caura-ai/caura vs doobidoo/mcp-memory-service
Based on the latest public GitHub metadata. No paid placement influences this comparison.
doobidoo/mcp-memory-service has the stronger current discovery signal, driven by the score components shown below.
caura-ai/caura is categorized as Agent Infrastructure; doobidoo/mcp-memory-service is categorized as Agent Infrastructure. Compare their product descriptions and source repositories before choosing.
| Signal | caura-ai/caura | doobidoo/mcp-memory-service |
|---|---|---|
| Radar Score | 75/100 | 76/100 |
| Adoption | 15/25 | 19/25 |
| Maintenance | 20/20 | 20/20 |
| Project quality | 20/20 | 17/20 |
| Agent relevance | 20/20 | 20/20 |
| Demand evidence | 0/10 | 0/10 |
| Observed momentum | 0/5 | 0/5 |
| GitHub stars | 486 | 1,926 |
| Category | Agent Infrastructure | Agent Infrastructure |
caura-ai/caura
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Full analysisdoobidoo/mcp-memory-service
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
Full analysisTransparent scoring
Adoption (25 points) uses stars and forks, maintenance (20) uses code activity, quality (20) checks license and metadata, relevance (20) checks agent focus, demand (10) uses open Issues, and momentum (5) uses star growth.