What is the MemOS Cloud OpenClaw plugin?

An official plugin by MemTensor that gives OpenClaw agents persistent long-term memory, recalling context before each run and saving conversations after.

How much does MemOS reduce token costs?

70% reduction on the LOCOMO benchmark — from 15.6M tokens to 4.4M tokens — while improving memory precision from 23.73% to 31.68%.

Does MemOS support multi-agent setups?

Yes, it supports multi-agent memory sharing via unified user_id with agent_id isolation.

What LLM providers does MemOS support?

OpenAI, Azure, Qwen, DeepSeek, MiniMax, Ollama, HuggingFace, and vLLM.

When was MemOS Cloud plugin launched?

March 8, 2026. Both cloud and local (SQLite + FTS5 hybrid search) variants are available.

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MemOS Cloud plugin cuts OpenClaw token costs 70% with persistent long-term memory

MemTensor's official plugin recalls context before each agent run and saves conversations after. Drops token usage from 15.6M to 4.4M (70% reduction) on LOCOMO benchmark while improving memory precision from 23.73% to 31.68%.

Product Idea from this Signal

A memory system that gives OpenClaw agents persistent recall that survives session crashes and context window degradation

49.8k ▲

OpenClaw agents lose their entire conversation history between sessions even when the files exist on disk. Silent daily session resets wipe agent memory without warning. Meanwhile, every frontier LLM degrades past 50K tokens (proven by Chroma across 18 models), meaning even within a session, agents progressively forget earlier context. ByteDance's OpenViking (19K stars in two weeks) proves massive demand for agent memory infrastructure. This tool gives OpenClaw agents a persistent, queryable memory layer that survives crashes, session boundaries, and context window limits by storing structured knowledge externally and injecting only relevant memories per turn.

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