pi-subagents

Pi extension for single-agent delegation and scripted multi-agent workflows

Packages

Package details

extensionskillprompt

Install pi-subagents from npm and Pi will load the resources declared by the package manifest.

$ pi install npm:pi-subagents
Package
pi-subagents
Version
0.43.0
Published
Aug 7, 2026
Downloads
196K/mo · 66.6K/wk
Author
nicopreme
License
MIT
Types
extension, skill, prompt
Size
3 MB
Dependencies
3 dependencies · 4 peers
Pi manifest JSON
{
  "extensions": [
    "./index.ts"
  ],
  "skills": [
    "./skills"
  ],
  "prompts": [
    "./prompts"
  ]
}

Security note

Pi packages can execute code and influence agent behavior. Review the source before installing third-party packages.

README

pi-subagents

pi-subagents lets Pi delegate work to focused child agents. Use it for code review, scouting, implementation, parallel audits, saved workflows, background jobs, and anything else that benefits from a second or third set of model eyes.

https://github.com/user-attachments/assets/702554ec-faaf-4635-80aa-fb5d6e292fd1

Install

pi install npm:pi-subagents

That is the only required step.

Try this first

You do not need to create agents, write config, or learn slash commands. After installing, ask Pi in plain language:

Use reviewer to review this diff.
Ask oracle for a second opinion on my current plan. Challenge assumptions and tell me what I might be missing.
Use scout to understand this code based on our discussion, then ask me clarification questions.
Run parallel reviewers: one for correctness, one for tests, and one for unnecessary complexity.

That is enough to start. Pi decides whether to call the subagent tool, which agent to use, and how to compose the work.

How it works

Pi is the parent session. A subagent is a focused child Pi session with its own job.

When you ask for a subagent, Pi starts the child, gives it the task, and brings the result back. Foreground runs stream in the conversation. Background runs keep working and can be checked later.

Installing the extension does not start an automatic reviewer in the background. It gives Pi a delegation tool. If you want every implementation reviewed, say so in your prompt or project instructions:

When you finish implementing, run a reviewer subagent before summarizing.

Builtin agents

The extension ships with agents you can use immediately:

Agent Use it when you want...
scout Fast local codebase recon: relevant files, entry points, data flow, risks.
researcher Web/docs research with sources and a concise research brief.
worker Implementation work. Edits files, validates, escalates unapproved decisions instead of guessing.
reviewer Code review and small fixes against the task/plan, tests, edge cases, and simplicity.
oracle A second opinion before acting. Challenges assumptions without editing.
delegate A lightweight general delegate that behaves close to the parent session.

Rule of thumb: scout before you understand the code, researcher before you trust external facts, worker to implement, reviewer to check, and oracle when the decision itself feels risky.

Common workflows

Want Ask naturally
Get a second opinion "Ask oracle to review this plan and challenge assumptions."
Solve a hard problem "Use oracle to investigate this bug before we edit."
Review a diff "Use reviewer to review this diff."
Run parallel reviewers "Run reviewers for correctness, tests, and cleanup."
Implement then review "Implement this, then review it."
Review until clean "Run a review loop on this change with a max of 3 rounds."
Execute a plan carefully "Have worker implement this approved plan, then run reviewers and apply the feedback."
Scout before planning "Use scout to inspect the auth flow before planning."
Run in the background "Run this in the background."
Use a saved workflow "Run the review chain on this branch."
Browse agents "Show me the available subagents."
See running work "Show active async runs." or "Show the subagent fleet."
Check setup "Check whether subagents are configured correctly."

For implementation work, the recommended loop is clarify → scout → worker → fresh reviewers → worker. Packaged prompt shortcuts like /parallel-review and /review-loop make these patterns repeatable — see Workflows.

Where running work shows up

Foreground runs stream progress in the conversation. Background runs keep working after control returns to you.

In the TUI, a persistent FleetView below the editor keeps active work visible. /subagents-fleet opens a live inspector where you can browse children, read transcripts, steer a running child, or stop a run. You can also just ask: "Show me the current async runs."

Details, keybindings, and the machine-readable run artifacts are in Observability.

If something feels off

/subagents-doctor

or ask: "Check whether subagents and intercom are set up correctly."

Documentation

The full reference lives in docs/:

Doc What's in it
Agents Custom agents, frontmatter reference, overriding builtins, tools, extensions, skills, per-agent memory.
Models Default models, per-role overrides, recommended tiering, fallbacks, thinking levels, model scope enforcement, profiles.
Workflows Orchestration patterns, prompt shortcuts, scripted workflows, worktree isolation, child-to-parent coordination, the recursion guard.
Watchdog The opt-in adversarial change reviewer, scope monitoring, LSP checks, and child tool permissions.
Tool reference Every subagent parameter, management actions, status/control actions, acceptance gates, external CLI runners.
Observability FleetView, the fleet inspector, lifecycle artifacts, events, logs, session sharing.
Missions and schedules Durable mission records, delivery receipts, timed and recurring runs.
Configuration Every config.json key and environment variable.
Extension API The RPC, delegation API, preflight, capability ceilings, background-work providers, Herdr integration.