ALMA-memory

by RBKunnela · MCP Server · ★ 43

About ALMA-memory

Persistent memory for AI agents - Learn, remember, improve. Alternative to Mem0 with scoped learning, anti-patterns, multi-agent sharing, and MCP integration.

agent-memoryai-agentsai-memoryanthropicclaudelangchainllmmachine-learningmcpmem0-alternative

Quick Facts

Stars43
Forks16
LanguagePython
CategoryMCP Server
Quality Score32.25/100
Last Updated2026-05-14
Created2026-01-23
Platformsclaude-code, mcp, python
Est. Tokens~563k

Compatible Skills

These tools work well together with ALMA-memory for enhanced workflows:

  • honcho — semantic(0.48)+complementary+rare_topics+same_lang+shared_platform (65%)
  • codemem — semantic(0.37)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • openclaw-config — semantic(0.25)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular Python Agent Tools

Frequently Asked Questions

What is ALMA-memory?

ALMA-memory is Persistent memory for AI agents - Learn, remember, improve. Alternative to Mem0 with scoped learning, anti-patterns, multi-agent sharing, and MCP integration.. It is categorized as a MCP Server with 43 GitHub stars.

What programming language is ALMA-memory written in?

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

How do I install or use ALMA-memory?

You can find installation instructions and usage details in the ALMA-memory GitHub repository at github.com/RBKunnela/ALMA-memory. The project has 43 stars and 16 forks, indicating an active community.

View on GitHub → Browse MCP Server tools