Guides, comparisons and playbooks for running AI coding agents

Tallos is a desktop ADE for macOS and Windows. Each feature below exists so several AI coding agents can work at once — isolated, visible and reviewable — while you stay in charge of what ships.

• Automations: scheduled agent runs and scheduled squadsTallos automations run an agent prompt or a saved squad on a schedule: hourly, daily, weekdays, weekly or cron. Prechecks, catch-up runs and run history.
• Built-in browser: see what your agents built, point at what to fixA real browser in every Tallos workspace. Pick any element and send its HTML, styles and a screenshot to an agent. Profiles keep logins apart.
• The tallos CLI and bundled skills: let your agents drive TallosThe tallos CLI lets agents create worktrees, drive terminals and the browser, and coordinate other agents. Bundled skills install on first launch.
• Agent connections: install, sign in and pick models for every agent CLISettings → Connections in Tallos installs Claude Code, Codex, Gemini CLI and more with the vendor's own command, signs you in and lists models.
• Diff review: read every AI change, send notes back, ship what you approveTallos gives every workspace a diff viewer. Leave notes on any line, send them to the agent in one batch, then commit, push and open the PR in the app.
• MCP servers for Claude Code and every agent: set up and inspect them per repoSet up an MCP server for Claude Code with a .mcp.json file. Tallos shows every MCP server a repo defines, with transport, status and masked secrets.
• Native chat: talk to your coding agents, drop to the terminal anytimeTallos opens supported coding agents in a readable chat: messages, tool calls, diffs and questions. One switch takes you to the raw terminal and back.
• Parallel workspaces: one isolated git worktree per taskTallos gives every task its own git worktree, so several coding agents work on the same repo at once without touching each other's files.
• Remote workspaces: run your agents on a bigger machine over SSHRun AI coding agents on a remote machine over SSH with Tallos. Git, terminals and agents run on the host; the editor and diffs stay on your desktop.
• Agent skills for Claude Code, Codex and Gemini CLI: examples, bundled skills and your ownClaude Code skills are folders with a SKILL.md file. See real examples, the skills Tallos installs into your agents offline, and how to write your own.
• Squads: a leader agent that runs your agent teamA Tallos squad is a leader agent plus member agents. It splits your objective, checks every result, loops, and stops for your approval.
• Terminal: every agent, dev server and test run in one split viewThe Tallos terminal runs agents, dev servers and tests in split panes. Search scrollback, and quit without killing agents: sessions restore on launch.

A squad is a leader agent plus members whose jobs you write. These playbooks show the setup, the objective to paste, the limits to use and what you get at the end.

• Best of three: crack a hard problem three waysBest-of-three squad playbook: three AI agents attempt the same objective in separate worktrees, a leader compares the results and recommends one.
• Close a bug straight from the ticketSquad playbook: paste a Linear, Jira, GitHub or GitLab link and AI agents reproduce the bug with a failing test, fix it and review the fix.
• Build + review: refactor with a reviewer on watchBuild + review squad playbook: one AI agent builds, another reviews, and they loop until the reviewer approves. Nothing reaches you before that.
• Run maintenance on a schedule with a squadScheduled squad playbook: save a build + review squad once and Tallos runs it every weekday, leaving a reviewed dependency upgrade for you to accept.
• Ship a feature end to end with a squadA squad playbook to ship a feature with AI agents: a leader splits API, UI and tests across members, checks each part and hands you one branch to accept.
• Raise test coverage in parallel with a squadTest coverage squad playbook: a leader assigns one module to each of four copies of the same AI agent, then merges every new test into one branch.

Tallos does not replace your agents. It runs them — each in its own workspace, side by side — using the accounts and API keys you already have. Pick an agent to see how it works in Tallos.

