One coding agent is easy to manage. Three at once in the same folder will overwrite each other's files, and you lose track of who changed what. The fix most of the community has settled on is a separate git worktree per agent, plus something that shows you what each agent is doing.
These ten projects cover that whole setup: isolating the work, watching it, handing tasks around, and keeping the agents from doing something you can't undo. I've put them roughly in the order you'd adopt them, so you can stop reading once your problem is solved.
Every entry below was found through the @RoundtableSpace feed on X, then checked against the project's own page on 4 November 2026. Numbers quoted are the projects' own claims. Read each license and README before you depend on anything here.
| Project | Best for | License |
|---|---|---|
| Worktrunk | Worktrees that feel like branches | MIT or Apache 2.0 |
| Orca | A desktop app for side-by-side agents | MIT |
| T3 Code | Controlling agents from phone, web or desktop | MIT |
| OpenHands Agent Canvas | A self-hosted control center for a team | MIT |
| ThinkRail | An agentic IDE with living specs | Apache 2.0 |
| Kanzo | A task board you share with agents | AGPL 3.0 |
| CC Switch | One place for providers, MCP and skills | MIT |
| agentlog | Reading what another agent did | Apache 2.0 |
| Files pane for Claude Code | Seeing edits live beside the chat | MIT |
| ai-setup | Guardrails before you run agents unattended | MIT |
1. Worktrunk
Worktrunk is a command line tool for git worktree management, built for running AI agents in parallel. Its pitch is that three core commands make worktrees as easy as branches, and it adds hooks and other quality-of-life features for juggling many parallel changes.
If you have never used a worktree, the idea is simple. Git lets one repository have several checked-out folders, each on its own branch. Give each agent a folder and they can't trample each other's edits, while you still merge through normal git. Plain git worktree add works too, but creating, entering and cleaning up folders by hand gets tedious at five agents. That's the friction this tool removes.
Install with brew install worktrunk && wt config shell install, or with cargo install worktrunk if you prefer Cargo. The README asks people to post any friction they hit, which is a good sign for a young tool.
Start here if you work in a terminal and want the smallest possible change to your habits.
2. Orca
Orca calls itself an AI orchestrator. It runs Codex, Claude Code, OpenCode or Pi side by side, each in its own worktree, tracked in one place. One feature stands out: you can fan a single prompt across five agents, each in its own isolated worktree, then compare the results and merge the winner.
That turns parallelism into a way of getting options, which suits design-heavy tasks where you can't say in advance which approach is best. It costs tokens, so keep it for decisions that matter.
Orca also has a mobile companion for iOS and Android. You can get a notification when an agent finishes and send a follow-up from your phone. The terminal side offers splits with WebGL rendering. Install with brew install --cask stablyai/orca/orca.
Choose this over Worktrunk if you'd rather have a window than a command line, or if you want to check on long runs while away from your desk.
3. T3 Code
T3 Code describes itself as an agent harness control surface. It controls the agents already on your machine through a mobile app, a web app and an Electron desktop app, and it works with your existing subscriptions for Claude Code, Codex, Cursor, Grok Build, OpenCode, Google Antigravity and others. If a tool is set up on your computer, T3 Code can drive it.
The detail I like is in the README's own FAQ: asked what it's selling, the answer is nothing. The team built it because they wanted a better experience than the existing apps. That matters when you're choosing a layer to sit between you and your agents, since you aren't signing up for another model subscription.
Installation is a curl script or brew install --cask t3-code. As with any curl-to-shell install, read the script first if you are on a work machine.
4. OpenHands Agent Canvas
OpenHands now presents itself as Agent Canvas, a self-hosted developer control center for coding agents and automations. It runs OpenHands, Claude Code, Codex, Gemini, Pi, OpenCode or any ACP-compatible agent across local, remote and cloud backends. The stated goal is to turn your agents into an always-on engineering team.
This is the heaviest option in the list, and the one aimed at a team more than a person. You can install it with npm install -g @openhands/agent-canvas or run it in Docker. Self-hosting is what makes it interesting for companies that can't send code through a third party's dashboard. The trade is that someone has to run it.
If you are one developer with a laptop, the earlier tools will get you further for less effort. If you want scheduled automations and shared visibility, look here first.
5. ThinkRail
ThinkRail is an agentic IDE from JetBrains. It wraps a rich interface around the pi coding agent, isolates work into separate workspaces, and gives the agent durable project knowledge through living specs and reusable skills. The README says full extension support is coming next, so that ThinkRail can create the tools it needs based on how you work.
Living specs are the part worth studying. Most agent sessions begin with no memory of why the code looks the way it does. A spec that stays in the project and gets updated gives each new session that background without you pasting it in. You can apply the same idea in any setup by keeping a short, current design file in the repo.
It installs through a curl script, with a nightly channel for people who want the newest build.
