MemOS OpenClaw Plugin to cut agent memory costs by 70%

MemOS has shipped its OpenClaw Plugin, and it is now live as a drop-in memory layer for teams building with OpenClaw. The promise is blunt: keep long-term context without blowing up token bills, while keeping agent personalization consistent across longer projects.

According to MemOS benchmarks, the plugin can cut token usage by roughly 60 to 70 percent versus native OpenClaw memory flows, by shifting what gets stored and recalled into a dedicated memory layer instead of repeatedly reloading huge context windows. That matters most when agents run daily, handle multi-step tasks, or sit inside paid products where every extra token is a real cost.

Multi-agent collaboration is having a moment. Whether it's AutoGen, CrewAI, or the recently viral OpenClaw, everyone's exploring how to get multiple agents working together. But there's a catch: each agent carries its own isolated "brain," with no idea what the others are doing. The result? Duplicated work, mismatched context, and information handoff via manual copy-paste.

MemOS Plugin addresses exactly this. It enables multiple OpenClaw agents to share the same memory pool, instead of each agent maintaining isolated memory, the entire team writes to and reads from a unified space. What Agent A produces, Agent B can directly access, without you shuttling information back and forth. This ensures that collaboration does not collapse into duplicated work or mismatched context.

The intended audience is clear: B2B agent builders, dev-tools teams, internal copilots, and anyone shipping agent workflows where memory becomes the bottleneck for cost and consistency.

Availability is straightforward: the plugin is distributed via GitHub and is meant to plug into OpenClaw wherever you run it. This lands as memory tooling becomes a battleground for agent stacks, alongside products like mem0, supermemory, and memU, with MemOS pushing the angle that memory should be treated as its own OS layer rather than a bolt-on prompt trick.

MemOS is the project behind the plugin, positioned as a “memory OS” for AI apps and agents, with its own site, dashboard, and a broader open source footprint under the MemTensor org. This plugin is the latest move in that direction: push memory into a reusable layer that can be shared, persisted, and reused across agents and sessions, so long-running workflows do not keep paying the same context tax over and over.