nervous-system

内容来源:README.md(说明文档) · 原始地址 · 查看安装指南

原始内容

NERVous System

A durable multi-agent orchestration and coding-agent coordination framework for pi. NERVous System helps coding agents plan, delegate, coordinate, execute, recover from interruptions, and review work continuously.

Invoke /nervous, give it a task description, and walk away.

Find it in the pi package directory by searching for multi-agent orchestration, coding-agent coordination, subagent delegation, durable task planning, workflow recovery, or risk triage.

Quick start

pi install npm:nervous-system

Then start a durable workflow:

/nervous implement this feature with durable planning and worker delegation

NERVous installs the complete suite: CORTEX, MAGI, AXON, SYNAPSE, LION, CEREBEL, GANGLION, AMYGDALA, and the dashboard. Its model tools are inactive in a fresh session chain. An exact /nervous [task] command activates the operator-permitted component set after any current run becomes idle, then keeps the coordinated workflow available for later turns on that branch. Keep the package installed but turn its runtime resources off or back on with /nervous:config enabled=false or /nervous:config enabled=true. Use /nervous:state to see exactly what the current work context retains and /nervous:reset to archive that whole context before unrelated work.

Highlights

  • One-time task framing turns abstract requests into concrete goals before deliberation
  • Durable goals and task state that survive compaction, restarts, and interruptions
  • Pi-native transport retries with an explicit settled-interruption resume valve
  • Deliberation, risk triage, and explicit verification for difficult work
  • Parallel coding subagents with orchestration, capacity allocation, and live progress
  • Project- and context-isolated state with explicit retention diagnostics, safe reset archives, and a fault-isolated dashboard

Documentation

Guide Contents
Documentation index Suggested reading paths and all guides
Getting started Installation, first use, updates, removal, and local development
Architecture Components, execution flow, repository layout, and package design
Operations Worker controls, dashboard, state isolation, and configuration
Benchmark NERVous prompts compared with a raw LLM baseline
Release policy Version compatibility, state policy, and known limitations

Status: The complete core component set and deterministic end-to-end demo are implemented and tested.