• Run Claude Code in parallel — TallosRun multiple Claude Code sessions at once, each in its own git worktree. Chat view, account switching, usage limits and squads. macOS and Windows.
• Run Codex in parallel — TallosRun many OpenAI Codex CLI sessions at once, each in its own git worktree. Chat view, account hot-swap, rate-limit readouts and squads. macOS and Windows.
• Run Gemini CLI in parallel — TallosRun several Gemini CLI sessions at once, each in its own git worktree. Install and sign in from one page, mix Gemini with other agents in squads.
• Run GitHub Copilot CLI in parallel — TallosRun several GitHub Copilot CLI sessions at once, each in its own git worktree. Tallos detects copilot, tracks status and mixes it with other agents.
• Run Grok CLI in parallel — TallosInstall Grok CLI, sign in and run several sessions at once, each in its own git worktree. Chat view with model and effort pickers. macOS and Windows.
• Run MiMo Code in parallel — TallosInstall Xiaomi's MiMo Code from one page, sign in and run several sessions at once, each in its own git worktree. Mix MiMo Code with other agents.
• Run OpenCode in parallel — TallosRun several OpenCode sessions at once, each in its own git worktree. Pick a model per session and mix OpenCode with other agents in squads.
• Run Qwen Code in parallel — TallosInstall Qwen Code from one page and run several sessions at once, each in its own git worktree. Mix Qwen Code with other agents in squads.

Practical, step-by-step guides — from installing Tallos to running your first squad. Each one works on its own; together they take you from one agent to a team.

• Benchmark AI models for coding on your own repositoryBenchmark AI models for coding on your own repo: run the same tasks with several agents in isolated workspaces, score them with a rubric, decide per task.
• How to connect Claude Code, Codex, Gemini CLI and other agents to TallosConnect AI coding agents in Tallos: install each CLI, sign in or save an API key in secure storage from Settings → Connections, and pick a default agent.
• Claude Code cost per month: what running AI agents in parallel really costsClaude Code cost per month depends on subscription vs API billing, usage limits and how many agents run at once. What drives it and how to control it.
• Your first squad: create, run and accept a multi-agent teamRun your first Tallos squad: write the objective, pick a template, set the leader and members, answer the leader's questions, then accept or discard.
• Your first task in Tallos: from project to reviewed diffRun your first AI agent task in Tallos: open a project, start a task in its own workspace, watch the agent, review the diff, then keep or discard.
• Git worktrees for AI agents: commands, pitfalls and automationGit worktrees give each AI coding agent its own folder and branch. Learn add, list, remove and prune, the common pitfalls, and how Tallos automates it.
• How to install Tallos on a Mac (Apple Silicon and Intel)Install Tallos on macOS 13+: create your account, pick the Apple Silicon or Intel build, drag it to Applications and open your first project.
• How to install Tallos on Windows 10 and 11Install Tallos on Windows 10 or later: create your account, run the installer, handle SmartScreen, pick PowerShell, CMD or WSL and open a project.
• How to run multiple Claude Code sessions at the same timeRun several Claude Code sessions in parallel without conflicts: one git worktree per session. The manual way with terminal tabs, and the Tallos way.
• How to review AI-generated code: a checklist and workflowReview AI-generated code with a 10-point checklist: scope, tests, dependencies, security. Then annotate the diff and send notes to the agent in Tallos.
• Vibe coding for beginners: from zero to your first appVibe coding for beginners, step by step: pick an AI coding agent, describe your app in plain words, iterate safely and review every change you keep.

No invented benchmarks, no winners declared. These comparisons explain the trade-offs so you can decide — and show how to test options on your own repo.

• ADE vs IDE: what changes when agents do the typingADE vs IDE: an IDE is built for a person editing files; an ADE is built for AI agents running tasks in parallel. Differences, tradeoffs, when to use each.
• Tallos vs AI code editors: built for multi-agent development, not added as an AI sidebarTallos vs AI code editors: editors add AI to hands-on coding; Tallos runs many coding agents in parallel, each in its own workspace. What each does best.
• Claude Code vs Codex: a neutral comparison, and why you can run bothClaude Code vs Codex: both are AI coding agents that run as CLIs in your terminal. See how they compare, and how to test both on your own repo in parallel.
• One AI agent vs many: when parallel agents are worth itOne AI coding agent or many? Compare sequential and parallel agent work, the real cost of coordination, and four patterns that make many agents pay off.
• Claude Code vs Codex vs Gemini CLI: three agent CLIs, compared fairlyClaude Code vs Codex vs Gemini CLI: three AI coding agents that run in your terminal. Vendors, install, sign-in, and how to test all three on your repo.