Awareness-Local: Local-first AI agent memory — one command, works offline, no account needed

by edwin-hao-ai · MCP Server · ★ 199

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

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-agentai-memoryclaude-codecursorllmlocal-firstmarkdownmcpofflineopenclaw

Quick Facts

Stars199
Forks4
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score66/100
Open Issues3
Last Updated2026-05-04
Created2026-03-22
Platformsbrowser, claude-code, mcp, node
Est. Tokens~1174k

About Awareness-Local

Awareness Local Languages: English | 简体中文 Give your AI agent persistent memory. One co

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    Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video

  • Kwipu by benmaster82 · ⭐ 610

    Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, work

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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