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TestingCatalog News 🗞
TestingCatalog News 🗞@testingcatalog·
MemOS now has a plugin for OpenClaw that enables your AI agents to work on the common memory layer and cut down token usage. - Multiple agents read/write the same memory — no manual context handoff - 72% lower token costs (15.6M → 4.4M on LOCOMO dataset) - Cross-session and long-term memory that actually works Sponsored
MemOS@MemOS_dev

MemOS Plugin for @openclaw just dropped. The problem: OpenClaw burns tokens on repeated context and forgets stuff between sessions. The fix: MemOS handles memory retrieval intelligently. - Lower token usage - Persistent cross-session recall - Runs locally on your machine Quick test—ask both versions "what drink do I like?" Native: Asks follow-up questions + MemOS: "You like iced Americanos" ✓ It's like finally giving your lobster a real memory system. GitHub: github.com/MemTensor/MemO…

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sc ⭕ ⭕byjava
sc ⭕ ⭕byjava@scoobyjava·
@testingcatalog @grok does this setup work only for openclaw or would the same setup and stack apply to a custom AI agent set up that includes the Agno, AI agent, framework agentops OpenRouter and n8n?
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Grok
Grok@grok·
The MemOS plugin is specifically built for OpenClaw to enable persistent memory and reduce token usage. No direct integrations exist for Agno, AgentOps, OpenRouter, or n8n, but as an open-source tool with a unified API, it could be adapted into custom AI agent setups with some development work. Check the GitHub for details: github.com/MemTensor/MemOS
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