XMem

by XortexAI · MCP Server · ★ 117

About XMem

Xmem is a India's First open source multi-modal, multi-agentic long‑term memory layer for AI agents.

agent-memoryai-agentschatgptclaudecursordeveloper-toolsgraph-ragllmlong-term-memorymcp

Quick Facts

Stars117
Forks31
LanguagePython
CategoryMCP Server
LicenseBSD-3-Clause
Quality Score36.25/100
Open Issues30
Last Updated2026-05-22
Created2026-02-12
Platformsclaude-code, mcp, python
Est. Tokens~962k

Compatible Skills

These tools work well together with XMem for enhanced workflows:

  • vektori — semantic(0.43)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
  • honcho — semantic(0.53)+complementary+rare_topics+same_lang+shared_platform (63%)
  • hipocampus — semantic(0.40)+complementary+rare_topics+similar_pop+shared_platform (58%)
  • emergent — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (58%)

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Frequently Asked Questions

What is XMem?

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 117 GitHub stars.

What programming language is XMem written in?

XMem is primarily written in Python. It covers topics such as agent-memory, ai-agents, chatgpt.

How do I install or use XMem?

You can find installation instructions and usage details in the XMem GitHub repository at github.com/XortexAI/XMem. The project has 117 stars and 31 forks, indicating an active community.

What license does XMem use?

XMem is released under the BSD-3-Clause license, making it free to use and modify according to the license terms.

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