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graphonomous — NPM Package Specification — Package: graphonomous Version: 0.4.0 (current) → 0.4.1 (three-package alignment bump) Language: TypeScript (MCP wrapper) + Elixir (engine, vendored escript) License: Apache-2.0…
Graphonomous + Zed MCP Setup Guide — This guide shows you how to run Graphonomous as an MCP server in Zed with a working local setup.
Graphonomous × box-and-box — Arithmetic Compliance Review — Status: review (no behavior change) · Kernel: box-and-box v0.8.0 (8 rungs, 97 laws) Scope: how closely the Graphonomous memory engine (OS-001) already conforms to the [&] govern…
Graphonomous Architecture — Graphonomous is a continual-learning engine for AI agents, implemented in Elixir/OTP and exposed through an MCP server. Its design centers on a graph memory model, confidence-up…
Graphonomous Documentation — Welcome to the documentation hub for Graphonomous.
Graphonomous FAQ — This page answers the most common questions about Graphonomous, its MCP interface, and operating model.
Graphonomous Local Bootstrap & Verification Guide — This guide gives you a reproducible way to bootstrap, run, and verify graphonomous on a local machine.
Graphonomous MCP Tools Reference — Graphonomous exposes its runtime capabilities over MCP as 5 loop-phase machines (v0.4 default) and 5 read-only resources. Each machine accepts an action parameter that dispatche…
Graphonomous npm Publishing + Maintenance Runbook (Manual-First) — This runbook is the manual release path for publishing graphonomous without relying on long-lived CI publish credentials.
Graphonomous Quickstart — This guide gets you from zero to a working Graphonomous MCP runtime in minutes.
Graphonomous Technical Documentation — Project: graphonomous Scope: Architecture, runtime model, MCP interface, and operational workflow Version Context: Repository state as inspected in this session (March 2026)
Operations & Maintenance — This page is the operational runbook for running, validating, and maintaining Graphonomous in development and production-like environments.
Runtime Walkthrough — This page walks through the Graphonomous runtime from process startup to closed-loop learning, goal review, and maintenance.