Multiple agents
Coordinate parallel sessions, worktrees, context, and ownership.
Parallel agents help when jobs can move independently. Give each a clear outcome and an isolated checkout when it changes code. Shared context and messages reduce copying between terminals, but someone must still own integration and review. The articles here distinguish real parallel progress from a screen full of busy sessions.
Open this topic's article index for AI assistants →
How do I keep a coding agent in the right app in a monorepo?
Identify the owning package, shared dependencies, checkout, and run command before an agent edits one feature in a multi-app repository.
Read → Guide / 2026-09-28Trigger.dev runs stuck in dev? Check for a second agent worker
Trace a queued local task across the app, Trigger.dev project, dashboard, and worker processes when two agent worktrees are open.
Read → Guide / 2026-09-28Can two coding agents use the same development database?
Find which database each agent worktree really uses, choose shared or isolated state deliberately, and review competing migrations before integration.
Read → Guide / 2026-09-28What to do when an AI agent opens a 40-file pull request
Inventory an oversized agent diff, separate independent work from dependencies, and rebuild reviewable PRs without losing the original change.
Read → Blog / 2026-09-28Canopy 0.3.4: test tab recovery, OpenCode usage, and Remote
A task-based reading of the v0.3.4 release notes with a short installed-build trial for closed tabs, OpenCode Statistics, and Remote continuity.
Read → Guide / 2026-09-28Why does my browser show the old app after my coding agent changed the code?
Trace a stale local preview through the checkout, running server, actual port, hot reload, browser cache, and data request before asking an agent to edit again.
Read → Use case / 2026-09-28Canopy vs OpenCode: agent or project workspace?
Compare OpenCode's multi-provider agent, subagents, session stats, and sharing with Canopy's local project workflow around installed CLIs.
Read → Use case / 2026-09-28Canopy vs Conductor for parallel coding agents
Compare two full multi-agent workflows across isolated workspaces, local and cloud execution, preview, PR review, team sharing, and platform support.
Read → Use case / 2026-09-28Canopy vs cmux for coding agents: terminal control or project workspace?
A dated, source-backed comparison of Canopy and cmux across parallel CLI sessions, attention, browser preview, PR review, remote access, and platform fit.
Read → Guide / 2026-09-28Agent session, terminal tab, branch, or worktree: what is the difference?
A practical map of the four things people mix up when running multiple coding agents, with a two-agent example and checkout verification commands.
Read → Guide / 2026-09-28Why does my coding agent keep asking for permission?
Diagnose repeated coding-agent approval prompts by checking the action, CLI rules, working directory, and session before changing permissions.
Read → Use case / 2026-09-28Canopy vs GitHub Copilot CLI for coding agents
A dated comparison of Copilot CLI sessions, models, worktrees, review, voice, and remote control with Canopy's multi-CLI project workflow.
Read → Guide / 2026-09-28MCP server configured but unavailable to your coding agent?
Diagnose MCP scope, connection, authentication, tool selection, and cross-CLI setup with a read-only documentation server as the example.
Read → Guide / 2026-09-28How to set a practical budget for parallel coding agents
Decide how many agents to launch, assign each an output and stop point, then track plan usage, estimates, review load, and accepted work.
Read → Use case / 2026-09-28Canopy vs Warp for coding agents: what changes in the workflow?
A dated comparison of third-party CLI agents, worktrees, review, cloud orchestration, team sharing, local data, accounts, and open-source licenses.
Read → Use case / 2026-09-28Canopy vs Zed for coding agents: which workflow fits?
Compare Zed Agent, ACP external agents, terminal threads, worktrees, Git, tasks, real-time collaboration, and Canopy's project workflow.
Read → Use case / 2026-09-28Canopy vs Claude Code Desktop: which agent workspace fits?
A current, fair comparison of parallel sessions, worktrees, preview, PR review, remote work, supported CLIs, accounts, and operating systems.
Read → Guide / 2026-09-28How many coding agents should you run at once?
A practical way to size parallel agent work by independent tasks, review capacity, worktrees, local resources, and provider usage.
Read → Use case / 2026-09-28Can Claude Code and Codex agents talk to each other in Canopy?
Separate cross-CLI messages from Claude-native agent teams, choose teammate models deliberately, and verify a two-session handoff.
Read → Use case / 2026-09-28Canopy vs Cursor for coding agents: which workflow fits?
A dated, source-backed comparison of independent CLIs, Cursor Agent, worktrees, review, local previews, remote work, accounts, and pricing boundaries.
Read → Guide / 2026-09-28My coding agent edited the wrong branch or worktree. What now?
Identify the actual checkout, preserve every change, move the intended work safely, and verify the correct branch before restarting the agent.
Read → Guide / 2026-09-28Share agent work with a team without sharing model accounts
A practical boundary map for shared project context, CLI profiles, team collaboration, model access, and billing in Canopy.
Read → Guide / 2026-09-28Which coding-agent CLIs work in Canopy, and what differs?
A dated, source-backed comparison of launch, resume, session signals, shared context, and file attribution across seven CLIs.
Read → Use case / 2026-09-28Who can control your coding agent through Canopy Remote?
Understand the PIN, running-host requirement, tunnel, scoped Remote commands, and why terminal access still deserves care.
Read → Use case / 2026-09-28What happens to a coding agent when you close Canopy?
Distinguish a closed tab, hidden project, hibernation, app exit, and CLI conversation resume before relying on a session overnight.
Read → Blog / 2026-09-28Why an AI coding workspace still needs a real terminal
What a PTY preserves for interactive coding CLIs, what Canopy adds around it, and a quick test for comparing agent workspaces.
Read → Guide / 2026-09-28How do I resolve a merge conflict between two coding agents?
