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 AndrewNgo-ini · MCP Server · ★ 58
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🔒 Is memoose safe to install? View the security audit →
Memoose: A Dual-Path Memory System for Proactive Agents Contents What is Memoose Quick start Give your agent memory How Memoose works Usage: tools · skills · CLI Benchmarks Learn more: documentation · inspiration · contributing · license What is Memoose Memoose is a dual-path memory system for proactive agents. Memory survives the session and survives switching agents. It is found two ways: by search when the agent asks, and by recommendation when it does not. An engine keeps a typed knowledge graph on your machine; a harness of skills, hooks and tools teaches the model your host already runs how to use it. It is built for long-lived project work: decisions, conventions and ownership facts that must stay correct for months, each with an evidence pointer back to its source. Vision Memory is upkeep. Facts are written as they surface. sweeps the store into one worklist of things to judge and decides nothing itself; a model makes every call, on a small subagent that costs neither your attention nor the conversation's turns. Search and recommendation are the two ways anything gets found.
| Stars | 58 |
| Forks | 7 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 70.2861770522735/100 |
| Open Issues | 2 |
| Last Updated | 2026-10-02 |
| Created | 2026-09-06 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~16k |
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memoose is A dual-path memory system for proactive agents. Facts and procedures in a local knowledge graph, exposed as a CLI, MCP tools and skills. No API key.. It is categorized as a MCP Server with 58 GitHub stars.
memoose is primarily written in Python. It covers topics such as agents, claude-code, codex.
You can find installation instructions and usage details in the memoose GitHub repository at github.com/AndrewNgo-ini/memoose. The project has 58 stars and 7 forks, indicating an active community.
memoose is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to memoose on Agent Skills Hub include omega-memory, mem0-mcp-selfhosted, claude-memory-mcp. 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: