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Ruflo Console
Mission control for your AI agents inside Claude Code
Mission control for AI work inside Claude Code. Plan missions, follow workflows and agent activity, inspect logs and results, and track models, tokens and cost. Bring approvals, questions and failures into one view. Let Claude operate the console within permissions you choose, then take back control at any time. Explore memory, security, project decisions and plugins from the same cockpit. Open source, with optional animated themes.
Ruflo Console is mission control for AI work inside Claude Code: plan missions, follow agents and keep control.
Try it now in Claude Code 2.1.287 or later. Enter these commands in Claude Code, one at a time:
/plugin marketplace add ruvnet/ruflo
/plugin install ruflo-console@ruflo
/reload-plugins
/ruflo
Then ask Claude to create a mission to add dark mode. Approve it and check the mission and action log. Creating a mission does not mean the feature has been built.
Here is what the console brings together:
Plan and follow work. Create missions, set goals and track tasks, workflows, agent activity and swarm topology.
Inspect runs. Open logs and results, search, triage failures, replay and compare. Track models, tokens and cost. Missing measurements show n/a.
See what needs you. The Room brings approvals, questions, failures and finished work across local Claude Code, Codex and Ruflo sessions into a review queue with session previews.
Keep control. Choose read, write, manage or full permissions and ask or auto confirmation. Network, spending and destructive actions still require confirmation. Review the action log or press Take back control.
Keep context close. Explore memory, learning, security, diagnostics, project decisions and plugins. Some features require additional Ruflo components and configured providers.
Ruflo is open source. Model usage costs still apply. See the linked GitHub guide for setup details. Classic, plain and animated themes are optional.
The recorded session shows mission creation, navigation, a refused action and control being taken back. The explainer adds illustrative Seedance graphics. Neither proves completed swarm work or memory recall.
What is hardest to track with several agents: progress, failures, approvals or cost?
About Ruflo Console on Product Hunt
“Mission control for your AI agents inside Claude Code”
Ruflo Console was submitted on Product Hunt and earned 20 upvotes and 6 comments, placing #33 on the daily leaderboard. Mission control for AI work inside Claude Code. Plan missions, follow workflows and agent activity, inspect logs and results, and track models, tokens and cost. Bring approvals, questions and failures into one view. Let Claude operate the console within permissions you choose, then take back control at any time. Explore memory, security, project decisions and plugins from the same cockpit. Open source, with optional animated themes.
On the analytics side, Ruflo Console competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Ruflo Console performed against the three products that launched closest to it on the same day.
Who hunted Ruflo Console?
Ruflo Console was hunted by Reuven Cohen. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Ruflo Console including community comment highlights and product details, visit the product overview.
Reuven Cohen
Hey Product Hunt, rUv here.
Ruflo Console is mission control for AI work inside Claude Code: plan missions, follow agents and keep control.
Try it now in Claude Code 2.1.287 or later. Enter these commands in Claude Code, one at a time:
/plugin marketplace add ruvnet/ruflo
/plugin install ruflo-console@ruflo
/reload-plugins
/ruflo
Then ask Claude to create a mission to add dark mode. Approve it and check the mission and action log. Creating a mission does not mean the feature has been built.
Here is what the console brings together:
Plan and follow work. Create missions, set goals and track tasks, workflows, agent activity and swarm topology.
Inspect runs. Open logs and results, search, triage failures, replay and compare. Track models, tokens and cost. Missing measurements show n/a.
See what needs you. The Room brings approvals, questions, failures and finished work across local Claude Code, Codex and Ruflo sessions into a review queue with session previews.
Keep control. Choose read, write, manage or full permissions and ask or auto confirmation. Network, spending and destructive actions still require confirmation. Review the action log or press Take back control.
Keep context close. Explore memory, learning, security, diagnostics, project decisions and plugins. Some features require additional Ruflo components and configured providers.
Ruflo is open source. Model usage costs still apply. See the linked GitHub guide for setup details. Classic, plain and animated themes are optional.
The recorded session shows mission creation, navigation, a refused action and control being taken back. The explainer adds illustrative Seedance graphics. Neither proves completed swarm work or memory recall.
What is hardest to track with several agents: progress, failures, approvals or cost?