Kage vs ai-context-hierarchy
Side-by-side comparison of two Ai projects on AiList.
Tagline
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 in your repo as plain files, shared via git. No account, no DB. Install: npx -y @kage-core/kage-graph-mcp install
Three-level context hierarchy for AI coding agents — featured in Graphify v5.0 roadmap. Stop re-explaining your codebase every session. Works with Claude Code, Cursor, Codex, Gemini CLI, Claude Desktop.
GitHub Stars
6
6
Stars This Week
—
—
Language
—
—
License
—
—
Built With
—
—
Views
45
41
Clicks
22
2
