João Salavisa bb36cb9e01 refactor: move integrations to top-level settings with install-wide configs (#787)
* refactor: move integrations to top-level settings with install-wide configs

Jira and Linear configurations are now install-wide singletons rather than
per-workspace duplicates, and the GitHub/Jira/Linear settings pages live
under /settings/integrations instead of being nested inside each workspace.
Issue and PR watchers stay per-workspace via a workspace switcher inside
each integration page. Backend ships one-shot migrations that promote the
most-recently-updated row and copy its secret onto the new global key.

* fix: address review feedback on integrations refactor

Fix migration crash on installs whose jira_configs predate the auth-health
columns by selecting only guaranteed-present legacy columns and falling back
to defaults for the rest. Cover the empty-legacy-table and pre-health-columns
upgrade paths with new store tests.

On the frontend, refactor useIntegrationEnabled to take string parameters
instead of an inline options object so getSnapshot stays referentially stable
across renders, and stop dispatching a misleading no-op sync event when
localStorage.setItem fails in private mode.

* fix: hydrate workspace list on integration settings pages

The integration pages wrapped their content in a fresh StateProvider, which
created a nested store scope with an empty initial state and shadowed the
settings layout's hydrated workspace list. WorkspaceScopedSection then saw
zero workspaces and rendered the "Create a workspace to configure this
integration" empty state even when the user had workspaces.

Drop the redundant StateProvider from the jira and linear pages so they share
the layout's store. The github page switches to StateHydrator so it can still
seed the GitHub OAuth status without resetting the rest of the store.

* refactor(integrations): flatten watcher tables, pick workspace in create dialog

Hiding watchers behind a workspace switcher made the list invisible at a
glance — a user with multiple workspaces had to flip between each one to
see what was configured. Replace the switcher with a flat table that lists
every watch across every workspace, with a Workspace column for context, and
move workspace selection into the create dialog so the user picks once when
the watcher is born.

Backend: jira list-issue-watches and github list-review-watches /
list-issue-watches accept the workspace_id query param as optional; when
omitted, the corresponding store ListAll* method returns rows across every
workspace. Per-row mutations still require workspace_id as the IDOR guard.

Frontend: useReviewWatches / useIssueWatches / useJiraIssueWatches gain a
three-state contract — string for one workspace, undefined for all
workspaces, null to skip fetching. Watch tables grow an optional
showWorkspace column. Watch dialogs accept an optional workspaceId prop;
when absent, the dialog renders a workspace dropdown for the create flow
(disabled when editing existing rows so refs aren't orphaned). Github
review-watch-dialog crossed the 600-line lint cap so the prompt editor
moved to review-watch-prompt-field.tsx.

* fix(integrations): make watcher step dropdown reactive across workspace switches

Switching to a workspace whose workflows had to be fetched left the workflow
step dropdown stuck — the user could pick a workflow but the step Select
either showed the previous workflow's steps or appeared inert. The cause was
the per-dialog useWorkflowSteps hook deferring its empty-state reset via
Promise.resolve().then(() => setSteps([])) to dodge a setState-in-effect
lint rule, which let stale steps survive into the next render and gave Radix
nothing to anchor the popover to during the in-flight fetch.

Hoist the hook into a shared useWorkflowSteps that resets via React's
official setState-during-render pattern, exposes a loading flag, and returns
a stepPlaceholder helper so the Select can render "Loading steps…" or "No
steps in this workflow" instead of an empty popover. The Step Select is now
also disabled while loading or when there are no steps, making the state of
the dropdown unambiguous.

