ADE
ADE runs Claude Code, Codex, Cursor and other AI coding agents in one synced workspace across Mac, Windows, iOS and the terminal.
If you already pay for two or more coding agents and spend real time moving between machines, ADE is the rare tool that removes friction instead of adding a console. Its lane model — one git worktree per task — is what makes parallel agents actually safe, and turning a finished chat into a PR with CI and a merge button closes the loop reviewers usually do by hand. The macOS-first story is a real constraint: Windows is beta and Linux is headless-only, so the full desktop control plane is a Mac affair. Compare against GitHub's own agent surfaces and Cursor if you only run one agent on one laptop — you will not feel the pain ADE solves.
Verified 1d ago · liveness 66/100 · cite: rightaichoice.com/tools/ade
- Indie developers running two or more AI coding agents
- Freelancers switching between client machines and wanting session continuity
- Small teams reviewing and merging agent-authored PRs in one place
- Mac-based developers who also want a phone and terminal surface for the same lanes
- Windows-only development shops, since Windows 10/11 x64 support is in beta
- Developers who intend to run just one agent on one machine
- Teams wanting to run ADE on macOS 12 or earlier
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Skip ADE if you develop primarily on Windows or Linux desktops and want the full graphical control plane, since Windows is still beta and Linux runs headless only.
Parallel lanes multiply agent work, so if your coding agents bill per token or per seat you will pay for every extra run ADE makes easy to launch.
ADE is free and open source, which puts it below paid agent-management and enterprise tooling in this category. You still need your own agent subscriptions on top, so the real comparison is your existing Claude Code, Codex or Cursor spend plus nothing for ADE. Solo devs and small teams get the coordination layer without a new line item; teams that need vendor SLAs or managed hosting are shopping in a different bracket.
In short
ADE — ADE runs Claude Code, Codex, Cursor and other AI coding agents in one synced workspace across Mac, Windows, iOS and the terminal. Best for Indie developers running two or more AI coding agents, Freelancers switching between client machines and wanting session continuity, Small teams reviewing and merging agent-authored PRs in one place. Free to use.
What's new in ADE
Checked yesterdayAcross the latest 1 update: 1 feature update.
What people actually say about ADE — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
67 mentions across 6 sources (Hacker News, Product Hunt, Bluesky, Stack Overflow, GitHub, Lemmy) · researched Jul 26, 2026.
Average across the 6 sources that answered — each source counts once, not each post.
- +Free forever—no credit card required, zero cost commitment.
- +Cross-device sync for coding agents works on web, desktop, terminal, mobile.
- +Centralizes agent management in one dashboard, reducing context switching.
- +Real-time sync keeps conversation history and code snippets in sync.
- +GPU-accelerated macOS terminal with built-in code review panel.
- −Almost no community feedback exists—zero validation from real users.
- −No public details on which agents are supported or how integration works.
- −Name overlaps with Adobe Digital Editions (ADE), causing search confusion.
- −No privacy policy or security documentation available yet.
- −Free-forever model raises doubts about long-term viability.
- • No hidden costs reported, but free-forever model may lead to data loss if tool shuts down.
Viability Score
How well maintained and how widely used is ADE? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Runs Claude Code, Codex, Cursor, Factory Droid and OpenCode in one native workspace
- Lanes: each task gets its own git worktree, branch, checkout, terminals, ports and history
- Stacked lanes on a graph with rebase when parent lanes land
- One chat surface for ADE chats and headless CLI sessions
- Grid view that tiles every agent run side by side
- Subagents: one lead plan dispatches a fleet of workers tracked live
- Auto-create worktrees from a task description
- Turn a finished chat into a pull request with diff, checks and merge
- In-app PR review with CI status, comments and auto-merge when green
- Real-time sync of messages, tool calls and proofs across desktop, terminal and iOS
- Terminal-native workspace via ade code
- Built-in browser pane for web QA, element inspection and proof capture
- Remote runtimes: point ADE at a remote machine and run agents there with full tool access
- iOS companion app installed via TestFlight
- Headless Linux server mode driven from Mac, phone or web
About ADE
ADE is a native workspace that runs the AI coding agents you already use — Claude Code, Codex, Cursor, Factory Droid, OpenCode and others — instead of replacing them. Each task gets its own lane, which is ADE's name for a git worktree: an isolated branch, checkout, terminals, ports and history, so several agents can work in parallel without stashing or colliding. You can stack lanes on a graph and rebase when parent work lands. A single chat surface handles both ADE chats and headless CLI sessions, with a grid view that tiles every run side by side. Agent messages, tool calls and proof artifacts mirror to every screen in real time, so you can start a task on a Mac, check a diff from an iPhone, or drive the same lanes with 'ade code' in a terminal. The app also bundles the surrounding work: a built-in browser pane for QA and element inspection, Files, Git, an iOS simulator, and Linear issue tracking. Finished chats can be turned into pull requests with diffs, CI checks and a merge button inside ADE, and auto-merge when green. A persistent project-level operator called the CTO keeps durable memory and reasons across every lane, dispatching subagents for larger plans. Third-party apps can embed a slim ADE runtime as a sidecar via the published @ade-dev/sdk and @ade-dev/chat-ui packages. ADE is open source, runs on macOS 13+, is in beta on Windows 10/11 x64, and runs headless on Linux so a server can host the agent runtime while you drive it from a Mac, phone or the web. Who it fits: indie developers and freelancers juggling multiple agents across machines, and small teams that want parallel agent work reviewed and merged without leaving one app.
