Ornn vs memory-cloud
Ornn: Ornn is an agent-facing skill lifecycle API — the npm registry and CLI fused into one, but for AI agent skills. Agents call Ornn directly over HTTP or MCP to search, pull, install, execute, build, upload, and share skills. It is model-agnostic, working with Claude, GPT, Gemini, or any custom runtime. Designed for agentic-system builders who want to manage reusable skills programmatically rather than hardcoding capabilities into each agent.; memory-cloud: Kagura Memory Cloud is a self-hosted MCP server that gives AI agents and teams adaptive memory. It combines hybrid search with a neural memory graph that learns which memories belong together, and works with Claude, ChatGPT, Gemini and any MCP-compatible client.
TL;DR
Building an agentic system where agents can discover and install new capabilities at runtime
Give AI agents memory that persists across conversations
Side-by-Side Comparison
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FAQ
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