{"slug": "introducing-tasq-an-ai-native-task-orchestrator-for-coding-agents", "title": "Introducing tasq: An AI-Native Task Orchestrator for Coding Agents", "summary": "A developer built tasq, an AI-native task orchestrator for coding agents that manages parallel implementation work. The tool stores issues locally, respects dependency graphs, and uses Git worktrees to avoid conflicts when multiple agents run simultaneously. It was inspired by Codex Symphony and focuses on personal, local-first workflows.", "body_md": "If you'd rather try it first than read about it, there's a demo video and a quick tutorial that walk you through the entire workflow in just a few minutes.\n\nBy the end of it, you'll have an agent:\n\nThis article explains why I built tasq and the problems it tries to solve.\n\nI spend most of my time building software with AI coding agents.\n\nMy workflow usually looks like this:\n\nAt first, it felt magical.\n\nThen I started running multiple agents in parallel.\n\nWhile one agent was investigating a bug, another was implementing a feature. While waiting for CI to finish, I would ask yet another agent to work on a different task.\n\nA few days later I noticed a problem:\n\nSometimes an agent would finish a task and I wouldn't notice for days.\n\nSometimes I would discover an unfinished implementation a week later and wonder why it had stopped in the first place.\n\nAI made software development massively parallel.\n\nBut my task management workflow was still designed for humans.\n\nThat's why I built **tasq**.\n\nAI coding agent task manager.\n\ntasq helps you turn implementation work into a visible queue, start local services for that queue, and inspect progress from both the `tq`\n\nCLI and the Web UI.\n\n[Watch the Tasq introduction video](https://github.com/user-attachments/assets/8c4fdc9c-c70b-4f86-8e0a-323f8880ffb7).\n\nJapanese counterpart: [README.ja.md](https://github.com/version-1/tasq/README.ja.md).\n\nAI coding agents make it possible to work on multiple implementation tasks at the same time. The bottleneck moves from writing code to managing parallel work.\n\nAgents can run in parallel, but humans still need to track which tasks were assigned, which agents are running, how far each task has progressed, and what should be reviewed next.\n\nRunning multiple agents in one repository checkout can create branch switching issues, unfinished-change conflicts, and overlapping file edits.\n\nEach agent task often needs the same preparation steps: create a branch, create a worktree, verify dependencies, and run the right…\n\nAn AI-native task orchestrator designed for coding agents.\n\nThe obvious answer is to create more issues.\n\nThe problem is that not all tasks belong in a shared project management system.\n\nI don't want to publish every tiny implementation detail, development experiment, or dotfiles improvement to a team-wide Linear workspace.\n\nMany of these tasks are personal implementation notes or intermediate steps that only exist to help me finish larger work.\n\nThey also have dependencies.\n\nFor example:\n\nI don't want to manually copy and paste these tasks into agents in the correct order.\n\nI want the system to understand the dependency graph and schedule the work automatically.\n\nWhat I needed was:\n\nRun multiple agents and automatically consume tasks while respecting dependencies.\n\ntasq combines three ideas:\n\nIssues are stored locally in a database rather than in GitHub or Linear.\n\nThe orchestrator continuously watches the queue and dispatches executable tasks to coding agents.\n\nEach task runs in its own Git worktree and branch, so multiple implementations can happen in parallel without conflicts.\n\ntasq was heavily inspired by Codex Symphony and its orchestration model, while focusing on local-first and personal workflows.\n\nThe default implementation loop looks like this:\n\n`in_progress`\n\n.However, these steps are not hardcoded.\n\ntasq uses `WORKFLOW.md`\n\nfiles inspired by Symphony's workflow specification.\n\nThis means users can customize:\n\ntasq only cares about:\n\nEverything else belongs to the user.\n\nIn an ideal world, agents would continuously fetch tasks and finish them without interruption.\n\nReality is messier.\n\nAgents may require permissions.\n\nCI pipelines fail.\n\nImplementations sometimes diverge from expectations.\n\nFor these situations, tasq intentionally stays lightweight.\n\nEach issue stores the execution session identifier of the underlying coding agent.\n\nIf something goes wrong, you can simply continue from the existing session:\n\n```\ncodex resume <thread_id>\n```\n\nYou don't need to create another issue just to fix CI failures or tweak a generated implementation.\n\nYou simply resume the conversation and continue from where the agent stopped.\n\nA typical tasq workflow looks like this:\n\n`tq issue create`\n\n.`ready`\n\n.In practice, this often means your work becomes:\n\nReview issues and move them to ready.\n\nEverything else happens automatically.\n\ntasq provides both a web interface and a CLI interface.\n\nThe CLI is primarily intended for coding agents, while the web interface focuses on issue management and orchestration visibility.\n\nThere is also a dedicated tasq skill package for coding agents so they can interact with the issue tracker without additional prompting.\n\nThere is still a lot to improve.\n\nCurrent ideas include:\n\nI personally spend most of my time inside tmux and Vim, so a TUI feels inevitable.\n\nI also want blocked tasks to recover automatically whenever possible.\n\nFor example, if CI fails, users shouldn't need to manually resume an agent and type:\n\nfix ci\n\nFinally, tasq currently depends on Codex App Server and does not yet support direct execution through Claude Code.\n\nLong term, I would like planning and implementation workflows to work seamlessly across both ecosystems.\n\nIf any of this sounds interesting, I'd love for you to try the tutorial and share your feedback.", "url": "https://wpnews.pro/news/introducing-tasq-an-ai-native-task-orchestrator-for-coding-agents", "canonical_source": "https://dev.to/version1/introducing-tasq-an-ai-native-task-orchestrator-for-coding-agents-506c", "published_at": "2026-07-14 04:45:34+00:00", "updated_at": "2026-07-14 05:30:51.486789+00:00", "lang": "en", "topics": ["ai-tools", "developer-tools", "ai-agents"], "entities": ["tasq", "Codex Symphony", "Git", "Linear"], "alternates": {"html": "https://wpnews.pro/news/introducing-tasq-an-ai-native-task-orchestrator-for-coding-agents", "markdown": "https://wpnews.pro/news/introducing-tasq-an-ai-native-task-orchestrator-for-coding-agents.md", "text": "https://wpnews.pro/news/introducing-tasq-an-ai-native-task-orchestrator-for-coding-agents.txt", "jsonld": "https://wpnews.pro/news/introducing-tasq-an-ai-native-task-orchestrator-for-coding-agents.jsonld"}}