Paseo – Open-source coding agent interface (desktop, mobile, CLI)
Hey HN, I'm Mo. I'm building Paseo, a multi-platform interface for running Claude Code, Codex and OpenCode. The daemon runs on any machine (your Macbook, a VPS, whatever) and clients (web, mobile, desktop, CLI) connect over WebSocket (there's a built-in E2EE relay for convenience, but you can opt-out). I started working on Paseo last September as a push-to-talk voice interface for Claude Code. I wanted to bounce ideas hands-free while going on walks, after a while I wanted to see what the agent was doing, then I wanted to text it when I couldn't talk, then I wanted to see diffs and run…
What it does
In the maker’s words, at launch
Hey HN, I'm Mo. I'm building Paseo, a multi-platform interface for running Claude Code, Codex and OpenCode. The daemon runs on any machine (your Macbook, a VPS, whatever) and clients (web, mobile, desktop, CLI) connect over WebSocket (there's a built-in E2EE relay for convenience, but you can opt-out). I started working on Paseo last September as a push-to-talk voice interface for Claude Code. I wanted to bounce ideas hands-free while going on walks, after a while I wanted to see what the agent was doing, then I wanted to text it when I couldn't talk, then I wanted to see diffs and run multiple agents. I kept fixing rough edges and adding features, and slowly it became what it is today. What it does: - Run multiple providers through the same UI - Works on macOS, Linux, Windows, iOS, Android, and web - Manage agents in different machines from the same UI - E2EE Relay for mobile connectivity - Local voice chat and dictation (NVIDIA Parakeet + Kokoro + Sherpa ONNX) - Split panes to work with agents, files and terminals side by side - Git panel to review diffs and do common actions (commit, push, create PR etc.) - Git worktree management so agents don't step on each other - Docker-style CLI to run agents - No telemetry, no tracking, no login Paseo does not call inference APIs directly or extract your OAuth tokens. It wraps your first-party agent CLIs and runs them exactly as you would in your terminal. Your sessions, your system prompts, your tools, nothing is intercepted or modified. Stack: The daemon is written in Typescript. The app uses Expo and compiles to both native mobile apps and web. The desktop app is in Electron (I started with Tauri and had to migrate). Sharing the same codebase across different form factors was challenging but I'd say that with discipline it's doable an the result has been worth it, as most features I build automatically work in all clients. I did have to implement some platform specific stuff, especially around gestures, audio and scroll behavior. The relay is built on top of Cloudflare DO, so far it's holding up quite well. I love using the app, but I am even more excited about the possibilities of the CLI, as it become a primitive for more advanced agent orchestration, it has much better ergonomics than existing harnesses, and I'm already using it to experiment with loops and agent teams, although it's still new territory. How Paseo compares to similar apps: Anthropic and OpenAI already do some of what Paseo does (Claude Code Remote Control, Codex app, etc.), but with mixed quality and you're locked onto their models. Most other alternatives I know about found are either closed source or not flexible enough for my needs. The license is AGPL-3.0. The desktop app ships with a daemon so that's all you need. But you can also `npm install -g @getpaseo/cli` for headless mode and connect via any client. I mainly use Mac, so Linux and Windows has mostly been tested by a small group of early adopters. If you run into issues, I’d appreciate bug reports on GitHub! Repo: https://github.com/getpaseo/paseo Homepage: https://paseo.sh/ Discord: https://discord.gg/jz8T2uahpH Happy to answer questions about the product, architecture or whatever else!
Does the same job
all alternatives →- PAPaseo, an open source environment for coding agentsMar 2026 · github.com · ▲6
Hey HN, I'm Mo. I've been building Paseo, an open source environment for running Claude Code, Codex, and OpenCode across desktop, mobile, web, and CLI. It started last September as a push-to-talk voice interface for Claude Code. I wanted to talk to an agent while going on walks. Then I wanted to see what it was doing. Then text it when I couldn't talk. Then review diffs, run multiple agents, and manage work across machines. After a lot of iteration, it turned into a broader environment. The basic model is: - A daemon runs on your machine (MacBook, desktop, VPS, etc.). - Clients connect to it…
- PRPaseo – Run coding agents from your phone, desktop, or terminal (FOSS)Mar 2026 · github.com · ▲5
Hey HN, I built Paseo because i kept SSHing into tmux from my phone to check on agents while on walks, it worked but the UX was rough. I started building a voice-only app for agents but after dogfooding and iterating for months I ended up with this. Both Anthropic and OpenAI are working on versions of this but I didn't like them and I didn't want to be locked into their respective models. Paseo takes a different approach: a daemon runs on your machine and you connect to it from any device. your code never leaves your machine. - Works with Claude Code, Codex, and OpenCode, just launches their…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
