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irisxc4/memoryguard

by Various

Local-first MCP memory governance for coding agents — Codex, Claude Code, Cursor, Grok, and Trae. Shared rules, deduplication, token insights, audit, and rollback.

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MCP

irisxc4/memoryguard

Added 8 Sept 2026

#agent-memory#ai-agents#ai-governance#ai-memory#claude-code#codex#coding-agents#cursor
Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

Local-first MCP memory governance for coding agents including Codex, Claude Code, Cursor, Grok, and Trae. It provides shared rules, deduplication, token insights, audit, and rollback for agent memory. Built in Python and runs locally.

Best for

Best for
Developers using multiple AI coding agents who want local memory governance with audit and rollback

Use cases

  • Centralize shared memory rules across multiple coding agents
  • Deduplicate redundant memory entries to reduce token usage
  • Audit and rollback memory changes for debugging or recovery

How to use

Install

python -m pip install agent-memguard

Tools exposed

  • mcp-status
  • memoryguard_context_bootstrap
  • memoryguard_memory_search
  • memoryguard_memory_read
  • memoryguard_memory_write
  • memoryguard_memory_update
  • memoryguard_memory_delete
  • memoryguard_memory_status
  • memoryguard_audit
  • memoryguard_explain

Clients listed in this record (not verified here)

Claude Code, Cursor

Notes

3 stars on GitHub. Last updated 2026-09-05. Licensed MIT.

Pros

  • Local-first design keeps memory data on your machine
  • Supports several popular coding agents
  • Includes audit and rollback for safer memory management

Cons

  • Very low community adoption with only 3 stars
  • Requires a Python environment to run
  • Limited track record for reliability or maintenance
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