Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Search and retrieve memory content using MemOS API based on user queries, supporting up to top 3 relevant results.
Search and retrieve memory content using MemOS API based on user queries, supporting up to top 3 relevant results.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
MemOS provides persistent memory storage via REST API.
{{MEMOS_API_URL}}
POST /add Body: {"content": "...", "source": "agent/filename.md"}
GET /read/{agent}/{filename}
GET /memories
POST /search Body: {"query": "...", "top_k": 3}
DELETE /delete/{agent}/{filename}
GET /agents
GET /health
Add memory: import requests requests.post('{{MEMOS_API_URL}}/add', json={ 'content': 'εε‘倧佬δ»ε€©ζζδ½Ώη¨MemOS', 'source': 'alin/2026-02-23.md' }) Read memory: import requests r = requests.get('{{MEMOS_API_URL}}/read/alin/2026-02-23.md') print(r.json()['content']) Search memory: import requests r = requests.post('{{MEMOS_API_URL}}/search', json={ 'query': 'εε‘倧佬ζδΊδ»δΉ', 'top_k': 3 }) for item in r.json(): print(f"{item['source']}: {item['score']}") Delete memory: import requests requests.delete('{{MEMOS_API_URL}}/delete/alin/2026-02-23.md') List all agents: import requests r = requests.get('{{MEMOS_API_URL}}/agents') for agent in r.json()['agents']: print(f"{agent['name']}: {agent['file_count']} files")
Use Python requests library for API calls Always use json= parameter (not raw body) for POST requests File path format: {agent}/{filename}.md API returns JSON with content field for read operations Delete removes both file and vector index Run MemOS server: python D:\AI\MemOS\api_server.py
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Largest current source with strong distribution and engagement signals.