Decision system for software built with AI
- ✓Open-source license (Apache-2.0)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add nauro -- uvx nauro{
"mcpServers": {
"nauro": {
"command": "uvx",
"args": ["nauro"]
}
}
}Resumen de MCP Servers
<p align="center"> <img src="docs/images/nauro-wordmark-dark.svg" alt="Nauro" width="180"> </p> <p align="center"><strong>Decision system for software built with AI</strong></p> <p align="center"> <a href="https://pypi.org/project/nauro/"><img alt="PyPI" src="https://img.shields.io/pypi/v/nauro.svg"></a> <a href="https://github.com/Nauro-AI/nauro/actions/workflows/ci.yml"><img alt="CI" src="https://github.com/Nauro-AI/nauro/actions/workflows/ci.yml/badge.svg?branch=main"></a> <a href="LICENSE"><img alt="License" src="https://img.shields.io/badge/license-Apache%202.0-blue.svg"></a> </p> Keep your project's direction in human hands as agents do more of the work. Nauro records the project decisions you approve, including their reasons and rejected alternatives. It brings those reasons into later agent sessions. **Status:** Stable (1.x). ## See it in practice https://github.com/user-attachments/assets/f75ede99-db11-4460-bc09-801c86df1e19 *A Codex session, then a Claude session in Pareto, Nauro's development mock project.* ## Is Nauro a fit? Nauro supports longer-lived work across sessions, tools, and handoffs. If a small repo plus a reliable AGENTS.md or CLAUDE.md keeps agents oriented, Nauro may be more than you need. Retrieval is advisory. New or revised decisions require your explicit approval. Local use needs no account; the record is plain Markdown on your machine. Cloud sync is optional. Nauro sends no product analytics. ## Get started ### Desktop app (macOS) The free app installs the CLI, connects agents, and sets up a project. Its read-only viewer shows the project record. [Download for macOS (Apple silicon)](https://github.com/Nauro-AI/nauro-app-releases/releases/latest/download/Nauro-macOS-arm64.dmg), signed and notarized. [Setup guide](https://nauro.ai/docs/desktop-app). <details> <summary>Watch the desktop app tour</summary> https://github.com/user-attachments/assets/e23d3d7f-2d5b-4ce4-be18-fcaff74e7973 </details> ### CLI ```bash uv tool install nauro ``` [Install uv](https://docs.astral.sh/uv/getting-started/installation/), or use `pipx install nauro` with Python 3.10 or newer. ## Try the demo (optional) Pennykeep is the bundled fictional budgeting app. - **Request:** Replace envelope budgeting with spending charts to simplify onboarding. - **Prior decision:** In the fictional tester history, passive tracking did not help users control spending. The team accepted extra setup so users assign income before spending. - **Possible plan:** Simplify envelope setup, or ask whether to revisit the budgeting model. No account or agent setup required. On macOS or Linux: ```bash mkdir -p /tmp/nauro-demo && cd /tmp/nauro-demo nauro init --demo nauro check-decision "Replace envelope budgeting with a passive spending tracker and charts" ``` Look for **Envelope budgeting method** in the related decisions. This retrieves prior reasoning; it does not run an agent or change decisions. [PowerShell and demo guide](https://nauro.ai/docs/quickstart#demo). ## Use it on your repo For CLI setup: ```bash cd your-repo nauro adopt --with-skills --with-subagents ``` Skip this command if the desktop wizard already adopted your repository. Restart your agent, then run `/nauro-adopt` in Claude Code, `$nauro-adopt` in Codex, or `@nauro-adopt` in Cursor. Review the proposed project record. Approve one existing decision you want future sessions to remember. Start a fresh session and ask about a task where it matters. Check how the agent uses the reason. Run `nauro status` to check the connection. See [agent workflows](https://nauro.ai/docs/agents-and-skills) and [setup details](https://nauro.ai/docs/quickstart). The bundled `nauro-investigator` studies Claude and Codex logs for supported findings about Nauro use and development work. See the [investigator guide](docs/investigator.md) for a bounded first run and a research notebook that later runs can resume. An existing `AGENTS.md` is preserved unless you run `nauro sync`. Its `# Manual` section survives replacement. ## Documentation [Documentation](https://nauro.ai/docs) covers commands, storage, and cloud access. Semantic versioning covers the CLI, local stdio MCP contract, store format, and curated `nauro-core` API. Cloud sync and hosted MCP are versioned separately. ## Development ```bash uv sync --all-packages --all-extras uv run pytest packages/nauro-core/tests/ -x -q uv run pytest packages/nauro/tests/ -x -q ``` Report bugs and request features in [GitHub Issues](https://github.com/Nauro-AI/nauro/issues). Apache 2.0. Named for Peter Naur's *Programming as Theory Building* (1985).
Lo que la gente pregunta sobre nauro
¿Qué es Nauro-AI/nauro?
+
Nauro-AI/nauro es mcp servers para el ecosistema de Claude AI. Decision system for software built with AI Tiene 10 estrellas en GitHub y su última actualización registrada es del 2026-10-02.
¿Cómo se instala nauro?
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Puedes instalar nauro clonando el repositorio (https://github.com/Nauro-AI/nauro) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar Nauro-AI/nauro?
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Nuestro agente de seguridad ha analizado Nauro-AI/nauro y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene Nauro-AI/nauro?
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Nauro-AI/nauro es mantenido por Nauro-AI. La última actividad registrada en GitHub es del 2026-10-02, con 1 issues abiertos.
¿Hay alternativas a nauro?
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Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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