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 · ★ 430
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is caura-memclaw safe to install? View the security audit →
Fleet memory for AI agents — governed, shared, self-improving. Quick Start · Features · Performance · MCP · API Reference · Plugin Docs · Contributing · Discord MemClaw — Flee
| Stars | 430 |
| Forks | 51 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 69.523190929399/100 |
| Open Issues | 42 |
| Last Updated | 2026-08-12 |
| Created | 2026-04-27 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~25k |
These tools work well together with caura-memclaw for enhanced workflows:
Looking for a caura-memclaw alternative? If you're comparing caura-memclaw with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowl
Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.
Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn fro
Stop re-explaining yourself to AI. MARM offers persistent memory, cross-agent context sharing, write queues, s
Local, LLM-free memory for AI agents. A single offline Rust binary — deterministic and auditable — that learns
Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253
Explore other popular mcp server tools:
caura-memclaw 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 430 GitHub stars.
caura-memclaw 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-memclaw GitHub repository at github.com/caura-ai/caura-memclaw. The project has 430 stars and 51 forks, indicating an active community.
caura-memclaw 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-memclaw 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.