Behind the Verdict
ADE's thesis is unusual in this category: it does not try to be your agent. It runs Claude Code, Codex, Cursor, Factory Droid and OpenCode against the same worktrees and puts the coordination layer around them. That reframing is why the product feels less like another chatbot and more like an IDE that happens to be agent-shaped. The core primitive is the lane. Every task gets an isolated branch, working copy, terminals, ports and history, which means parallel agents cannot stomp on each other's files. Lanes can be stacked on a graph and rebased as parents land, mirrored identically in the terminal, desktop app and iOS companion. Describing a task can auto-create the branch and worktree, so you skip git wrangling for routine work. On top of that sits one chat surface. Grid view tiles every run side by side, subagents let one lead dispatch a fleet of workers with live tracking, and messages, tool calls and proof artifacts mirror across surfaces — start in a desktop session, approve a diff from the phone, finish in 'ade code'. What sold us on the workflow is the review loop. A finished chat becomes a pull request with diff, checks and merge, and PRs your agents open land in ADE with CI status and comments, so there is no GitHub tab ping-pong. Auto-merge when green is the natural end of that. The surrounding tools matter more than they sound. A built-in browser pane handles web QA, element inspection and proof capture. Files, Git, the iOS simulator and Linear issues live next to the chat so an agent works against what you are looking at rather than a description of it. The CTO is a persistent project-level operator with durable memory that reasons across every lane — closer to a planning layer than a chatbot persona. Where it does not fit: this is a Mac-first product with a beta Windows build and a headless Linux story, so a Windows-only shop is adopting ahead of the vendor. Deployment flexibility is limited to the surfaces ADE ships, and third-party embedding assumes you are comfortable with the documented SDK rather than arbitrary API plumbing. The app also assumes you already run agents — it is not a place to start from zero.
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Real-world workflow fit
Concrete scenarios for the personas ADE actually fits — and what changes day-one when you adopt it.
Open the repository in ADE, describe a bug fix so ADE auto-creates the branch and worktree, then launch Claude Code in one lane and Codex in another and watch both in grid view.
Outcome: Two agents work the same repo without stashing or collisions, and live diffs land in one chat surface instead of two terminal windows.
Start a refactor lane on the Mac, leave it running, then open the iOS companion from the train to read the agent's messages and approve a diff.
Outcome: The lane, chat history and tool calls follow you across surfaces in real time, so no context is rebuilt when you switch machines.
Turn a finished chat into a pull request, watch CI status in ADE's PR view, resolve a conflict and merge once green, with the Linear issue linked.
Outcome: Agent-authored changes flow from chat to merged PR without leaving the workspace, and the issue tracker stays in sync.
Use Cases
- Run several coding agents in parallel on one repo without file collisions, each in its own lane with its own worktree
- Start an agent task on a Mac, check the diff and approve from an iPhone, finish in the terminal
- Turn a finished agent chat into a pull request with diff, CI checks and merge without opening GitHub
- Set up a headless Linux server as the agent runtime and drive it from a laptop, phone or the web
- Give a lead agent a plan and have it dispatch subagents while you track each worker live
- Do web QA and element inspection in the built-in browser next to the chat the agent is working from
- Pull Linear issues into the same app, move them through states and link the PRs that resolve them
- Embed a slim ADE runtime in your own product as a sidecar and present agent chat as durable named threads
Models Under the Hood
as of 2026-09-23
Limitations
- ADE is generally available on macOS 13+ but Windows 10/11 x64 is in beta, and Linux runs headless only — the agent brain lives on a server while you drive it from a Mac, phone or the web.
