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agent-teams

MCP Tool

VibeCodingNights/agent-teams

Think in teams, not prompts.

Install

$ npx loaditout add VibeCodingNights/agent-teams

Platform-specific configuration:

.claude/settings.json
{
  "mcpServers": {
    "agent-teams": {
      "command": "npx",
      "args": [
        "-y",
        "agent-teams"
      ]
    }
  }
}

Add the config above to .claude/settings.json under the mcpServers key.

About

agent teams

think in teams, not prompts.

---

your single agent has a ceiling. you've felt it. the context window fills with noise from earlier tasks. independent work runs one thing at a time. you hit the limit, type /clear, and start over.

agent teams break through by giving each worker its own clean context window. one session leads. the others work in parallel, each focused on a single piece. unlike subagents — which can only report back to the parent — teammates talk to *each other*. they share findings, challenge assumptions, coordinate directly.

it's the difference between sending people on separate errands and putting a team in a room.

---

setup
// ~/.claude/settings.json
{
  "env": {
    "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1"
  }
}

one env var. restart claude code.

optional but recommended: install tmux so each teammate gets its own visible pane. without it, everything runs in one terminal — cycle through with Shift+Down.

requires claude code v2.1.32+. check with claude --version.

---

the cost model

each teammate is a full claude code session with its own context window. tokens scale linearly.

1 agent = 1×. 3 agents ≈ 3–5×.

the best recipe: plan first in plan mode (~10k tokens, cheap). hand the plan to a team for execution (~100k tokens, focused). going in blind can burn 500k+ tokens in the wrong direction.

reserve teams for work that justifies the spend.

---

the repo

[try-it/](try-it/) — three prompts to copy-paste tonight. hands on keyboards.

[go-deeper/](go-deeper/) — the patterns that separate burning tokens from getting results.

[field-notes/](field-notes/) — real projects, real costs, real failures. the stories you'll remember.

---

when to use agent teams

is the task complex enough to need more than one session? if no — single session. fast and cheap.

can the subtasks run independently in parallel? if no — subagents. sequential focus.

do the workers need to coordinate directly

Tags

agent-teamsclaude-codemcpmulti-agentvibe-coding

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Last updated21 days ago
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Details

Sourcegithub-crawl
Last commit3/28/2026
View on GitHub→

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