OpenClaw 推出原生记忆插件，将三层记忆架构直接集成到代理的上下文流程中。

Memory for OpenClaw is now Native!

Our first OpenClaw Memory Skill was a massive success: 30k+ downloads in a week and 500k+ organic impressions overnight for launch post.

But we knew memory needed to be native.

On March 21, OpenClaw merged PR #50848, allowing us to go beyond the skill layer and integrate directly into the agent’s context assembly flow.

We try to make OpenClaw a truly 24/7 employee capable of complex workflows. The technical setup isn’t the hardest part but the real challenge is giving it a "brain" that remembers exact project details, past decisions, and team changes over time.

The Native Memory Plugin is now live on NPM & ClawHub. Here is what it brings to your OpenClaw agents:

👉 Native Integration: Automatically manages a Three-Layer Memory architecture (Context Tree, Workspace Memory, Daily Memory).

👉 Git-like Stateful Memory: Organizes memory into a semantic hierarchy of human-readable, diffable Markdown files. You always get updated knowledge and can actually see and fix what your agent learns.

👉 Top Market Accuracy: Achieves an industry-leading 92.2% retrieval accuracy (LoCoMo & LongMemEval benchmarks), maintaining 90% accuracy even with cheap, lightweight models.

👉 Local-first & Portable: Local-by-default, fully portable for multi-agent teams.

👉 Super Easy Setup