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 codecoradev · MCP Server · ★ 263
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is uteke safe to install? View the security audit →
Uteke Give your AI a memory that never leaves your machine. Your AI forgets everything between sessions. Uteke fixes that — one binary, fully offline, 45ms recall. <img src="https://img.shields.io/badge/recall-45ms-brightgreen.svg?style=flat-square" alt
| Stars | 263 |
| Forks | 31 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.4264290736013/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-23 |
| Created | 2026-05-29 |
| Platforms | cli, mcp, rust |
| Est. Tokens | ~26k |
These tools work well together with uteke for enhanced workflows:
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uteke is 🧠 The Brain for Your AI — Local-first memory engine for AI agents. Store, recall, and search memories with semantic embeddings. Single Rust binary, zero config, fully offline.. It is categorized as a MCP Server with 263 GitHub stars.
uteke is primarily written in Rust. It covers topics such as agent-memory, ai, ai-agents.
You can find installation instructions and usage details in the uteke GitHub repository at github.com/codecoradev/uteke. The project has 263 stars and 31 forks, indicating an active community.
uteke is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to uteke on Agent Skills Hub include yantrikdb-server, mychatarchive, yantrikdb. 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: