sortie-ai

sortie-ai / sortie

Public

Daemon that turns issue tracker tickets into autonomous coding agent sessions

docs.sortie-ai.com agent agentic-ai ai ai-agents ai-orchestration
14
1
100% credibility
Found Mar 25, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
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AI Summary

Sortie automates routine coding by dispatching AI agents to handle issues from trackers like Jira in isolated workspaces with built-in retry and state management.

How It Works

1
📖 Discover Sortie

You hear about Sortie, a helpful tool that lets AI assistants tackle your coding tasks from your to-do list.

2
📝 Write simple instructions

Create a short note file next to your project telling Sortie which tasks to watch and how to set up workspaces.

3
🚀 Start the helper

Run the easy-to-use program once, and it quietly watches your task list in the background.

4
✨ AI takes over tasks

Sortie spots ready tasks, spins up private workspaces, and sends smart AI helpers to fix bugs or add features.

5
🛠️ Watch progress unfold

See the AI make changes, test them, and update your project safely in its own space.

🎉 Tasks done automatically

Finished work moves to your review pile, saving you hours on routine chores so you focus on what matters.

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AI-Generated Review

What is sortie?

Sortie is a Go daemon that watches issue trackers like Jira or file-based tickets via a simple WORKFLOW.md config, then launches autonomous Claude Code agents to implement them. It creates isolated git workspaces, runs multi-turn sessions with retries and stall detection, and syncs state back to the tracker—all in a single binary with SQLite persistence. Engineers assign tickets; agents handle the code changes, like bug fixes or dependency updates.

Why is it gaining traction?

It fills the infra gap for scaling coding agents: automatic workspaces, exponential backoff retries, cost tracking, and hot-reload configs without restarts. Unlike ad-hoc scripts or github docker daemon setups, it's pluggable for trackers/agents, with a dashboard for monitoring—perfect for linux daemon github workflows. Early adopters dig the zero-deps deploy and gradle daemon github actions integration vibes.

Who should use this?

Jira-heavy backend teams offloading routine tasks like test coverage gaps or feature stubs to agents. Solo devs prototyping AI-assisted coding in monorepos, tired of manual Claude Code sessions. Suits sortierbox setups where issues need automated sorting into code.

Verdict

Grab it for a Jira/Claude POC—active development, strong docs, and 75%+ codecov targets show polish despite 14 stars and 1.0% credibility. Maturity lags for prod fleets; test in staging first.

(187 words)

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