DJL v0.5.8

DJL v0.5.8

Added

• Added a replayable first-run tutorial for Work, Projects, local AI, and Settings.
• Added one-click local AI setup by purpose—General, Documents, Reasoning, or Coding—with hardware-aware recommendations, readiness checks, and automatic fallback to a safer model in the same category.
• Added Get Started, Guide, and Changelog pages to the DJL website with release-aware desktop downloads.

Fixed

• Fixed local AI hardware detection on Windows and translated Apple Silicon builds so model recommendations use the host CPU, GPU memory, system memory, and disk capacity more reliably.
• Fixed local AI setup continuity when a recommended model cannot load, including reuse of the active setup while DJL downloads the fallback model.
• Fixed AI detector cache invalidation so updated calibration and model-output settings cannot reuse stale analysis results.
• Fixed the desktop updater’s recovery path when version context is missing or a previous update action failed.

Changed

• Kept the desktop update control available as a consistent place to check, download, and install new DJL versions.
• Expanded AI detector evaluation coverage, metrics, and model-license evidence across English and Chinese benchmark sources.

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DJL desktop installers for macOS Apple Silicon, macOS Intel, and Windows x64. macOS
installers are Developer ID signed, notarized, and stapled. The Windows installer is
intentionally unsigned and may trigger Microsoft SmartScreen. Verify SHA256SUMS before
installing.

What's Changed

• feat(landing): guide, GitHub-driven changelog, and a single design system by @Anthonysu798 in #7
• feat: improve zero-config AI onboarding and evaluation by @Anthonysu798 in #6
• test: stabilize downgraded local model setup by @Anthonysu798 in #8

Full Changelog: v0.5.7...v0.5.8

DJL v0.5.7

DJL v0.5.7

Added

• Added streamlined local-model setup with hardware-aware recommendations, measured generation speed, and installed-model management for Ollama and LM Studio.
• Added a sidebar update indicator when a new DJL desktop version is ready.
• Added verifiable build provenance for desktop installers.

Fixed

• Fixed local-model capability routing so chat-only models receive no work tools while capable models continue through the OpenCode tool harness.
• Fixed LM Studio context handling to respect each loaded model's effective context window, and stopped overriding Ollama's own context default.
• Fixed local runtime discovery, startup, provider labels, and model inventory synchronization.
• Fixed duplicate document conversions that could start concurrently while resuming work after a restart.
• Fixed desktop release validation to enforce the current 13-asset public release contract in required CI.

Changed

• Simplified local-model installation to one recommended action, with additional models and runtimes available under advanced choices.
• Updated desktop download and release automation to advertise the current published version and validate native bundles consistently across CI and release builds.

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DJL desktop installers for macOS Apple Silicon, macOS Intel, and Windows x64. macOS
installers are Developer ID signed, notarized, and stapled. The Windows installer is
intentionally unsigned and may trigger Microsoft SmartScreen. Verify SHA256SUMS before
installing.

What's Changed

• Add sidebar desktop update action by @Anthonysu798 in #1
• Improve local model setup, tool routing, and LM Studio context handling by @Anthonysu798 in #2
• Fix document render resume race by @Anthonysu798 in #3
• Fix stale public release asset contract by @Anthonysu798 in #5

New Contributors

• @Anthonysu798 made their first contribution in #1

Full Changelog: v0.5.6...v0.5.7

DJL v0.5.6

DJL v0.5.6

First public release of the DJL desktop app.

DJL is a local-first desktop workspace for coding agents. It brings chats, terminals, browser
previews, diffs, Git operations, provider sessions, and task handoffs into one focused application.

Highlights

• Use your existing Codex, Claude Code, Gemini, OpenCode, Cursor, Grok, Kilo Code, and Pi accounts.
• Run parallel tasks across projects and isolated Git worktrees.
• Keep conversations, terminals, browser previews, diffs, and agent activity side by side.
• Review changes and complete branch, commit, push, and pull-request workflows in place.
• Pair the optional DJL iPhone app with the desktop over an end-to-end encrypted remote channel.

Downloads

Platform	Architecture	Asset
macOS	Apple Silicon	DJL-0.5.6-arm64.dmg
macOS	Intel	DJL-0.5.6-x64.dmg
Windows	x64	DJL-0.5.6-x64.exe

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DJL desktop installers for macOS Apple Silicon, macOS Intel, and Windows x64. macOS
installers are Developer ID signed, notarized, and stapled. The Windows installer is
intentionally unsigned and may trigger Microsoft SmartScreen. Verify SHA256SUMS before
installing.

Full Changelog: https://github.com/Anthonysu798/DJL/commits/v0.5.6