Ouijit, an open-source task and terminal manager for coding agents

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Hi HN, I’m working on Ouijit. It’s a project and task-based terminal session manager that provides a few basic but useful tools for agent workflows: - Terminal sessions in Ouijit have access to the ouijit CLI, and supported agents (Claude, Codex, Pi) can work with it out of the box to manage tasks and customize a personal development workflow - Tasks live on a kanban board that supports hooks for task lifecycle events (eg. ‘Run this script when a task moves to ‘in progress’) I’ve found this simple combination to be very expressive and flexible for adapting to changing workflows. I made the V1 a couple months ago for fun, and have kept at it since a friend shared they had logged an 8 hour work session in it. Along the way I’ve baked in lots of what I believe are table-stakes for this type of tool, like task isolation via Git worktrees, agent working/idle status with sound and notifications, diff/markdown plan/URL previews, and support for VM sandboxing using Lima. It’s free and open source with no login or telemetry, so feedback is highly appreciated. Github: https://github.com/ouijit/ouijit Website: https://ouijit.com

Visit product View on Hacker NewsMay 31, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor

96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, io · Missing: https docs, excited, just released

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: personal, month, way · Missing: mobile apps, ios, entrepreneurs

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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