by XortexAI · MCP Server · ★ 228
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Featured in: Agent Memory
XMem The Memory Layer for AI That Never Forgets Give every AI agent and LLM interface persistent, cross-platform memory out of the box. English • 简体中文 • 日本語 • हिन्दी Demo • Features • Architecture • Benchmarks •&nb
| Stars | 228 |
| Forks | 54 |
| Language | Python |
| Category | MCP Server |
| License | BSD-3-Clause |
| Quality Score | 63.4725884930421/100 |
| Open Issues | 32 |
| Last Updated | 2026-06-03 |
| Created | 2026-02-12 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~1005k |
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XMem is Xmem is a India's First open source multi-modal, multi-agentic long‑term memory layer for AI agents.. It is categorized as a MCP Server with 228 GitHub stars.
XMem is primarily written in Python. It covers topics such as agent-memory, ai-agents, chatgpt.
You can find installation instructions and usage details in the XMem GitHub repository at github.com/XortexAI/XMem. The project has 228 stars and 54 forks, indicating an active community.
XMem is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.
The top alternatives to XMem on Agent Skills Hub include atlassian-mcp-server, atomicmemory, mira-OSS. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.