- The iOS companion installs through TestFlight, which means pre-release distribution rather than the App Store.
- Lanes are built on git worktrees, so repositories that do not fit that model or teams that never branch will not get the parallelism benefit.
- Parallel runs also depend on whichever agents you connect — ADE coordinates them, it does not supply them.
as of 2026-09-27
Verification history
We have re-verified ADE 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published ADE tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Indie developers, freelancers and small teams running two or more coding agents who want one coordinated workspace without a new subscription
What this tier adds
Entry point: free and open source, with lanes, multi-agent chat, in-app PR review and the iOS companion included rather than gated.
Where the pricing makes sense
The company stage and team size where ADE's pricing actually pencils out — and where peers do it cheaper.
ADE is free and open source, which puts it below paid agent-management and enterprise tooling in this category. You still need your own agent subscriptions on top, so the real comparison is your existing Claude Code, Codex or Cursor spend plus nothing for ADE. Solo devs and small teams get the coordination layer without a new line item; teams that need vendor SLAs or managed hosting are shopping in a different bracket.
Setup time & first value
How long it actually takes to get something useful out of ADE — broken out by persona, not the marketing-page minute.
Individual developer on macOS: install with the one-line shell command, connect an AI provider, open a project and create your first lane in well under an hour. Windows beta users: same flow through the PowerShell installer, with the caveat that the build is beta. Headless Linux server plus a phone or web client: budget more, since you install the runtime on the server and connect a machine
Switching to or from ADE
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a bare terminal plus git: open your existing repository and let ADE create lanes as worktrees, leaving your source tree under Git's control.
- →From running one agent at a time in separate windows: connect the same agent accounts and move each task into its own lane instead of juggling sessions.
- →From GitHub's web PR flow: keep GitHub as the remote and review diffs, CI and comments inside ADE, turning finished chats into PRs.
- →From Linear open in another tab: connect Linear and pull issues, move them through states and link the PRs that close them.
- ↗To a plain git worktree workflow: your branches and worktrees are standard git, so lane work remains usable outside ADE.
- ↗To GitHub review: every PR ADE creates lives in GitHub, so review can continue in the browser with no export step.
- ↗To another agent IDE: your repository, branches and PRs are unchanged, so switching means reconnecting agent accounts rather than migrating data.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “ADE”, and we withheld 6: 6 could not be judged, because “ADE” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about ADE.
Official links
Tools that pair well with ADE
Common stack mates teams adopt alongside ADE, with the specific reason each pairing earns its keep.
Claude Code
Claude Code is Anthropic's agentic coding assistant that plans, edits, and runs commands across your repo from the terminal, IDE, or browser.
Cline
Open-source coding agent that edits code and runs terminal commands across IDE, CLI, and desktop.
GitHub Copilot
GitHub Copilot is an AI coding agent that completes code, reviews pull requests, and runs agents from issue to merge
Featured Head-to-Head Comparisons
Ade vs Bito
If you're a solo dev or freelancer juggling multiple AI coding agents across devices and want a free sync solution, ADE is ideal. For engineering teams wrestling with multi-repo complexity, cross-repo dependency mapping, and need to integrate deeply with Jira/Slack, Bito's system-wide context layer justifies its contact-sales pricing.
Ade vs Cognition Ai
For enterprise teams needing an autonomous software engineer to plan, code, test, and ship production code—with native Windows/Android support and a productivity guarantee—Cognition AI (Devin) is the clear pick. ADE is a free sync layer for developers who already use multiple coding agents and want seamless context across devices, but it doesn't generate code. Choose based on whether you need an AI engineer or an AI orchestrator.
Ade vs Poolside Ai
Poolside AI is built for enterprises that need secure, auditable AI agents for complex software engineering in regulated industries, while ADE is a free synchronization layer for developers juggling multiple existing coding agents. If you require custom models, on-prem deployment, and executive governance, choose Poolside AI. For seamless multi-agent management without cost, ADE wins.
Alternatives to ADE
View allClaude Code
Claude Code is Anthropic's agentic coding assistant that plans, edits, and runs commands across your repo from the terminal, IDE, or browser.
Cline
Open-source coding agent that edits code and runs terminal commands across IDE, CLI, and desktop.
GitHub Copilot
GitHub Copilot is an AI coding agent that completes code, reviews pull requests, and runs agents from issue to merge
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