Orbital PAI vs Reyn

Orbital PAI and Reyn are both personal assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Orbital PAI

Built on Elixir/Phoenix for low-latency local execution, it handles calendar management, email, reminders, weather queries, and web search through a tool-calling brain that chains steps without you scripting the handoffs. Persistent memory means it carries context across sessions rather than starting blank every conversation. The self-hosted path is real — there is a Dockerfile and docker-compose.yml in the repo. The warning the maintainers put at the top of the README is not decorative: the project is under heavy active development, which means APIs shift, documented behavior changes, and any deployment you build today is maintenance work tomorrow.

Reyn

Reyn passively records screen activity and surfaces it through a Q&A interface — ask what you worked on yesterday, and it pulls an answer from your actual session history, not from a search index you remembered to populate. A morning email digest recaps open items and recent completions, so you're not reconstructing your week at standup. The workflow capture feature watches you complete a process once, then documents the steps — which is useful for handing off SOPs without writing them from scratch. The hard ceiling appears the moment you need this on Windows or in a team context: Reyn is Mac-only and the data model is per-device, not shared. Teams that need collaborative activity logging or cross-platform coverage will find no path forward here.

Attribute	Orbital PAI	Reyn
Pricing	Free	Paid
Price	—	$20/mo
Free trial	No	No
Open source	Yes	No
Has API	No	No
Self-hosted option	Yes	No
Platforms	Web (PWA), Self-hosted (Elixir/Phoenix, Docker)	Mac
Pros	Self-hosted by design with a Dockerfile and docker-compose.yml included, so voice data never leaves your infrastructure — teams handling sensitive personal information avoid the compliance questions that come with cloud-dependent assistants. Tool-calling brain chains calendar writes, email sends, web searches, and reminders in a single spoken request, so you are not scripting multi-step workflows manually the way you would with a simple command-dispatch system. Persistent memory across sessions carries user context forward, meaning the assistant does not ask you to re-explain your preferences every conversation the way stateless assistants do. Elixir/Phoenix concurrency handles overlapping I/O stages in the voice pipeline — STT, tool execution, TTS — without blocking, which means response latency stays low even when a tool call takes a moment to return. MIT license with full source access means you can modify the core behavior, swap out underlying models, or strip out capabilities you do not need — without waiting for a vendor roadmap.	On-device screen journaling means your screen contents — client work, code, internal docs — never transit a vendor's cloud, so you get AI-powered recall without the data exposure that cloud activity trackers carry. Live screen context at query time, not just historical indexing, so answers about 'what am I looking at right now' are grounded in the actual present state of your desktop rather than a stale snapshot. Workflow capture documents a process from a single live run-through, so you can hand off SOPs to a teammate without separately writing documentation after the fact. Morning email digest surfaces open items and recent completions automatically, so you're not reconstructing your week from memory at the start of each day. Multi-provider AI support, so you're not locked to one model vendor — if API costs or model quality shift, you switch providers without changing how your screen data is stored.
Cons	The maintainers flag the project as under heavy active development at the top of the README, which means any integration you build against the current API surface is at risk of breaking on the next commit — teams that need a stable deployment skip this until a tagged stable release exists. No API surface is exposed, so if your use case requires another service to trigger the assistant or consume its output programmatically, there is no endpoint to call — teams with that requirement wire up a different tool or build the interface layer themselves from source. The Elixir/Phoenix stack is the whole runtime, not an optional layer — teams without BEAM experience face a steep operational learning curve for debugging, monitoring, and extending the assistant, and when something breaks at 2am the docs assume you already know how Elixir supervision trees work. Zero community pull requests and two stars on the repository at the time of scraping means the bug surface is whatever the maintainers have personally tested — teams evaluating this against a voice assistant with an active contributor base and documented issue resolutions will find nothing equivalent here, and if the project goes dormant, maintenance falls entirely to the fork.	Reyn is Mac-only with no Windows support or self-hosted option described anywhere on the vendor page — a user who splits their work across platforms loses the journal entirely for their non-Mac sessions, and there is no documented path to extend coverage. The data model is per-device and there is no API or shared workspace feature, which means workflow documentation captured by Reyn cannot be accessed by a teammate directly from the tool — teams expecting a shared activity log or collaborative SOP repository will need a separate system, at which point Reyn becomes a personal note-taking layer rather than a team workflow tool. AI inference routes through external model providers, so the local-first claim applies only to raw screen data — queries still require an outbound call to whichever AI provider you configure, which means teams operating in fully air-gapped environments cannot use Reyn as described.

Bottom line

Orbital PAI is free while Reyn is paid; Orbital PAI is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Orbital PAI and Reyn?

Orbital PAI is Free and open source, while Reyn is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Orbital PAI better than Reyn?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.