Agent managers are a new category of developer tool for running multiple AI coding agents in parallel. The term isn't fully settled — you'll also hear "orchestrator," "multiplexer," or "agentic development environment." This page explains what they do, why they exist, and what's still broken.
terminal chaos
You're running Claude Code in one terminal, Codex in another, Aider in a third. Each is on a different branch. You alt-tab between them, lose track of which is which, and accidentally paste into the wrong one.
worktree hell
Git worktrees are the right isolation primitive, but managing them manually is painful. git worktree add, git worktree remove, tracking paths, cleaning up stale ones, rebasing back to main. Even experienced developers fumble this.
the review bottleneck
As one developer put it: "the bottleneck is not how fast we can produce code but the speed at which we can review it and context switch." Running more agents means more diffs to review, more branches to reconcile, more cognitive load.
context isolation
Each agent gets its own git worktree. No stepping on files. No merge conflicts until you're ready. The tool creates and cleans up worktrees automatically.
attention management
Desktop notifications when an agent finishes, errors, or needs input. You don't have to watch terminals — the tool tells you when to look.
session persistence
Close the app, reopen it, your agents are still there with their full history. No lost context, no re-explaining what you were working on.
unified review workflow
View diffs, commit, push, rebase, and merge from one interface instead of switching between your terminal, git client, and diff viewer.
The terminology is genuinely unsettled. The Claude Squad community calls them "multiplexers." Hacker News and enterprise developers say "orchestrators." Emdash coined "agentic development environment" (ADE). We use "agent manager" but we're not precious about it. The category is new enough that no term has won yet — what matters is the problem being solved, not what you call the solution.
Addy Osmani proposed a useful framework: "conductors" maintain a tight, synchronous feedback loop with a single agent — you prompt, it codes, you review, repeat. "Orchestrators" manage an async fleet — you fire off tasks to multiple agents, they work in the background, and you review PRs as output. Most tools sit somewhere on this spectrum. Some lean conductor (interactive, one-at-a-time), others lean orchestrator (fire-and-forget, batch processing). Agent managers tend toward the middle — you're running multiple agents interactively, not autonomously.
the review flood
Running 5 agents that each produce 200 lines of changes means 1,000 lines of diff to review. No tool has built a good interface for comparing outputs across parallel agents or mix-and-matching the best parts from each.
token costs at scale
Running multiple agents burns through API usage limits fast. Developers on Claude Pro report hitting limits in 10–15 minutes with multi-agent workflows. Cost transparency and token budgeting across parallel sessions is mostly absent.
context window degradation
As agents run longer, their context windows fill up and output quality drops. One developer observed: "agents cut corners as their context window fills up." Managing context health across multiple long-running agents is manual and fragile.
Several tools approach this problem differently. Here are the main ones as of early 2026:
Pane — keyboard-first, cross-platform (Windows, Mac, Linux), agent-agnostic, open source. Terminal-native approach.
Superset — agent-agnostic desktop app, macOS-tested. Side-by-side sessions with diff viewer.
Conductor — Mac-only desktop app for Claude Code and Codex. GUI-first, worktree management.
Claude Squad — open-source terminal UI. Requires tmux. Multi-agent sessions in terminal panes.
Emdash — YC W26, open source. Integrates with Linear, Jira, GitHub Issues. Calls itself an "agentic development environment."
Vibe Kanban — Kanban-style agent orchestrator. Mouse-first, team-oriented.