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persistent-ai-memory

A persistent local memory for AI, LLMs, or Copilot in VS Code.

  • 235 stars
  • 30 forks
  • 0 open issues
  • Language: Python
  • License: MIT
  • updated

Install

local · uvx (python)
Claude Code CLI
claude mcp add persistent-ai-memory -- uvx persistent-ai-memory
  1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
  2. Replace any <placeholder> values with your API keys or paths.
  3. Restart Claude. The MCP server and its tools appear automatically.

Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/savantskie/persistent-ai-memory and follow its README.

README

MCP Servers overview

README preview not available. Visit the repo on GitHub for full documentation.
Topics
ai-assistantembeddingsgithub-copilotlmstudiomcp-serverollamapersistent-memorysemantic-searchsqlite
Frequently asked

What people ask about persistent-ai-memory

What is savantskie/persistent-ai-memory?

savantskie/persistent-ai-memory is mcp servers for the Claude AI ecosystem. A persistent local memory for AI, LLMs, or Copilot in VS Code. It has 235 GitHub stars and its last recorded update is dated 2026-09-20.

How do I install persistent-ai-memory?

You can install persistent-ai-memory by cloning the repository (https://github.com/savantskie/persistent-ai-memory) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is savantskie/persistent-ai-memory safe to use?

Our security agent has analyzed savantskie/persistent-ai-memory and assigned a Trust Score of 97/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains savantskie/persistent-ai-memory?

savantskie/persistent-ai-memory is maintained by savantskie. The last recorded GitHub activity is dated 2026-09-20, with 0 open issues.

Are there alternatives to persistent-ai-memory?

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.