kdlbs/kandev

Kandev

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

Features | Workflows | Run as a Service | Roadmap | Contributing | Architecture | Discord

<p align="center"> <img src="docs/screenshots/readme-intro.gif" alt="Kandev Demo"> </p>

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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, Cursor, Qwen, Factory Droid, iFlow, Kilocode, Pi, Kimi, AWS Ki