openrig vs Wisry: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of openrig and Wisry — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
o
openrig
mvschwarz
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.
Key features
- 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.
Best for
- 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.
Wisry
Wisry
Agentic ad platform that reverse-engineers the ads already winning in your market, rebuilds them for your brand, and launches them to Meta and Google.
Key features
- Competitive ad research agents: Analyze the ads currently performing in your market and reverse-engineer the creative patterns behind them
- Evidence-backed angles: Produces a set of six messaging angles per run, each grounded in observed market performance rather than a generic template
- Brand-matched creative: Rebuilds winning concepts as static and video ads in the customer's own brand rather than reusing competitor assets
- Direct campaign launch: Pushes finished creative live to Meta and Google, optimized for return on ad spend
- End-to-end loop: Research, angles, creative and live campaign run as one continuous flow instead of separate tools and handoffs
- Trained on $1B+ ad spend: Creative and targeting models are built on a large base of historical advertising performance data
- Multi-model orchestration: Coordinates several leading foundation models rather than relying on a single provider
Best for
- An ecommerce brand entering a new category and wanting to see which creative angles already convert there before spending
- A performance marketer who needs a steady volume of fresh ad variations to fight creative fatigue
- A small DTC team without an in-house creative department producing static and video ads at agency cadence
- Testing six distinct messaging angles against each other instead of iterating on a single hypothesis
- Launching Meta and Google campaigns directly from the creative step rather than exporting assets to a separate campaign manager
- An agency scaling creative output across multiple ecommerce clients without proportional headcount