mpai vs siift: Features, Pricing & Which Is Better (2026)

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

mpai

mpai (open source)

Free

Terminal-native, open-source tool that lets a teammate join your live Claude Code or Codex session over a private tailnet.

Live Session Join: A teammate opens your in-flight Codex or Claude Code conversation from their own terminal without losing context.
Named Identity Prompting: Every prompt is attributed to the person who typed it, so audit trails show who steered the agent.
Private Tailnet Transport: Sessions travel over a Tailscale-style overlay network — no public relay, no third-party server.
Terminal-Native, No New IDE: Works with the CLI agents you already run; nothing changes about your editor or model.
Ephemeral Rooms: Start a short-lived room (e.g. 5-minute) for a quick pair session and it closes on its own.
Access Controls and Audit: Presence, transcript, list, and prompt routes all share the same access check with an audit log.
Open Source: Full source is on GitHub; self-host end to end.

Pair Debugging: Hand a stuck agent session to a teammate so they can prompt from their own terminal without cloning context.
Code Review of Agent Work: Reviewer joins live to steer or challenge the agent instead of reading the diff cold.
Onboarding: Senior engineer takes a junior through a real agent session in real time.
Long-Running Task Hand-off: Pass a multi-hour Codex refactor to the next shift without losing the running conversation.
Security-Conscious Teams: Collaborate on agent work without routing traffic through a hosted SaaS relay.

Freemium

An agentic AI operating system that helps founders map, validate and execute business strategy on one intelligent canvas.

Intelligent Business Canvas: A visual workspace that maps ideas, assumptions, actions and results into decision-ready filters so the whole business can be seen at once.
Living Memory System: A scalable agentic memory that learns as the business evolves and keeps context aligned across tools, data and teammates.
AI-Scored Validation: Automated, continuous research that grades assumptions into evidence so founders know what is validated and what is still risky.
Five-Stage Execution Loop: Guided progression through Ideate, Validate, Build, Go To Market and Scale, each with its own AI-driven workflow.
Safe Stack Automations: Human-in-the-loop actions across 80+ popular applications so approved work executes without leaving the canvas.
Shareable Workspaces: Collaborative views that let teammates, advisors and other stakeholders work from the same strategy context.
Proactive Next-Step Guidance: Personalized, iterative advice that surfaces the highest-leverage action rather than a generic checklist.
Credit-Based AI Usage: Monthly request credits scaled by plan and weighted by task complexity, with unlimited projects even on the free tier.

Idea Validation: De-risking a new business concept by turning founder assumptions into automatically researched, scored evidence before building.
Strategy Mapping: Turning a cloud of unstructured ideas into a visual mind-map that exposes blindspots across the business model.
Go-To-Market Planning: Iterating on sales and marketing with an AI-native loop that tests which channels actually produce revenue.
Product Prioritization: Helping product leaders decide what to build next based on verified market opportunities rather than intuition.
Scaling Diagnostics: Systematizing an existing business to surface its current growth constraints and reverse-engineer fixes.
Advisor Collaboration: Sharing a single live strategy workspace with co-founders, advisors and investors instead of static decks.