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Product Positioning & Context
Mngr is a CLI tool for programmatically spinning up coding agents at any scale. It lets you compose workflows—fix all my tests, open PRs for every issue, validate every use case—and run them repeatedly. Run 1. Run 100s. See all your agents, and if they're blocked on you. Connect to any agent mid-task to ask a question or debug it. Agents start in under 2 seconds and shut down when idle. The same commands work with any agent harness, running locally, on Modal, or in Docker. Free and open-source.
Community Voice & Feedback
this is useful! can I set token / dollar / time budgets?
Kanjun here, one of the founders of @Imbue (the team behind mngr). Internally, we run 100s of parallel Claude Code sessions all doing useful work. It's been wild — we just say "for each flaky test in the past week, fix it" or "for each Linear ticket, create a PR". mngr is the CLI tool that makes it possible, and we're open sourcing it today because we believe that open agents must win over closed platforms for humans to live freely in our AI future.Hope you give it a spin, find it useful, and star it on Github if you like it!
Running agents at scale is the easy part to imagine. The harder problem is state coherence across the swarm — what happens when agent 47 and agent 12 reach conflicting conclusions about the same codebase and neither is obviously wrong.Does Mngr expose any shared state or consensus layer, or is resolution left entirely to the orchestrating workflow?
Just ran 6 parallel Claude agents today for a launch strategy analysis.The bottleneck is always orchestration, not the model. Curious how you handle context sharing between agents.
Does it have any limit managemnt - ie maximizing AI subscription limits?
Running parallel agents at this scale is genuinely interesting. The hard part I keep running into isn't starting agents - it's knowing when they're done, stuck, or drifted from intent. How does Mngr handle that? Is there any visibility into what's actually happening across the swarm, or is it more fire-and-forget?
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