nautilus-compass
Open memory & reliability layer for AI agents + independent judging/verification (NACRE judge, caliber-bench meta-benchmark, preregistered criteria) — by Nautilus Platform
No outside reports on file
Nautilus Compass adds useful verification tools but requires careful permission scoping and monitoring since it stores agent memory and makes verification decisions that affect system behavior.
Based on public adoption and transparency signals as of Oct 25, 2026. Our opinion, not a code audit or security guarantee.
What it can access
- Local filesNo local folder access notedLOW
- Command executionNo shell command runner notedLOW
- Network reachLocal or standard API callsLOW
- CredentialsNo API token requiredLOW
- Package sourceGitHub (chunxiaoxx/nautilus-compass)PUBLIC
Inferred from this listing’s public package details and description. Check the project’s source before installing.
Install
No npm or PyPI package is listed. Install from source: github.com/chunxiaoxx/nautilus-compass ↗
Everything known
We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.
0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30
Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-25.
Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.
About Nautilus Compass
Nautilus Compass is a memory and reliability layer designed for AI agents. It includes independent verification tools (called a NACRE judge) and benchmarking systems to help check if AI agent outputs are trustworthy and consistent.
Who it’s for
Developers building AI agents who want to add safety checks and memory persistence. Teams that need to verify their AI system outputs are reliable and accurate.
Alternatives
- Anthropic's native tool-use verification — Claude's built-in safeguards for agent outputs. - LangChain evaluators — Open-source evaluation frameworks for agent reliability. - Guardrails AI — Structured output validation and fact-checking for language models. - Pydantic validators — Code-based verification layer for agent responses.
Setup
Check these steps against the project’s own instructions before running anything.
Follow the project's README for installation and configuration instructions specific to your setup.
Why this grade
Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.
Popularity and upkeep
- GitHub stars
- 1.3k
- Listing last refreshed
- 2026-10-29
These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.
Risks to watch for
- Code execution risk: Like all MCP servers, this runs code on your machine that could access files, environment variables, or network connections if misconfigured. - Verification bypass: The 'judging' layer is only as good as its rules; if rules are poorly written, bad outputs might still pass. - Data leakage in memory: A persistent memory layer could accidentally store and expose sensitive information from past agent runs. - Untrusted benchmarks: The caliber-bench meta-benchmark relies on external data sources that might be manipulated or outdated. - Supply chain dependency: Depends on upstream packages that could be compromised.
How to lower the risk
Least-privilege permissions
- Run the MCP server in a sandboxed user account with minimal file system access.
- Only grant it read/write access to specific memory storage directories it needs.
Network isolation
- Restrict outbound network access unless it explicitly needs to fetch benchmark data.
- Block unexpected connections to unknown domains.
Monitoring
- Log all verification decisions (pass/fail) and review them regularly.
- Alert on suspicious patterns like repeated verification failures or memory corruption.
Red flags to watch for
- Verification rules that are too permissive or contradict your safety policies.
- Memory stores growing unusually large or containing unexpected data types.
- Benchmark scores that don't match your manual testing results.
Questions
How do I install Nautilus Compass?
Nautilus Compass does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/chunxiaoxx/nautilus-compass.
Are there security reports about Nautilus Compass?
No reports found for this package in our research (last checked 2026-10-30). Nautilus Compass currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include code execution risk.
Is Nautilus Compass actively maintained?
Nautilus Compass has 1.3k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/chunxiaoxx/nautilus-compass before pinning it in production.
What are alternatives to Nautilus Compass?
Notable alternatives to Nautilus Compass include Anthropic's native tool-use verification (Claude's built-in review for agent outputs. - **LangChain evaluators** — Open-source evaluation frameworks for agent reliability. - **Guardrails AI** — Structured output validation and fact-checking for language models. - **Pydantic validators** — Code-based verification layer for agent responses). You can also compare Nautilus Compass side by side with other MCP servers in the Related tools section on this page.
README badge and team notes
Maintain or use Nautilus Compass? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.
GitHub README Markdown:
[](https://agentarmorhq.com/skills/chunxiaoxx-nautilus-compass)HTML embed:
<a href="https://agentarmorhq.com/skills/chunxiaoxx-nautilus-compass"><img src="https://agentarmorhq.com/api/badge/chunxiaoxx-nautilus-compass" alt="AgentArmorHQ Risk Grade for Nautilus Compass" height="20" /></a>Terminal check:
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "chunxiaoxx-nautilus-compass"Share with your security lead
Need sign-off to use nautilus-compass? Copy this note for Slack, a ticket or a pull request.
### AgentArmorHQ Security Review Memo: nautilus-compass
- **Listing URL:** https://agentarmorhq.com/skills/chunxiaoxx-nautilus-compass
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.3k GitHub stars
#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** GitHub (chunxiaoxx/nautilus-compass)
#### Recommended Hardened Setup
- **Source Repo:** https://github.com/chunxiaoxx/nautilus-compass
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.
_Based on public adoption and transparency signals as of Oct 25, 2026. Our opinion, not a code audit or security guarantee._Key facts
- Type
- App connector
- Publisher
- chunxiaoxx
- Source code
- github.com/chunxiaoxx/nautilus-compass
- Est. context load
- ~900 tokens / turn (~5 tool schemas, 0.45% of 200k context)
- Popularity
- 1.3k GitHub stars
- Last updated
- 2026-10-29
- Last graded
- 2026-10-25
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