memora

by agentic-box · MCP Server · ★ 347

About memora

Give your AI agents persistent memory.

ai-agentclaudeknowledge-graphllmsmcpmcp-servermemoryragsemantic-searchsemantic-search-algorithm

Quick Facts

Stars347
Forks40
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score30.75/100
Open Issues4
Last Updated2026-03-27
Created2025-09-19
Platformsclaude-code, mcp, python
Est. Tokens~6609k

Compatible Skills

These tools work well together with memora for enhanced workflows:

  • Flamehaven-Filesearch — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (55%)
  • memsearch — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (54%)
  • agent-second-brain — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • SirChatalot — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • bondai — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions

What is memora?

memora is Give your AI agents persistent memory.. It is categorized as a MCP Server with 347 GitHub stars.

What programming language is memora written in?

memora is primarily written in Python. It covers topics such as ai-agent, claude, knowledge-graph.

How do I install or use memora?

You can find installation instructions and usage details in the memora GitHub repository at github.com/agentic-box/memora. The project has 347 stars and 40 forks, indicating an active community.

What license does memora use?

memora is released under the MIT license, making it free to use and modify according to the license terms.

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