dagu

v2.10.7 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 14d Automation & Workflows

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

agentic-workflow cron data-pipeline devops durable-execution durable-workflows

+14 more

human-in-the-loop job-scheduler mcp-server multiplayer-agent on-premise private-runners self-hosted self-service selfservice-portal task-automation task-scheduler workflow-engine workflow-orchestration workflow-scheduler

Summary

AI summary

Updates https://github.com/yohamta0, ui, and 2026-07-12 across a mixed release.

Changes in this release

Type	Severity	Summary	CVE
Feature	Medium	Saved Kanban views can now display and order custom status columns. Saved Kanban views can now display and order custom status columns. Source: llm_adapter@2026-07-12 Confidence: high	—
Feature	Medium	UI feedback, log readability, and timestamps are improved. UI feedback, log readability, and timestamps are improved. Source: llm_adapter@2026-07-12 Confidence: high	—
Performance	Medium	Heavy route dependencies are deferred, speeding up initial UI load. Heavy route dependencies are deferred, speeding up initial UI load. Source: llm_adapter@2026-07-12 Confidence: high	—
Bugfix	Medium	Scope inline sub‑DAG liveness to worker claims, preventing stale run markings. Scope inline sub‑DAG liveness to worker claims, preventing stale run markings. Source: llm_adapter@2026-07-12 Confidence: low	—
Bugfix	Low	Addressed distributed run lease expiration where workers stopped reporting. Addressed distributed run lease expiration where workers stopped reporting. Source: llm_adapter@2026-07-12 Confidence: low	—

Full changelog

v2.10.7 (2026-07-12)

This release makes Dagu faster and easier to operate. Saved Kanban views can now display and order the status columns that matter to each workflow, while improved feedback, relative timestamps, searchable ANSI-colored logs, and automatic failed-step expansion make runs easier to monitor and troubleshoot. Route-level lazy loading also speeds up the initial UI load. For distributed execution, inline sub-DAGs now share their worker claim’s liveness, preventing healthy runs from being marked stale and ensuring affected runs fail cleanly when a worker claim is lost.

Added

feat: customize saved view columns (#2381) @yohamta0
feat(ui): improve feedback, log readability, and timestamps (#2382) @yohamta0

Fixed

fix: scope inline sub-DAG liveness to worker claims (#2380) @yohamta0
perf(ui): defer heavy route dependencies (#2383) @yohamta0

Contributors

Thanks to our contributors for this release:

| Contribution | Contributor |
| --- | --- |
| bug: distributed run lease expired: worker ... accepted the task claim but stopped reporting to the owner coordinator (different from #2136) (#2378) | @pommetjehorlepiep (report) |

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About dagu

A local-first workflow engine built the way it should be: declarative, file-based, self-contained, air-gapped ready. One binary that scales from laptop to distributed cluster. Your Workflow Operator handles creating and debugging workflows.

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Earlier breaking changes

v2.10.6 Built-in authentication token TTLs are now limited to 8760h (365 days); larger values are rejected at startup.