Multi-Agent

Multi-Agent Coding Platform — One Workflow, Many AI Agents

Why limit yourself to one AI coding agent? DevboardAI is a multi-agent coding workspace that lets you assign Claude Code, OpenAI Codex, Kimi, or any CLI-based tool to each task — orchestrating parallel coding agents with subagent coordination in a single sprint.

Quick answer

A multi-agent coding platform coordinates multiple AI coding agents in one automated workflow. DevboardAI orchestrates Claude Code, OpenAI Codex, and Kimi in parallel on Mac, running a full sprint autonomously in dependency order with a built-in QA retry loop — $74, lifetime access, no subscription.

The Problem

One Agent Can't Do Everything Well

Different AI models have different strengths. Claude Opus excels at complex architecture. Haiku is fast and cheap for simple fixes. Codex has its own strengths for certain stacks. Using just one model for everything means you're either overpaying or underperforming on every task.

Supported Agents

Mix and Match AI Agents Per Task

Assign any supported agent to any task. The orchestrator runs them all in the right order, regardless of which model handles each task.

Claude Code

Anthropic's CLI coding agent. DevboardAI supports Haiku (fast, cheap), Sonnet (balanced), and Opus (most capable). Value Mode auto-selects the right tier per task complexity.

OpenAI Codex

OpenAI's coding agent. Assign Codex to tasks where it excels — or mix it with Claude agents in the same sprint for the best of both models.

Kimi

Moonshot AI's coding agent. Another option in your multi-agent toolkit — useful for specific workloads or as a fallback when rate limits hit other providers.

Any CLI-Based AI Tool

DevboardAI orchestrates any AI tool that runs via CLI. As new coding agents launch, they plug into the same workflow without changes.

Value Mode

Auto-Select the Right Model Per Task

Don't want to manually assign agents? Enable Value Mode and the orchestrator picks the optimal model tier for each task based on complexity — Haiku for quick fixes, Sonnet for standard features, Opus for architecture. Save money without thinking about it.

Rate Limit Handling

Intelligent Backoff and Model Switching

When one provider hits a rate limit, the orchestrator automatically backs off and can switch to an alternative model — keeping your sprint running instead of stalling.

Frequently asked questions

What is a multi-agent coding platform?

A multi-agent coding platform is a developer tool that coordinates two or more AI coding agents — such as Claude Code, OpenAI Codex, and Kimi — within a single automated workflow, assigning each task to the most suitable model and running them in parallel or sequence. DevboardAI is a macOS-native multi-agent coding platform that orchestrates these agents autonomously across a full development sprint.

Which AI agents does DevboardAI run?

DevboardAI works with Claude Code (Haiku, Sonnet, and Opus tiers), OpenAI Codex, Kimi, and any CLI-based AI agent. You need at least one agent installed on your Mac; from there you can mix agents freely across tasks in the same sprint.

Can DevboardAI run multiple coding agents in parallel?

Yes. DevboardAI's Orchestrator executes independent tasks in parallel across whichever agents you have assigned, so work that does not depend on each other runs simultaneously rather than one at a time. Tasks with dependencies are queued in the correct order automatically.

How does DevboardAI coordinate agents across a sprint?

The Orchestrator analyses task dependencies in your sprint, dispatches independent tasks to their assigned agents in parallel, and sequences dependent tasks automatically. When a task fails, the built-in QA retry loop captures the error output and feeds it back into the next attempt — no manual intervention needed.

How much does DevboardAI cost?

DevboardAI costs $74 as a one-time payment for lifetime access with no subscription. A 7-day money-back guarantee is included. For comparison, Cursor Pro is roughly $20 per month ($240 per year), so DevboardAI pays back the difference in about 3.7 months.

Does DevboardAI work on Windows or Linux?

No. DevboardAI is macOS only and runs on Apple Silicon (M1 through M4) and Intel Macs. Windows and Linux are not supported. The agents themselves run locally on your Mac; an internet connection is required only because each agent calls its own external API.

Use Every AI Agent at Its Best

One multi-agent coding workspace, multiple autonomous coding agents, zero babysitting. One-time payment, lifetime access.