MemOS skills
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings. 4 skills. skills-hub.ai mirrors 4 skills from MemOS daily, every skill links back to its upstream GitHub source. Install with one command across Claude Code, Cursor, Codex, Windsurf, and any MCP-compatible tool.
Upstream: github.com/MemTensor/MemOS
Installing a MemOS skill
Pick a skill below, then run the install command for your AI coding tool. The skills-hub CLI writes the SKILL.md to the right directory and tracks the install in .skills.json so your team gets reproducible installs.
# Install a MemOS skill
npx @skills-hub-ai/cli install <skill-slug>
# Browse all MemOS skills via API
curl https://skills-hub.ai/api/v1/skills?source=memos
# Browse all sources
open https://skills-hub.ai/sourcesTop MemOS skills
See all →The most-installed skills from MemOS, ranked by adoption.
01memos-local
Persistent local memory for OpenClaw agents. Use when users say: - "install memos" - "install MemOS" - "setup memory" - "add memory plugin" - "openclaw memory" - "memos onboarding" - "memory not working" - "configure memory" - "enable memory" - "upgrade MemOS" - "update memory plugin"
Buildfrom MemOS02browserwing-executor
Control browser automation through HTTP API. Supports page navigation, element interaction (click, type, select), data extraction, accessibility snapshot analysis, screenshot, JavaScript execution, and batch operations.
Buildfrom MemOS03browserwing-admin
Manage and operate BrowserWing — an intelligent browser automation platform. Install dependencies, configure LLM, create/manage/execute automation scripts, use AI-driven exploration to generate scripts, browse the script marketplace, and troubleshoot issues.
Buildfrom MemOS04memos-memory-guide
Use the MemOS Local memory system to search and use the user's past conversations. Use this skill whenever the user refers to past chats, their own preferences or history, or when you need to answer from prior context. When auto-recall returns nothing (long or unclear user query), generate your own short search query and call memory_search. Available tools: memory_search, memory_get, memory_write_public, memory_share, memory_unshare, task_summary, skill_get, skill_search, skill_install, skill_publish, skill_unpublish, network_memory_detail, network_skill_pull, network_team_info, memory_timeline, memory_viewer.
Buildfrom MemOS
About this source
skills-hub.ai mirrors skills from 90+ official GitHub repositories every day. Each imported skill is parsed from a SKILL.md file in the source repo, gets a security scan and quality score on import, and links back to its upstream source of truth.
Last sync: Aug 18, 2026, 5:28 PM (success).
MemOS skills, frequently asked
What are MemOS skills?
MemOS skills are AI coding skills published by MemOS (Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings. 4 skills.) and mirrored daily on skills-hub.ai. They are SKILL.md files that follow the open Agent Skills standard, so they work in Claude Code, Cursor, Codex CLI, Windsurf, Copilot, and any MCP-compatible tool.
How many MemOS skills are available?
skills-hub.ai indexes 4 skills from MemOS, synced daily from the upstream GitHub repository (https://github.com/MemTensor/MemOS).
How do I install a MemOS skill?
Run `npx @skills-hub-ai/cli install <skill-slug>` in your project. The CLI writes the SKILL.md to the right directory for your AI tool and adds it to your `.skills.json` lockfile so your team gets the same skills at the same versions.
Are these official MemOS skills?
Yes. Every skill from this source is mirrored from MemOS's own GitHub repository (https://github.com/MemTensor/MemOS). Each skill page links back to the upstream source of truth, so you can verify the original.