No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by caura-ai · MCP Server · ★ 433
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🔒 Is caura safe to install? View the security audit →
Fleet memory for AI agents — governed, shared, self-improving. MemClaw is becoming Caura — same product, one name. Tool names (memclaw), packages, env vars and URLs keep working unchanged. Quick Start · Features · Performance · MCP · API Reference · Plugin Docs ·
| Stars | 433 |
| Forks | 52 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67.2033700345256/100 |
| Open Issues | 53 |
| Last Updated | 2026-08-19 |
| Created | 2026-04-27 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~25k |
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caura is 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. A. It is categorized as a MCP Server with 433 GitHub stars.
caura is primarily written in Python. It covers topics such as agent-memory, agentic-ai, ai-agents.
You can find installation instructions and usage details in the caura GitHub repository at github.com/caura-ai/caura. The project has 433 stars and 52 forks, indicating an active community.
caura is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to caura on Agent Skills Hub include mcp-memory-service, YourMemory, mengram. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.