No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by roampal-ai · MCP Server · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is roampal-core safe to install? View the security audit →
Roampal — Outcome-Based Persistent Memory MCP Server Two commands. Your AI coding assistant gets outcome-based memory. Works with <
| Stars | 50 |
| Forks | 6 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 74.8624231166987/100 |
| Last Updated | 2026-08-27 |
| Created | 2025-12-15 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~16k |
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roampal-core is Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demoted. pip install roampal.. It is categorized as a MCP Server with 50 GitHub stars.
roampal-core is primarily written in Python. It covers topics such as agent-memory, ai-assistant, ai-coding.
You can find installation instructions and usage details in the roampal-core GitHub repository at github.com/roampal-ai/roampal-core. The project has 50 stars and 6 forks, indicating an active community.
roampal-core is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to roampal-core on Agent Skills Hub include claude-mem-lite, omega-memory, task-orchestrator. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: