Kandev v0.80.0

Kandev v0.80.0

Kandev is A Powerful AI Kanban Development Environment for Multi-Agent Coding. Combining multi-agent orchestration, Kanban project management, integrated code review, and self-hosted architecture.
(4.8)

Developer

Kandev

Category

Developer Tools

Operating System

Windows / macOS / Linux

Date Published

Tue Jul 21 2026

Kandev v0.80.0

Kandev is an open source AI-powered development environment designed to orchestrate multiple coding agents in parallel. Rather than acting as a single AI coding assistant, Kandev provides a Kanban-style workspace where developers can assign tasks to different AI agents, review their work, manage Git worktrees, and create pull requests from a unified interface. It supports multiple AI providers, is self-hostable, and runs entirely without telemetry, making it an excellent choice for teams and developers who want greater control over AI-assisted software development.

As AI coding assistants become more capable, developers often want to run several agents simultaneously. Managing multiple terminal windows quickly becomes difficult, especially when reviewing changes, tracking conversations, and merging code.

Kandev solves this problem by providing a visual development environment with Kanban and pipeline views. Each task can run in its own Git worktree, allowing several AI agents to work independently without interfering with one another. Developers can then review generated code, compare changes, and approve pull requests from a single workspace.

Key Features Kandev

Multi-Agent Orchestration

Kandev can launch multiple AI coding agents simultaneously, allowing different tasks to be completed in parallel. This significantly improves productivity when working on larger projects.

Kanban Workflow

The built-in Kanban board helps organize development tasks, track progress, and visualize AI-assisted workflows in a familiar project management interface.

Integrated Code Review

Instead of switching between terminal windows, Kandev provides a unified workspace with:

  • File editor

  • Git diff viewer

  • File tree

  • Terminal

  • Browser preview

  • Agent conversations

This makes reviewing AI-generated code much more efficient.

Multiple AI Provider Support

Kandev supports numerous AI coding agents through the Agent Client Protocol (ACP), including:

  • Claude Code

  • OpenAI Codex

  • GitHub Copilot

  • Gemini CLI

  • Amp

  • Auggie

  • OpenCode

Developers are free to choose the provider that best fits their workflow.

Flexible Execution

Agents can run in several environments:

  • Local processes

  • Docker containers

  • Remote SSH servers

  • Cloud executors

This flexibility allows teams to scale workloads without relying solely on local hardware.

Git Worktree Management

Each task runs in its own Git worktree, reducing merge conflicts and allowing multiple features or bug fixes to be developed simultaneously.

Self-Hosted and Privacy Focused

Kandev is fully self-hostable and collects no telemetry. Organizations that handle sensitive source code can keep their development environment entirely within their own infrastructure.

Cross-Platform Support

The application runs on Windows, macOS, and Linux. It can be installed using Homebrew, NPX, npm, or by building directly from source.

