What breaks without openclaw memory plugin
No context between sessions. Users repeat preferences every time. Agent pipelines with no history.
→
Persistent agent memory × Supermemory's managed vector storage ÷ 15-minute setup ÷ no self-hosted database = bots that remember everything.
Security check — openclaw memory plugin
Privacy score: 7/10 — accesses connected platform APIs only.
Lock it: review OAuth scopes before install, confirm Linux, macOS, Windows; OpenClaw ≥1.2; outbound HTTPS to api.supermemory.ai compatibility.
Quick start — openclaw memory plugin in 15–25 minutes
Setup time: 15–25 minutes
!
You need:
- OpenClaw core
- Supermemory API key (supermemory.ai)
- Node.js ≥18
Install the package:
npm install @supermemoryai/openclaw-supermemory
1
Sign up at supermemory.ai and obtain an API key
3
Set SUPERMEMORY_API_KEY in .env
4
Add plugin to openclaw.config.js
5
Use ctx.memory.add(userId, content) to store facts
6
Use ctx.memory.search(userId, query) to retrieve context
7
Pass retrieved context into your LLM prompt
Compatibility & status
Works with: Linux, macOS, Windows; OpenClaw ≥1.2; outbound HTTPS to api.supermemory.ai
intermediate
Last updated: Oct 2025
★ 340 on GitHub
MIT
Official docs →
View on GitHub →
FAQ — openclaw memory plugin
Does Supermemory require a paid plan?
A free tier with storage limits is available. For production with many users, a paid plan is recommended.
Can I self-host the memory backend?
Supermemory is a managed service only. For self-hosted alternatives, use Chroma or Weaviate.
How does semantic search work in practice?
ctx.memory.search() embeds your query and finds top-K semantically similar stored memories to pass as LLM context.