dagu

v2.7.13 Bugfix

This release fixes issues for SREs watching stability and regressions.

Published 1mo Automation & Workflows

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✓ No known CVEs patched

Read the diff → Tool health → What is this tool? →

✓ 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

Fixed scheduler excessive memory and CPU usage with growing DAG run history.

Full changelog

Fixed

Fixed an issue where the scheduler could use excessive memory and CPU as DAG run history grew.
Improved scheduler stability for instances that run many scheduled workflows over time.

Full Changelog: https://github.com/dagucloud/dagu/compare/v2.7.12...v2.7.13

View diff on GitHub

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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.