Download Kandev v0.80.0 - Software Mirrors

Kandev v0.80.0 for Windows

kandev-desktop-windows-x64-Kandev_0.80.0_x64-setup.exe | 57.01 MB

kandev-desktop-windows-x64-Kandev_0.80.0_x64-setup.nsis.zip | 57.01 MB

kandev-windows-x64.tar.gz | 75.9 MB

Kandev v0.80.0 for macOS

kandev-desktop-macos-arm64-Kandev.app.tar.gz | 80.68 MB

kandev-desktop-macos-arm64-Kandev_0.80.0_aarch64.dmg | 78.91 MB

kandev-desktop-macos-x64-Kandev.app.tar.gz | 82.44 MB

kandev-desktop-macos-x64-Kandev_0.80.0_x64.dmg | 80.77 MB

kandev-desktop-macos-x64-rw.68763.Kandev_0.80.0_x64.dmg | 287.04 MB

kandev-macos-arm64.tar.gz | 73.61 MB

kandev-macos-x64.tar.gz | 75.39 MB

Kandev v0.80.0 for Linux

kandev-desktop-linux-arm64-Kandev-0.80.0-1.aarch64.rpm | 81.18 MB

kandev-desktop-linux-arm64-Kandev_0.80.0_aarch64.AppImage | 141.44 MB

kandev-desktop-linux-arm64-Kandev_0.80.0_aarch64.AppImage.tar.gz | 140.78 MB

kandev-desktop-linux-arm64-Kandev_0.80.0_arm64.deb | 81.18 MB

kandev-desktop-linux-x64-Kandev-0.80.0-1.x86_64.rpm | 83.52 MB

kandev-desktop-linux-x64-Kandev_0.80.0_amd64.AppImage | 148.35 MB

kandev-desktop-linux-x64-Kandev_0.80.0_amd64.AppImage.tar.gz | 147.63 MB

kandev-desktop-linux-x64-Kandev_0.80.0_amd64.deb | 83.53 MB

kandev-linux-arm64.tar.gz | 72.71 MB

kandev-linux-x64.tar.gz | 75.37 MB

Kandev v0.80.0 Release Notes:

[!WARNING]
macOS, Windows desktop installers in this release are unsigned development builds.
They may require manual OS security bypasses and are not trusted downloads.

0.80.0 - 2026-07-20

Features

  • show source repo link on installed plugin list and settings (#1821)
  • add configurable task layout profiles (#1799)
  • configure profiles for MCP-created tasks (#1797)
  • add parent-controlled task stopping via MCP (#1803)
  • add plugin marketplace with curated registry and updates (#1798)
  • add explicit save for settings (#1686)
  • add chat-input-actions slot for plugin toolbar icons (#1794)
  • bind HTTP server to multiple addresses (#1792)
  • unify configuration chat sessions (#1695)
  • allow detaching subtasks from parent tasks (#1781)
  • add idle storage maintenance (#1699)
  • add Grok CLI driver (#1745) by @zensi-dev
  • link mobile Kandev brand to workspace home (#1755)
  • improve mobile task navigation (#1769)
  • surface Integrations section in mobile nav (#1771)
  • allow plugin nav items in the sidebar Integrations section (#1767)
  • add direct sidebar view creation (#1763)
  • per-plugin settings pages driven by manifest config_schema (#1761)
  • show context window data source (#1752)
  • improve ACP model configuration summaries (#1723)
  • warn about workflow replay cycles (#1720)
  • route agents through execution profiles (#1725)
  • richer frontend SDK — page chrome, nav icons, more host UI (#1759)
  • add repository defaults to saved GitHub queries (#1758)
  • add cmd+shift+g shortcut to open the task's github pr (#1757)
  • typed capability-gated Host data API (ADR 0043) (#1753)
  • add quick chat entry points on mobile (#1751)
  • add plugin system with grpc runtime and native ui plugins (#1742)
  • persist ACP session id in session metadata (#1748)
  • choose worktree when opening IDE on multi-repo tasks (#1743)
  • lazy load shell command output (#1739)
  • session spawning, sibling messaging, and renameable tabs (#1734)
  • unify project repository pickers across create and edit (#1722) by @Aulma

