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kage-core/Kage

by Various

Persistent, verified memory for coding agents — so they stop re-explaining your codebase and never act on stale knowledge. Every memory is checked against your actual code; lives i

K

MCP

kage-core/Kage

Added 18 June 2026

#agent-memory #ai-agents #claude-code #code-graph #codex #cursor #developer-tools #knowledge-graph

Overview

Kage gives coding agents persistent memory that is verified against the actual codebase. Memories are stored as plain files in the repository and shared through git. It requires no account or database and is installed via npx.

Best for

Best for
Teams using coding agents that need shared, version-controlled memory across sessions

Use cases

  • Reduce context loss when switching between coding sessions
  • Prevent agents from re-explaining known parts of the codebase
  • Share agent memory across a team via git

How to use

Install

npx -y @kage-core/kage-graph-mcp install

Tested with

Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Cline, Goose, Roo Code

Notes

Kage gives coding agents persistent memory that is verified against the actual codebase. Memories are stored as plain files in the repository and shared through git. It requires no account or database and is installed via npx.

6 stars on GitHub. Last updated 2026-06-18. Licensed GPL-3.0.

Use cases

  • Reduce context loss when switching between coding sessions
  • Prevent agents from re-explaining known parts of the codebase
  • Share agent memory across a team via git

Pros

  • No account or database required
  • Memories are version-controlled with git by living in plain files
  • Verified against actual code to avoid stale knowledge

Cons

  • Low adoption with only 6 stars on GitHub
  • May have limited edge case handling for complex codebases
  • Requires manual MCP installation via npx

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • No account or database required
  • Memories are version-controlled with git by living in plain files
  • Verified against actual code to avoid stale knowledge

Cons

  • Low adoption with only 6 stars on GitHub
  • May have limited edge case handling for complex codebases
  • Requires manual MCP installation via npx
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