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Human-approved project judgment and current state for connected AI agents, surfaced before work.
Human-approved project judgment and current state for connected AI agents, surfaced before work.
Valid MCP server (1 strong, 1 medium validity signals). 1 known CVE in dependencies ⚠️ Package registry links to a different repository than scanned source. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
8 files analyzed · 2 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Add this to your MCP configuration file:
{
"mcpServers": {
"ai-nauro-nauro": {
"args": [
"nauro"
],
"command": "uvx"
}
}
}From the project's GitHub README.
Give your agents the context code leaves out.
Nauro keeps current state, open questions, and human-approved project judgment in one record, ready for every agent you connect.
The record combines project scope, state, open questions, and the rationale behind decisions. Nauro surfaces the relevant slice before work, then carries approved judgment and reported progress into later sessions and connected tools.
Status: Stable (1.x). Semantic versioning covers the CLI, local stdio MCP contract, on-disk store format, and curated nauro-core import API. Cloud sync and hosted MCP are versioned separately.
https://github.com/user-attachments/assets/f75ede99-db11-4460-bc09-801c86df1e19
A real Codex session and then a Claude session in Pareto, a reproducible mock project.
uv tool install nauro
Install uv with curl -LsSf https://astral.sh/uv/install.sh | sh on macOS or Linux, or use the Windows instructions. With Python 3.10 or newer, pipx install nauro also works.
The local demo needs no account or agent setup:
mkdir -p /tmp/nauro-demo && cd /tmp/nauro-demo
nauro init --demo
nauro check-decision "Store dollar amounts as decimal numbers"
The top result is D001, Amounts stored in integer cents, never floating point. Its rationale explains why floating point makes money totals drift.
cd your-repo
nauro adopt --with-skills --with-subagents
Restart your agent, then invoke /nauro-adopt in Claude Code or $nauro-adopt in Codex. The skill reads project documentation and code, asks you about missing rationale, and seeds the project record without inventing decisions. The same onboarding command also installs the gated nauro-ship-task workflow and its planner, executor, reviewer, and tech-lead agents for both surfaces.
Run nauro status to verify MCP plus the installed skills and workflow agents. Run nauro doctor to check the project store itself. Re-running the onboarding command refreshes Nauro-owned workflow files and keeps recoverable backups of differing copies. It never migrates or changes third-party skills.
Nauro surfaces prior judgment for the agent to assess. Retrieval is advisory and never blocks a change. New or revised judgment is written only after your explicit approval. Local use needs no account. The local record is plain Markdown that you own. Cloud sync and remote MCP access are optional. Nauro sends no product analytics.
Adoption, setup, and incidental regeneration preserve an unmanaged AGENTS.md and warn. nauro sync is the sole explicit overwrite path. A # Manual section survives replacement.
If a small repo plus a reliable AGENTS.md or CLAUDE.md keeps agents oriented, Nauro may be more than you need.
Nauro is intended for longer-lived work where context can decay across sessions, tools, repositories, machines, or repeated handoffs.
Read the documentation for setup variants, concepts, command references, storage, and cloud access.
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.
Apache 2.0. Named for Peter Naur's Programming as Theory Building (1985).
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