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更新日志

每一个发布版本

内容直接来自 GitHub 上已发布的版本。新版本会自动出现在这里,无需改动本站。

更新日志取自各版本的 GitHub 发布说明,因此以英文呈现。

0.5.8

当前版本

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.
在 GitHub 上查看

0.5.7

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.
在 GitHub 上查看

0.5.6

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.
在 GitHub 上查看