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CNStra

CNStra is a zero-dependency orchestration library for TypeScript/JavaScript. It models your application as a Central Nervous System (CNS): a graph of typed neurons connected by collaterals (output channels) and dendrites (input bindings). Flows become explicit, deterministic, and compile-time safe. Works in React, Node.js, and any JS runtime.

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T04:40:49.965Z. Cached copy · Source on cnstra.org

# CNStra

> CNStra is a zero-dependency orchestration library for TypeScript/JavaScript. It models your application as a Central Nervous System (CNS): a graph of typed neurons connected by collaterals (output channels) and dendrites (input bindings). Flows become explicit, deterministic, and compile-time safe. Works in React, Node.js, and any JS runtime.

**Full documentation as a single file:** [llms-full.txt](https://cnstra.org/llms-full.txt) — every page listed below, concatenated with full content (~260 KB). Fetch this for complete text instead of following links one by one.

## Getting Started

- [Introduction](https://cnstra.org/docs/concepts/intro): Core concepts — neurons, axons, collaterals, signals, stimulation. Biological analogy and key design properties.
- [Quick Start](https://cnstra.org/docs/core/quick-start): Install CNStra and run your first neuron in 5 minutes.
- [CNStra Overview](https://cnstra.org/docs/core/overview): Why MVC/Redux/Signals fall short for workflows and how CNStra fixes it with explicit, traceable orchestration.
- [Basics](https://cnstra.org/docs/concepts/basics): Single-process stimulation, command pattern with signal-based dependency wiring, and separation of mutations from reads.

## Core API

- [API Reference](https://cnstra.org/docs/core/api): Full reference for `collateral`, `neuron`, `dendrite`, `bind`, `CNS`, `stimulate`, `withCtx`, signals, and context.
- [Stimulation Options](https://cnstra.org/docs/core/stimulation-options): Options for `cns.stimulate()` — abort signals, timeouts, and execution control.

## Frontend

- [OIMDB — Optimistic In-Memory Database](https://cnstra.org/docs/frontend/oimdb): CNStra's recommended state layer for React. Zero-overhead reactive reads without a global store.
- [React Patterns](https://cnstra.org/docs/frontend/react-patterns): How to wire neurons into React components, hooks, and lifecycle.
- [Redux Migration](https://cnstra.org/docs/frontend/redux-migration): Step-by-step guide for moving from Redux Toolkit to CNStra.
- [Benchmark](https://cnstra.org/docs/frontend/benchmark): Performance comparison — CNStra+OIMDB vs Zustand, Redux Toolkit, Effector (execution time and memory).

## Backend

- [Backend Overview](https://cnstra.org/docs/backend/overview): Using CNStra for backend workflows, pipelines, and domain events.
- [CQRS](https://cnstra.org/docs/backend/cqrs): Implementing Command/Query Responsibility Segregation with neurons and collaterals.

## Advanced

- [Persistence & Resume](https://cnstra.org/docs/advanced/persistence): How to use CNSPersistOptionsRegistry to serialize in-flight stimulations, persist to DB, and resume after process restart. Patterns for message brokers, checkpointing, and context restore.
- [Best Practices](https://cnstra.org/docs/advanced/best-practices): Signal ownership, neuron granularity, naming conventions, and architectural guidelines.
- [Performance](https://cnstra.org/docs/advanced/performance): Tips for high-throughput stimulati
…

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