agentcairn — security grade UNSAFE, quality 68/100

Security audit verdict: UNSAFE · quality 68/100

Flagged: reads agent memory, installs a cron job. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by ccf · MCP Server · ★ 60

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is agentcairn safe to install? View the security audit →

About agentcairn

One durable memory across supported coding agents. Your Markdown vault is canonical. DuckDB is the replaceable retrieval cache. Website · PyPI · Obsidian companion · Benchmarks A cairn marks a trail for whoever comes next. agentcairn does that for coding agents: it captures durable context from the tool

agentmemoryaiai-agentsclaudeclaude-codecodexcursorduckdbharnesshermes

Quick Facts

Stars60
Forks3
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score67.6903193897226/100
Open Issues6
Last Updated2026-09-28
Created2026-06-08
Platformsclaude-code, codex, mcp, python
Est. Tokens~17k

agentcairn alternative? Top 6 similar tools

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Frequently Asked Questions

What is agentcairn?

agentcairn is Long-term, cross-project memory for AI coding agents. Your own Obsidian vault as the source of truth. Daemonless and without opaque databases, your memory belongs to you.. It is categorized as a MCP Server with 60 GitHub stars.

What programming language is agentcairn written in?

agentcairn is primarily written in Python. It covers topics such as agentmemory, ai, ai-agents.

How do I install or use agentcairn?

You can find installation instructions and usage details in the agentcairn GitHub repository at github.com/ccf/agentcairn. The project has 60 stars and 3 forks, indicating an active community.

What license does agentcairn use?

agentcairn is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to agentcairn?

The top alternatives to agentcairn on Agent Skills Hub include deepcontext-mcp, maestro, omega-memory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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