Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by wuisabel-gif · MCP Server · ★ 131
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is MemWhale safe to install? View the security audit →
MemoryWhale 🐬 Sibling project: Delphin — the duplex communication layer (talk to your agent while it thinks). MemoryWhale is the memory layer — see ECOSYSTEM.md.
| Stars | 131 |
| Forks | 30 |
| Language | Rust |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.6045378651611/100 |
| Open Issues | 25 |
| Last Updated | 2026-10-02 |
| Created | 2026-06-17 |
| Platforms | claude-code, cli, mcp, rust |
| Est. Tokens | ~24k |
These tools work well together with MemWhale for enhanced workflows:
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MemWhale is Persistent, local memory for developers and their coding agents. Records commands, output, errors, and the fixes that worked into SQLite and serves them over MCP.. It is categorized as a MCP Server with 131 GitHub stars.
MemWhale is primarily written in Rust. It covers topics such as agent-memory, ai-agents, claude-code.
You can find installation instructions and usage details in the MemWhale GitHub repository at github.com/wuisabel-gif/MemWhale. The project has 131 stars and 30 forks, indicating an active community.
MemWhale is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to MemWhale on Agent Skills Hub include Ori-Mnemos, vestige, roam-code. 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: