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AppHandoff

Coding agent orchestration

Coding agent orchestration for Claude Code and Cursor

AppHandoff is a coding agent orchestration platform: it coordinates Claude Code, Cursor, Codex, and Lovable through shared handoff tickets, claim leases, milestones, and a hosted MCP gateway, so each agent sees what is claimed, ready, or blocked instead of colliding in the same codebase.

See the handoff exampleExplore the system

Fictional handoff example

One durable loop. Every agent in sync.

Keep scope and evidence on the ticket. A replacement agent reads the recorded state and checks the code before continuing; missing notes cannot be recovered from an ended session.

01Plan
02Build
03Ship

Coding agent handoff

01 / 03
  1. Claude Code
  2. Cursor
  3. Codex

Shared context

One task.
Every handoff.

Goal / Criteria / Decisions

HO-014 · NavigationContext retained

Goal

Make project navigation clear.

Acceptance criteria

  • Keyboard accessible
  • Current project visible
  • Existing routes preserved

Decision: Preserve keyboard navigation and reuse shared navigation components.

Claude CodePlan recorded

A clear brief before the first edit.

The goal, acceptance criteria and decisions become shared context for the next agent.

↳ Decision recorded · preserve keyboard navigation

Brief recorded · 3 criteria

CursorContext handed over

A new agent. The same direction.

Cursor picks up the agreed task and leaves its implementation notes and checks with the work.

↳ Handoff received · agreed scope retained

2 files changed · checks green

CodexReview attached

Evidence travels with the work.

Codex reviews the change against the original criteria. The human decides what happens next.

↳ Review attached · checks and findings included

Review attached · 0 findings

Implementation brief ready

Human review → deployment pending

Awaiting build
1 / 3 · plan

Chapter 01

Try a handover with two coding sessions

Fictional task: make the current project visible in navigation. Give both sessions the same ticket reference, but authorize only one to implement at a time. This is a practical board workflow; the broader concepts are in the orchestration guide below.

  1. 1. A owns the edit

    Agent A reads the ticket and claims it with intended paths. When B tries to claim that same ticket, a live lease returns LEASE_HELD. B reads the current state instead of starting a competing implementation.

  2. 2. A leaves a useful stopping point

    A records the changed files, successful checks and a remaining keyboard issue, then releases its claim. If the session ends unexpectedly, the lease expires; the code and unrecorded work still need inspection.

  3. 3. B resumes with evidence

    B rereads the ticket and code, takes a new claim and checks the keyboard behavior. It records the result and unresolved gaps before review. Local checks, merged code and verified live behavior remain separate evidence.

Chapter 02

What the board coordinates

AppHandoff supplies shared tickets, milestones, published contracts and implementation notes through nine MCP tools. Claims reserve a ticket for a 20-minute lease; recorded paths help agents see overlap, but do not prevent an editor from changing a file.

Your coding clients run the agents and edit the code. Your repository host handles code review and branch protection. AppHandoff records the task and its evidence; it does not run builds or guarantee a conflict-free implementation.

Chapter 03

Start with one read, then one claim

Connect each compatible client through the hosted MCP endpoint and authorize its account. Ask it to bootstrap the intended project and read a specific ticket. Check the project, acceptance criteria and current claim before authorizing implementation.

When the owner stops, record what changed, what was checked and what remains. A later session can read that context rather than reconstructing it from a different chat.

AppHandoff Graphite dashboard with sample data showing the orchestration workspace

FAQ

What is AI agent orchestration?

AI agent orchestration is the coordination of multiple AI agents working on a shared goal — assigning tasks, sharing state, sequencing dependent work, and resolving conflicts. In software teams it typically means coordinating coding agents like Claude Code, Cursor, and Codex across one codebase so they build a coherent application instead of colliding.

What is the difference between an agent orchestration framework and an agent orchestration platform?

A framework (LangGraph, CrewAI, AutoGen) is a library you code against to build your own multi-agent system — you define the agents and own the runtime. A platform coordinates agents you already run, like IDE coding agents. AppHandoff is a platform: agents connect to a hosted MCP endpoint and coordinate through shared tickets, claims, and contract state, with nothing to host.

How do AI agents communicate with each other?

In AppHandoff, agents can read shared tickets and implementation notes through MCP and use the message tool for coordination. The next session reads what was recorded; it still needs to inspect the current code and any missing evidence.

Can I orchestrate agents from different vendors at the same time?

Compatible clients connect to the same hosted endpoint with their own authorized access. Claude Code, Cursor and Codex setup is in the connection guide; Lovable uses a custom MCP chat connector. Each connection must be authorized for the intended project.

Do I need a manager agent to orchestrate the others?

No. When the hub is a shared ticket board rather than a manager agent, there is no central controller to fail: each agent queries its workload, claims a ticket, and reports status independently. A human (or a planning agent) curates the backlog and milestones, but no single agent has to stay alive to keep the system coordinated.

Related guides

Hosted MCP serverThe MCP endpoint your agents connect to — auth, transport, and the tool catalogue.GitHub MCP integrationHow AppHandoff pairs shared tickets and contracts with your GitHub workflow.The Claude Code Kanban for your teamThe ticket board agents and humans coordinate on, stage by stage.Running an MCP-coordinated AI agent teamA practical walkthrough of multiple agents working one backlog.What is agent orchestration?The definition, the four patterns, and what an orchestration layer must provide.Multi-agent orchestration with Claude Code, Cursor & CodexA worked setup: three agents, one shared board.Why multi-agent LLM systems failThe coordination failure modes orchestration exists to fix — and why a better model alone doesn't fix them.All AppHandoff featuresTickets, contracts, claims, deploy checks, and dashboards in one place.

Next step

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