Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns.
{
"mcpServers": {
"agent-memory-techniques": {
"command": "node",
"args": ["/path/to/Agent_Memory_Techniques/dist/index.js"]
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows).<placeholder> values with your API keys or paths.Subagents overview
What people ask about Agent_Memory_Techniques
What is NirDiamant/Agent_Memory_Techniques?
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NirDiamant/Agent_Memory_Techniques is subagents for the Claude AI ecosystem. Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchmarks, and production patterns. It has 280 GitHub stars and was last updated 6d ago.
How do I install Agent_Memory_Techniques?
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You can install Agent_Memory_Techniques by cloning the repository (https://github.com/NirDiamant/Agent_Memory_Techniques) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is NirDiamant/Agent_Memory_Techniques safe to use?
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NirDiamant/Agent_Memory_Techniques has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains NirDiamant/Agent_Memory_Techniques?
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NirDiamant/Agent_Memory_Techniques is maintained by NirDiamant. The last recorded GitHub activity is from 6d ago, with 1 open issues.
Are there alternatives to Agent_Memory_Techniques?
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Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
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