6. Kanzo
Kanzo is a kanban board in your browser and an MCP server in one 4.5 MB program, so you and your coding agents work on the same tasks. There is no account, no server and no setup: run kanzo and it works. You never edit a file. You use the board, your agents use MCP to take tasks, move cards and comment, and scripts use the kanzo command.
This solves a problem worktrees don't. Isolation stops agents colliding on files, but nothing stops two of them picking up the same job, or tells you what is waiting. A shared board does both, and it gives you a place to queue work before you sit down.
Install with the curl script for macOS and Linux, or cargo install kanzo. Note the AGPL license if you plan to build it into a hosted product.
7. CC Switch
Run several agents and you soon have several config files in several formats. CC Switch is a manager for Claude Code, Claude Desktop, Codex, Gemini CLI, Grok Build, OpenCode, Hermes Agent, Pi and more. It switches API providers in one click and manages MCP servers, skills and prompts in one place, so you stop hand-editing JSON, TOML and YAML.
Its value grows with the number of tools you run. If you use one agent with one provider, you don't need it. If you test models across three tools each week, a single place to flip providers saves real time and prevents the classic mistake of leaving a test key in a config.
Install with brew install --cask cc-switch. The README names ccswitch.io as the only official website, so check you are on the right domain before downloading.
8. agentlog
agentlog is a command line reader for Claude Code, Codex and GitHub Copilot CLI session logs. It finds another agent's session, shows what it ran, changed and spent, and searches across all of them. It is read-only, makes no network calls, and is written in pure Go.
The README explains the reason well. Agents keep needing to know what another agent did, the answer is in the logs on disk, and each harness writes raw JSONL in its own shape. So agents were writing a new parser at every handoff. agentlog is that parser, written once. An agent gives it whatever it knows, such as a directory, a time or a word from the task, and gets back a bounded overview.
That last word matters. A bounded result stays small enough to fit in the next agent's context. Use this when one agent stops and another has to pick up the work. Install with go install github.com/Ryheff24/agentlog/cmd/agentlog@latest.
9. Files pane for Claude Code
This one is a small Claude Code mod that shows what Claude reads, edits and commits, live, in a VS Code-style file tree beside your chat. It also has a live card showing Claude's thinking, the command it is running and the file it is reading.
Parallel work makes review harder, because you can't watch everything. A live file tree gives you a quick signal that an agent has wandered into a folder it had no reason to touch, and you can stop it early. It only helps with Claude Code, so it won't suit a mixed setup. The README shows how to run it from a clone using claude --plugin-dir ., which is also a neat way to try a mod without installing it for good.
10. ai-setup
Run agents in parallel and you stop reading every command. ai-setup makes your coding agent ask before git push, rm -rf or reading your SSH keys. One folder configures Claude Code, OpenCode and Codex the same way on every machine.
One policy.json and one guard decide allow, ask or deny for every shell command, with secrets as a hard deny, and Claude also gets an OS sandbox from the same policy. It also tries to cut waste: coach picks model and effort before you start, a hook warns when context passes 100k, and usage_report.py audits your spending.
Even if you don't adopt it, read the policy file. A written list of what an agent may never do is worth having in any setup. Clone it into its final path, because the README notes that the links point there.
A sensible order to adopt these
Don't install ten tools. Add one when you feel the matching pain.
- Two agents, same repo: start with Worktrunk, or plain git worktrees.
- Lost track of what is running: add Orca or T3 Code. You only need one of them.
- Agents repeating or colliding on tasks: add Kanzo.
- Handoffs losing information: add agentlog.
- Running anything unattended: add ai-setup first, before you need it.
Keep two limits in mind. Parallel agents multiply your token spend, and they multiply review work as well. If you can't read and test what comes back, more agents only produce unreviewed code faster. A good test is whether you can name, for each running agent, what it is doing and how you will check the result. If you can't, run fewer.
A small starter workflow
Here is a setup that uses plain git, so it works with any agent:
- Write one sentence for each task, with the test that proves it is done.
- Create a worktree per task with its own branch.
- Start one agent in each worktree, and give it only that task.
- When an agent finishes, run the tests in that folder yourself.
- Merge one branch at a time, and rebase the rest before you continue.
Merging one at a time is the step people skip. Two branches can pass tests alone and still break each other. If you want a ready-made way of working with several Claude Code agents as a team, my paid kit Ship It Solo: The Claude Code Agent Team Kit is built around that idea.
What worktrees do not solve
Worktrees isolate files. They do nothing about shared state outside the repo. Two agents can still fight over the same local database, the same dev server port, or the same cloud account. If your tests touch a shared resource, either give each worktree its own copy or run those tests one at a time. A small script that picks a free port and a temporary database name per worktree prevents most of this.
Dependencies are the other surprise. Each worktree is a fresh folder, so node_modules and build caches don't come along. Plan for an install step, or link a shared cache where your package manager supports it. Secrets files that git ignores are also missing from a new worktree, and agents will often invent a placeholder when they can't find one. Tell them where the real file lives, and keep production keys out of their reach.
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