* fix: address PR review feedback on integrations refactor

Backend:
- linear migration: add column-presence guard mirroring the Jira fix so
  installs that upgraded from the original Linear schema (without org_slug
  / last_checked_at / last_ok / last_error) don't crash startup with
  "no such column"; add TestStore_MigrateLegacyPerWorkspaceTable_PreHealthColumns
- jira/handlers.go: drop the now-unused errMsgWorkspaceIDRequired constant
  that was failing golangci-lint
- jira/mock_controller_test.go (new): cover setAuthHealth happy-path and
  invalid-JSON-rejection so the singleton-shaped payload is locked in

Frontend:
- useIntegrationAvailable: gate the auth-health probe on loaded && enabled
  so disabled integrations don't poll /config every 90s
- use-workflow-steps: initialize loading to !!workflowId so edit-mode opens
  show "Loading steps…" instead of "No steps in this workflow" before the
  first fetch lands
- use-workflow-steps.test.ts (new): cover the empty/non-empty workflowId,
  workflow switch, fetch error, and stepPlaceholder branches
- use-linear-enabled.test: tighten the legacy-key migration assertion to
  pin the migrated value rather than just verifying key cleanup

---------

Co-authored-by: Kandev Agent <agent@kandev.dev>
2026-05-03 10:22:57 +01:00
2026-05-01 01:02:00 +01:00
2026-01-16 01:59:19 +00:00
2026-02-17 09:19:42 +00:00
2026-05-01 21:02:41 +01:00

Kandev

Manage and run tasks in parallel. Orchestrate agents. Review changes. Ship value.

Workflows | Roadmap | Contributing | Architecture | Discord

Kandev Demo

See all screenshots

What

Organize work across kanban and pipeline views with opinionated workflows and execute multiple tasks in parallel. Assign agents from any provider, and review their output in an integrated workspace - file editor, file tree, terminal, browser preview, and git changes in one place. Terminal agent TUIs are great for running agents, but reviewing and iterating on changes there doesn't scale.

Run it locally or self-host it on your own infrastructure and access it from anywhere via Tailscale or any VPN.

Open source, multi-provider, no telemetry, not tied to any cloud.

Vision

Humans stay in control. Define tasks, build agentic workflows with gates, review every change, decide what ships.

  • Review-first - Humans support production systems. We need to understand (yet) and trust the code that gets deployed.
  • Your workflow - Every team is different, and not every developer uses AI the same way. Define workflows once, share them across the team, and give everyone a consistent process for working with agents - regardless of experience level.
  • Remote agents - Running multiple agents on a large codebase can quickly saturate a local machine. The goal is a single control plane: offload execution to servers, orchestrate from anywhere, including your phone.

Features

  • Multi-agent support - Claude Code, Codex, GitHub Copilot, Gemini CLI, Amp, Auggie, OpenCode
  • Parallel task execution – start and manage multiple tasks from different sources simultaneously, boosting productivity with AI agents
  • Integrated workspace - Built-in terminal, code editor with LSP, git changes panel, embedded vscode and chat in one IDE-like view
  • Kanban task management - Drag-and-drop boards, columns, and workflow automation
  • Agentic workflows - Multi-step pipelines that mix-and-match agents per step - for example, Claude Code Opus to design a plan, GitHub Copilot Sonnet to implement it, and Codex GPT 5.4 to review the changes. See docs/workflows.md
  • Sub-tasks - Agents can spawn sub-tasks that resume from the parent task's session. Useful for splitting a task that has grown too big, or producing several PRs from the same starting point.
  • CLI passthrough - Drop into raw agent CLI mode for direct terminal interaction with any supported agent, leverage the full power of their TUIs
  • Workspace isolation - Git worktrees prevent concurrent agents from conflicting
  • Multi-repository tasks - Span a single task across multiple repositories, with one worktree per repo, per-repo branches, per-repo PRs, and per-repo grouping in the Changes panel and review dialog
  • Flexible runtimes - Run agents as local processes, in isolated Docker containers or in remote executors like sprites.dev
  • Session management - Resume and review agent conversations
  • Stats - Track your productivity with stats on the completed tasks, agent turns, etc

Supported ACP Agents

Agent Protocol
Claude Code ACP (@zed-industries/claude-agent-acp)
Codex ACP (@zed-industries/codex-acp)
GitHub Copilot ACP
Gemini CLI ACP
Amp ACP (amp-acp)
Auggie ACP
OpenCode ACP

All agents communicate via ACP (Agent Client Protocol). Some agents support ACP natively, while others use ACP adapter packages that bridge their native protocols. CLI Passthrough mode is also available for direct terminal interaction with any agent CLI. If your agent isn't supported yet, open an issue or submit a PR with the integration. See Adding a New Agent CLI for a step-by-step guide.

