AI Infrastructure · PyPI

supermemory-agent-mcp

SuperMemory: MCP-first learning memory layer for Claude, Cursor, and agent workflows

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Details

Author
Yashvant Hange
GitHub profile
@YashvantHange
Category
AI Infrastructure
Platform
PyPI
GitHub
https://github.com/YashvantHange/SuperMemory
Framework
unknown
Language
python
Stars
0
First indexed
2026-06-14
Last active
—
Directory sync
2026-06-14
@YashvantHange

Overview

SuperMemory: MCP-first learning memory layer for Claude, Cursor, and agent workflows

Quick start

pip

pip install supermemory-agent-mcp

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What supermemory-agent-mcp can do

agentworkflowagent-memory
  • Agent — Plans, decides, and executes multi-step tasks autonomously.
  • Workflow — Coordinates multi-step business processes.
  • Agent Memory — agent-memory task automation.

Frequently asked questions

What is supermemory-agent-mcp?
SuperMemory: MCP-first learning memory layer for Claude, Cursor, and agent workflows
How do I install supermemory-agent-mcp?
Use pip: `pip install supermemory-agent-mcp`. Full setup details on the source page linked above.
Is supermemory-agent-mcp open source?
supermemory-agent-mcp is published on PyPI.
What are alternatives to supermemory-agent-mcp?
Comparable agents include awesome, openclaw, superpowers. Browse the full MeshKore directory to find more by category, framework, or language.

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Profile data for supermemory-agent-mcp is sourced from PyPI, published by Yashvant Hange.

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