openrig vs Toki: Features, Pricing & Which Is Better (2026)

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

openrig

mvschwarz

Free

OpenRig is open-source software to define a team of Claude Code and Codex agents in YAML and run them as one persistent, managed system.

YAML Rig Definitions: Describe an agent team with roles in YAML and boot it with a single command.
Mixed Harnesses: Run Claude Code and Codex agents together in the same rig, managed as one system.
Lead Agent Coordination: Talk to a lead agent that coordinates specialists across teams and reports back decisions needing attention.
Persistent Teams: Keep team work and context at stable addresses instead of a pile of terminal sessions.
Terminal UI: View the rig as a graph or a table of seats showing runtime, model, context and state, with per-seat detail.
Guided First Use: A getting-started path installs, launches a two-agent team in your repository and produces one reviewed change.
Permission Allowances: Optionally lets your agent add scoped native rules so OpenRig commands run without repeated prompts, with an undo.
CLI Install: Distributed as @openrig/cli on npm, requiring Node.js 22 or 24 and tmux on macOS or Linux.

Multi-Agent Coding Teams: Stand up a persistent team of coding agents with defined roles for a repository.
Cross-Harness Workflows: Combine Claude Code and Codex strengths within one coordinated team.
Outcome-Driven Delegation: Describe a desired outcome to a lead agent and let it split work among specialists.
Agent Monitoring: Watch seats, models, context and state of many agents from one terminal UI.
Reviewed Changes: Have agents produce a change in a repo and another review it before you merge.
Agent Research Experiments: Prototype and study networks of cooperating agents on your own machine.

Orion Arm

Freemium

AI executive assistant that reaches out to attendees to book meetings, architects your day, and tracks tasks across synced calendars.

Attendee Coordination: Toki contacts meeting attendees itself to find a time that works for everyone, removing the availability back-and-forth entirely.
Scheduling Links: Calendly-style booking links for cases where a shareable link is simpler than having Toki negotiate a time.
Proactive Day Architecture: Toki plans the day ahead of time, balancing protected deep-work blocks against urgent demands rather than just recording events.
Natural Multimodal Input: Voice notes, screenshots, quick texts, and half-formed requests are all accepted and connected into the right events, reminders, and tasks.
Personal Preference Memory: Toki learns how you work, how you plan, and what you prefer, improving its scheduling decisions the longer you use it.
Triggers: Tell Toki a condition to watch — a price, a deadline, a release date — and it monitors and pings you when the condition is met.
Conflict Resolution: Smart scheduling detects and resolves calendar conflicts across synced calendars instead of double-booking.
Call Me Alerts: For things you truly cannot miss, Toki escalates from a notification to an actual phone call.

External Meeting Booking: Getting a meeting with several outside attendees on the calendar without a chain of availability emails.
Deep Work Protection: Having an assistant proactively reserve focus blocks and defend them against incoming requests.
Multi-Calendar Consolidation: Keeping personal iCloud, work Google, and Outlook calendars coherent in one view without manual duplication.
Capture on the Move: Sending a voice note or a screenshot of a flyer and having it become a dated event or reminder.
Deadline Monitoring: Setting a trigger on a stock price, a product release, or an application deadline and being pinged when it fires.
Critical Reminder Escalation: Receiving a phone call rather than a dismissable notification for appointments that cannot be missed.