Bring your own TUI agents

There is support for running any agent as TUI inside a terminal. Just add the cli command in the agent profile settings and the task will start the agent inside a PTY terminal instead of using ACP.

Supported Executors

Executor Description
Local Process Runs the agent as a local process on the host machine
Docker Runs the agent in an isolated Docker container
Sprites Runs the agent in a remote cloud environment via sprites.dev

Each executor uses git worktrees for workspace isolation, preventing concurrent agents from conflicting.

Quick Start

npx kandev

This downloads pre-built backend + frontend bundles and starts them locally. The worktrees and sqlite db will be created in ~/.kandev by default. Should work on macOS, Linux, and Windows (WSL or native).

From Source

# Clone the repository
git clone git@github.com:kdlbs/kandev.git
cd kandev

# Start in production mode
make start

Prerequisites: Go 1.26+, Node.js 18+, pnpm, Docker (optional - needed for container runtimes)

High level architecture

graph LR
    UI[Web UI] --> Backend


        Backend["Backend (Orchestrator)"]


    Backend --> W1 & W2

    subgraph W1[Local Process]
        Agent1[Agent CLI] --- WT1[Worktree]
    end

    subgraph W2[Docker Container]
        Agent2[Agent CLI] --- WT2[Worktree]
    end

We also want to add support for these remote runtimes:

  • Remote SSH - run agents on remote servers over SSH, using docker or local processes with workspace isolation
  • K8s operator - run agents in a Kubernetes cluster, with auto-scaling and resource management.
Development

Project Structure

apps/
├── backend/    # Go backend (orchestrator, lifecycle, agentctl, WS gateway)
├── web/        # Next.js frontend (SSR, Zustand, real-time subscriptions)
├── cli/        # CLI tool (npx kandev launcher)
└── packages/   # Shared UI components & types

Prerequisites

  • Go 1.21+
  • Node.js 18+
  • pnpm
  • Docker (optional)

Running Dev Servers

# Start everything (backend + frontend with auto ports)
make dev

# Or run separately
make dev-backend    # Backend on :38429
make dev-web        # Frontend on :37429

Testing & Linting

make test           # Run all tests (backend + web)
make lint           # Run all linters
make typecheck      # TypeScript type checking
make fmt            # Format all code

Pre-commit Hooks

# Install pre-commit (https://pre-commit.com/#install)
pipx install pre-commit

# Install git hooks
pre-commit install

Comparison to Other Tools

There are a few similar tools in this space, and new ones appearing everyday. Here's what sets this one apart:

  • Server-first architecture - Not a desktop app. Runs as a server you can access from any device, including your phone. Start a task away from your computer and check in on it later.
  • Remote runtimes - Run agents on remote servers and Docker hosts, not just your local machine.
  • Multi-provider - Use Claude Code, Codex, Copilot, Gemini, Amp, Auggie, and OpenCode side by side. Not locked to one vendor.
  • CLI passthrough and chat - Interact with agents through structured chat messages or drop into raw CLI mode for full agent TUI capabilities.
  • Open source and self-hostable - No vendor lock-in, no telemetry, runs on your infrastructure.

Contributing

Contributions are welcome! Please read CONTRIBUTING.md before opening a PR.

See the issue tracker for open tasks, or join our Discord to chat with maintainers and other contributors.

Acknowledgments

Built with these excellent open-source projects:

Monaco Editor · Tiptap · xterm.js · dockview · CodeMirror · dnd-kit · Mermaid · Recharts · TanStack Table · Zustand · Shadcn/UI · Radix UI · Tailwind CSS

License

AGPL-3.0

Star History

Star History Chart
S
Description
Upstream mirror of https://github.com/kdlbs/kandev (main). Internal development and testing.
Readme 371 MiB
Languages
Go 58.3%
TypeScript 37.6%
HTML 1.9%
JavaScript 0.8%
Python 0.7%
Other 0.5%