Bug Fixes

  • clear stale archived state when unarchiving from task detail top bar (#1816) by @dk-blackfuel
  • show github review and issue watches after strictmode remount (#1823)
  • preserve shared worktrees during task cleanup (#1819)
  • serialize empty sync-result arrays instead of null (#1817)
  • harden agentctl bind, git clone args, and powershell sound escaping (#1811)
  • report storage usage and reclaim archived workspaces (#1813)
  • ignore echoed user ACP chunks (#1804)
  • repair incomplete code-server installations (#1800)
  • harden submodule init against malicious .gitmodules (#1802)
  • validate destination parent chain in copyfiles byte copy (#1801)
  • keep queued messages parked after agent cancellation (#1796)
  • gate gitlab/linear fetches on integration being configured (#1789)
  • attribute model configuration to turns (#1784)
  • restore multi-repo review diffs (#1795)
  • hide workspace ownership marker from git status (#1783)
  • prevent command injection via untrusted git branch names (#1791)
  • prevent AppleScript injection RCE in macOS notifications (#1790)
  • treat git-describe builds as ahead of latest release (#1787)
  • stop async client component error on automations settings (#1788)
  • point About documentation link to kandev.ai/docs (#1786)
  • indent multi-repo change trees (#1779)
  • align install-dialog footer actions (#1780)
  • navigate to Settings on the first gear click from a session view (#1775) by @ClemDNL
  • freeze archived task state against late REVIEW writes (#1706) by @ClemDNL
  • render conversation markdown (#1750)
  • hide system templates (#1765)
  • provide bounded access to CREATED sibling task descriptions (#1773)
  • show border-only highlight in PR picker dialog (#1766)
  • stabilize sidebar toggle animation (#1762)
  • stabilize remote repository picker (#1747)
  • don't split streaming messages on subagent tool calls (#1756)
  • preserve settings sidebar on first click (#1744)
  • align sidebar resize handle (#1728)
  • prioritize subscription usage (#1741)
  • ignore late terminal tool updates (#1740)
  • refresh agent capability status (#1736)
  • preserve office workspace mode in task routes (#1738)
  • prevent duplicate asset uploads (#1737)
  • use macOS app updater target (#1735)
  • build macOS updater bundles (#1733)
  • dereference tags for updater dates (#1732)
  • install xdg-open for Linux bundles (#1731)
  • use Bash 3.2-safe artifact verifier (#1730)
  • keep settings section actions aligned on narrow screens (#1727)
  • validate updater signing from workflow revision (#1726)

Performance

  • scale workspace git status for large worktrees (#1814)

Refactoring

  • remove the unused tools feature (#1776)
  • detect absent secret via ErrNotFound sentinel (#1770)

Documentation

  • reference kandev-plugin-template starter repo in plugin guides (#1818)
  • define cinematic landing capture (#1768)
  • document cross-task agent communication and MCP tools (#1793) by @yattdev
  • document the plugin marketplace (#1805)
  • add plugin system guide, authoring tutorial, and manifest reference (#1774)
  • require PR screenshots for UI changes in pr skill (#1782)
  • place Office warnings within feature sections (#1764)
  • reframe feature guides and mark experimental surfaces (#1760)
  • overhaul public product guides (#1749)
  • decentralize ADR identifiers (#1746)
  • separate user and contributor documentation paths (#1729)

Performance and User Experience

Kandev offers a modern interface that combines project management with AI-assisted development. The Kanban workflow feels natural for teams already using agile methodologies, while the integrated review tools reduce context switching between editors, terminals, and Git clients.

The application performs well even when managing multiple concurrent AI sessions, thanks to its orchestrator architecture and support for isolated execution environments. Since it is still a relatively young project, some features continue to evolve rapidly, but active development and frequent updates indicate strong momentum.

Pros

  • Free and open source.

  • Supports multiple AI coding agents.

  • Parallel task execution.

  • Built-in Kanban workflow.

  • Excellent integrated code review tools.

  • Self-hostable with no telemetry.

  • Flexible execution using local, Docker, SSH, or cloud environments.

  • Active development.

Cons

  • Still a relatively new project.

  • Best suited for experienced developers.

  • Requires compatible AI agent tools and API access.

  • Advanced workflows may require some initial configuration.

Who Should Use Kandev?

Kandev is ideal for software developers, engineering teams, AI-assisted coding enthusiasts, and DevOps professionals who frequently work with multiple AI coding agents.

It is especially valuable for teams that want to coordinate parallel AI workflows, maintain human review before merging code, and avoid vendor lock-in by supporting multiple AI providers.

Final Verdict

Kandev introduces a fresh approach to AI-assisted software development by treating AI agents as collaborative team members rather than standalone chatbots. Its combination of multi-agent orchestration, Kanban project management, integrated code review, and self-hosted architecture makes it one of the most promising open source AI development environments currently available.

Although the project is still evolving, its rapid development pace, privacy-focused design, and flexible architecture make it an excellent choice for developers looking to scale their AI-assisted workflows.

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