Find the conflicting branches, compare each agent's intent, make one integration decision, and test the combined behavior.
Read → Guide / 2026-09-28When a coding-agent session suddenly burns through usage
Pause the session, separate context growth from repeated work and stale estimates, then restart with a smaller verified scope.
Read → Use case / 2026-09-28From GitHub issue to agent draft PR: a reviewable handoff
Read the whole ticket, give one agent a scoped branch, test the running change, and close the loop with evidence in the PR.
Read → Guide / 2026-09-28Research a codebase question without changing code
Choose an answer, source-backed investigation, or implementation task deliberately, then keep findings available for the next decision.
Read → Use case / 2026-09-28Find the old agent session, then resume the right project
Recover a past decision from search, verify the branch and PR, restart local services, and resume only the session that still helps.
Read → Guide / 2026-09-28Share project instructions across Claude Code and Codex
Place durable facts, CLI-specific instructions, reusable skills, and MCP connections where each agent can actually use them.
Read → Use case / 2026-09-28Which coding agent needs me? Triage several live sessions
Avoid replying in the wrong terminal: identify project, checkout, branch, waiting question, and next decision before steering an agent.
Read → Guide / 2026-09-28Why a new agent worktree cannot build: env files and dependencies
Diagnose missing .env files, local packages, Python environments, ports, and shared services before blaming the coding agent.
Read → Use case / 2026-09-28Canopy vs VS Code for coding-agent work
A practical comparison of real CLI sessions, worktrees, PR review, local previews, and the editor features you may still need.
Read → Use case / 2026-09-28How do I stop two agent worktrees from using the same port?
Keep each branch's local preview distinct, identify the process behind a URL, and compare the right running app with the right diff.
Read → Guide / 2026-09-28Switch from Claude Code to Codex without losing the task
A cross-CLI handoff when usage limits, model choice, or review needs change: preserve the goal, branch, evidence, and next action.
Read → Guide / 2026-09-28Git worktrees for parallel coding agents: commands and cleanup
Create a separate branch and directory per coding agent, check status, integrate reviewed work, and remove worktrees safely.
Read → Use case / 2026-09-28Share agent work with a team without sharing AI accounts
A host, implementer, and reviewer handoff through Canopy Team: project chat, files, review requests, disk ownership, and separate model accounts.
Read → Guide / 2026-09-28Keep coding-agent context useful between sessions
Make a handoff that preserves the task, decisions, branch, and evidence without carrying an entire chat transcript forever.
Read → Use case / 2026-09-28Terminal, tmux, or Canopy for coding agents?
Compare the actual jobs: running a CLI, keeping sessions alive, isolating edits, starting services, and reviewing agent work.
Read → Guide / 2026-09-28How to reduce coding-agent token usage without losing the result
Scope tasks, manage growing context, choose models deliberately, and compare accepted work rather than chasing a low token count.
Read → Use case / 2026-09-28Should I use a cheaper AI model first, then a stronger model to review?
Choose current Claude or OpenAI models for triage, implementation, and review; copy the handoff prompts and compare complete task costs.
Read → Use case / 2026-09-27Run Claude Code and Codex side by side without losing the work
A concrete two-agent workflow with separate checkouts, clear ownership, shared project context, and one final review.
Read → Guide / 2026-09-27How to run multiple coding agents without losing track
A two-agent workflow with task ownership, separate worktrees, service ports, attention checks, and a final review decision.
Read → Blog / 2026-09-27Agent swarms do not ship software. Ownership does.
Running more coding agents can increase output and confusion at the same time. Here is a better way to divide work and review the result.
Read → Guide / 2026-09-28Did your coding-agent skill actually load? A five-minute test
Separate skill discovery, invocation, and useful execution with an explicit test, a natural-language test, and one negative control.
Read → Guide / 2026-09-28Review a coding-agent skill before your team shares it
Inspect a borrowed SKILL.md, its scripts, tool access, and test behavior before making a repeatable workflow available to every agent.
Read → Use case / 2026-09-28What do file claims solve when coding agents share a repository?
Use visible file ownership to catch overlapping plans early, then verify checkout isolation, actual edits, and the final integrated diff.
Read → Guide / 2026-09-28Which coding-agent session introduced this regression?
Trace a reproducible failure through the running build, Git history, pull request, and related agent session before assigning a fix.
Read → Guide / 2026-09-28Coding agent stuck or waiting for input? Check the live session
Distinguish a pending decision, active tool, running dev server, completed turn, and failed agent before interrupting or restarting.
Read → Use case / 2026-09-28Canopy vs Devin Desktop (formerly Windsurf) for coding agents
A dated comparison of multi-agent coordination, installed CLIs versus ACP, local previews, review, cloud handoff, and account boundaries.
Read → Guide / 2026-09-28Coding agent hit a usage limit mid-task? Save the work first
Identify the actual limit, preserve the checkout and partial result, then resume, wait, or hand off without repeating work or changing accounts blindly.
Read → Use case / 2026-09-28Canopy vs Superset for parallel coding agents
Compare two local agent workspaces across worktrees, persistent processes, app runs, browser preview, PR review, Remote, and license terms.
Read → Guide / 2026-09-28How to evaluate an AI coding workspace on a real project
A repeatable trial for terminal, IDE, and multi-agent workspaces that follows one change from setup through running behavior, review, resume, and accepted result.
Read → Use case / 2026-09-28Canopy vs Replit Agent for building an app
Compare a hosted AI app builder with a local multi-CLI workspace across first setup, parallel tasks, preview, GitHub, deployment, team access, and usage.
Read → Use case / 2026-09-28Canopy Remote, Claude Code, Copilot CLI, or SSH from your phone?
Choose a remote coding-agent workflow by host state, CLI coverage, project evidence, access rules, and what you can actually verify on a phone.
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