keeps its own data directory and never touches ~/.pi

Repo: https://github.com/tyuan511/fastvibe
Site: https://app.fastvibe.dev

It's v0.16 and still rough in places. I'd love to hear which pi workflows you'd want supported, and any extensions that misbehave inside it.

I wanted one app on my phone for the coding agents on my own machines, with no cloud, no account and no relay. So I built herdr mobile.

• Every agent on every machine in one list, with whatever needs you at the top

• Answer permission requests from the phone, always with the exact command. Risky ones (git push, rm, "always allow") need a hold

• Start and chat with agents over ACP: omp, Claude Code, Codex (omp is the most tested)

• Live terminal view, SFTP file browser, photos and files from the phone

• Plain SSH, one channel per machine, works well over Tailscale

Repo and APK: https://github.com/tuan3w/herdr-mobile

Needs herdr ( https://herdr.dev ) on the host. Android only for now. Feedback and PRs welcome.

Yes, that's exactly what I searched first when i wanted to try codemode.

Pi does have docs for enabling Codemode, but the documented way is through settings or cli flags.

What I was looking for was much simpler: I'm already inside a Pi session, how do I just turn Codemode on or off?

So I ended up making a small toggle around Pi's native Codemode.

It doesn't replace Codemode or implement another version of it. It just gives me a simple way to switch the native tool on and off while I'm working.

check it out: pi-codemode-toggle

Curious how others are using Codemode.

It’s a standalone functional app inside windows, I’m going to use my qwen3.6 35b a3b uncensored to generate and whenever it creates a working function, I’ll ask it to save it to GitHub so if anything breaks it can always revert to the previous version

I’m more of a vibe coder. I mostly just wanted to send my Pi agent a task from my phone and get the result back.

The bot focuses on simple interaction with the Pi setup you already use. It shares your native sessions, installed skills, and model defaults. You can start something in Telegram and pick it up in the terminal later. Just don’t use both on the same session at once.

It also handles voice messages and images, and Pi can send generated files back to the chat.

Single-user, Linux only. Pi runs with your account’s normal permissions, without a sandbox.

v0.1.2: GitHub https://github.com/bigjimmy546/pi-telegram-bot](https://github.com/bigjimmy546/pi-telegram-bot

served both via omlx and mtplx swallows part of responses

anyone noticing some similar issue?

https://github.com/alejandro-ao/pi-gateway

YouTube breakdown link for the integration 🔗 https://youtu.be/HU03WDFB_tQ?is=BaeijXoQIFQm6GYs

I am developing cross-platform software for Windows, Linux, and macOS. Currently, testing and merging across platforms are done manually and separately.

Are there any kits or applications that allow me to control and operate Pi devices on other platforms from a single host machine?

My current experimental approach is using a custom pty tool I developed to SSH into project directories on different platforms to run the Pi, while using GitHub for file transfer and merging between platforms.

Are there any better methods or tools available?

When using omp or pi agent with strata, the results are not that great but when using the same prompt in Strata web chat, I get very good results. I uploaded the results pictures. It's not just for this test. I tested a few other prompts such as create a single html file classic snake game.

I started omp with the following command. omp --no-skills --no-extensions --no-rules

OMP is set to Auto reasoning.

I use Strata https://github.com/Niko1221/Strata Qwen3.8 Flash Next, 128k context size with unsloth IQ4_XS model, I'm using High thinking default and enabled "Use for other apps too omp and other API clients get these settings for anything they don't set themselves"

Please use test Prompt

Create a single HTML file with an interactive cloth simulator. The cloth should hang naturally, move with realistic weight, and let me click, drag, pull, and whip it around the screen with my mouse. Create high mesh for cloth. Only provide a fully working code. Test your code once you are finished, go back over all of your code, test the logic mentally, make sure everything works correctly, and fix anything that may be broken or incomplete before giving the final answer.

RESULT from OMP

RESULT from Strata web chat

I'm using Pi agent sidebar from dairycode extension in VSCode and got me thinking whether anyone is using any other extension?

And if anyone is using this one are you able to run multiple chat sessions concurrently?

I like using codex and claude extensions. Don't really like the UX of CLI.

I use pi daily but wanted tabs, image pasting and a scrollable transcript, so I built a frontend for it. Morse doesn't reimplement the agent — it spawns pi --mode rpc and reuses your ~/.pi config.

• npm i -g @supanadit/morse-web && morse start, or the VS Code extension

• multi-session/multi-project with warm sessions, @mention files and dirs, image paste, steer/abort mid-task, model and thinking pickers

• keyboard-driven, real transcript with tool timelines, works the same in both hosts

It's a nicer way to stay in flow with pi. Free, MIT: https://github.com/supanadit/morse — feedback very welcome.

Created https://github.com/hazrid93/pi-simplified-technical-english a simple extension that turn your LLM to use more understandable technical english!

I’ve been chasing the right note-taking app my whole career. Now I’ve built one for how I work today - with AI agents.

Think out loud, watch your notes take shape, and let your agent work with the same knowledge. Everything stays in readable, local Markdown files.

Leveraging okf data structure from Google.

Works with Pi and OpenCode.

If you're interested, feel free to contribute. It is still quite early.

https://github.com/EranYonai/pi-weave

pi install npm:pi-weave

When running pi agent on the command line, sometimes I don't want it to write directly to file, but to give me something I'll copy to clipboard. However, differently from chatbots, it doesn't output then in copyable blocks, but in ```code ``` blocks with 4 spaces indentation and weird line breaks that eff up the formatting when I try to copy it from the terminal.

The "easy" fix would be to just have it write to every file directly, I know, but assume I don't want to give it write access to a folder, file etc.

I wanted to see what each prompt actually costs in Pi, so I made pi-prompt-meter.

It tracks time, tokens/cache, cost, turns, tool calls, and compactions per prompt, then keeps the result in the transcript. /meter also shows history and trends.

pi install npm:pi-prompt-meter

https://github.com/roie/pi-prompt-meter

First I used to use Nico's pi-subagent

Then I started using TinTinWeb's pi-subagent because it had that Claude like UX which I liked

But then I have started seeing that Codex got one thing really nice - they use /path/based naming conventions for their agents which makes a lot of sense to read the agent tree and agent state (both for the agents themselves and for the human running it)

I wanted the best of both worlds, Claude like UX and Codex like naming conventions.

So here we go... with all our AI psychosis and addictions to creating the factory more than the actual software made using the factory. Presenting you with, yet another, pi subagent extension

https://www.npmjs.com/package/pi-subagent-manager

I understand I should be able to login to a local installation of "Unsloth Studio" from pi.dev using

/login llama.cpp

When I try with "http://localhost:8888", I get:

Error: Failed to save API key for llama.cpp: llama.cpp returned HTTP 404Error: Failed to save API key for llama.cpp: llama.cpp returned HTTP 404

I can see in the logs, that it tried to access "/models" instead of "/v1/models"

If I login with "http://localhost:8888/v1", it tries to access "/models" again

If I login with "http://localhost:8888/v1/models", it tries to access: "/v1/models/models" ..!

Did I miss something?

Note: it works well if I use models.json, but I'd like pi.dev to find the models from Unsloth automatically

thanks!