Comparison
MemoClaw vs Pinecone
Pinecone is a managed vector database for building search and RAG applications. Compare their general-purpose vector DB against MemoClaw's purpose-built memory API for AI agents.
Feature Comparison
| Feature | MemoClaw | Pinecone |
|---|---|---|
| Setup | ||
| Signup required | ✗ | ✓ |
| API keys required | ✗ | ✓ |
| Architecture | ||
| Purpose-built for memory | ✓ | ✗ |
| General vector database | ✗ | ✓ |
| Features | ||
| Manages embeddings for you | ✓ | ✗ |
| Semantic search | ✓ | ✓ |
| Importance scoring | ✓ | ✗ |
| Immutable memories | ✓ | ✗ |
| Namespace isolation | ✓ | ✓ |
| Metadata filtering | ✓ | ✓ |
| RAG pipelines | ✗ | ✓ |
| Deployment | ||
| Serverless scaling | ✓ | ✓ |
| Integrations | ||
| MCP server | ✓ | ✗ |
| CLI tool | ✓ | ✗ |
| OpenClaw skill | ✓ | ✗ |
| Payments | ||
| Crypto payments (x402) | ✓ | ✗ |
Pricing
MemoClaw
$0.005/call (store, recall, update). Free tier: 100 calls. No subscription.
Pinecone
Free tier (limited) + Starter ($70/mo) + Enterprise. Storage + query based.
Why choose MemoClaw over Pinecone?
- →Memory API, not a database — no embeddings to manage
- →One API call to store, one to recall
- →No signup, no API keys — wallet is your identity
- →Built for AI agents, not general vector search
- →Pay-per-call, no monthly storage fees
The Verdict
Pinecone is a vector database — you build memory on top of it. MemoClaw IS the memory layer. If you want to manage embeddings, indexes, and retrieval logic yourself, use Pinecone. If you want to say "store this" and "recall that", use MemoClaw.
Ready to try MemoClaw?
100 free calls. No signup. No API keys.