Praex vs Singularity: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Praex and Singularity — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Praex

Freemium

Open-source AI coding copartner with its own Velox, Faber and Lucia models, available in terminal, mobile and web.

Own Model Family: Velox II, Faber II and Lucia II are tuned and served by Praex on its own infrastructure, sized from quick edits to frontier-scale problems.
Terminal CLI: Install with a one-line script and let the agent read files, run commands, edit code and verify tests directly in your terminal.
Cross-Device Sessions: Start a task in the terminal, steer it from your phone and review it on the web with the same agent, memory and session.
Bring Your Own Keys: Run Praex on any model with your own API keys or hardware at no extra cost.
Open-Source Core: The CLI is an MIT-licensed fork of opencode, so the agent harness can be inspected and modified.
No Sign-Up Chat: Start chatting on the web with the free Velox II model without creating an account.

Fixing Failing Builds: Hand the agent a broken deploy and let it read configs, run tests and patch source until tests pass.
Everyday Quick Edits: Use the free Velox II model for instant answers and small code changes in the terminal.
Deep Reasoning Tasks: Escalate to Faber II on Pro for complex coding and multi-step reasoning.
Mobile Task Steering: Kick off a refactor at your desk and monitor or redirect it from your phone.
Self-Hosted Workflows: Point the CLI at your own models or keys to keep code on infrastructure you control.

Meteor Factory

Freemium

Agentic development environment that orchestrates parallel AI coding agents through tickets, isolated worktrees, Git and a built-in editor.

Atomic tickets: Each unit of work gets a finite scope, its own context, a branch and a single agent
Isolated worktrees: Agents work in separate Git worktrees so changes can be reviewed before integration
Context injection: Relevant skills are loaded automatically so context stays minimal and targeted
Integrated Git: Branches, graph, stash, hooks and review built into the app
Multi-project orchestration: Run agents across many repositories in parallel without context leakage
Native notifications: macOS alerts when an agent completes or fails
DevOps profile (beta): Detects failing CI, opens a repair ticket and relaunches the deployment
Built-in editor and terminal: Language servers and a terminal alongside the agent board

A developer splits a feature into tickets and lets several agents build parts of it in parallel worktrees
A team reviews each agent's diff in the built-in Git view before merging into the main branch
An engineer fixes a bug in one repo and its dependent service in a single multi-project ticket
A tech lead monitors a board of tickets and gets a macOS notification when an agent fails
A team lets the DevOps profile open a repair ticket automatically when a CI pipeline breaks