Compare two AI tools side by side
Put any two skills or MCP servers next to each other: risk grade, what each can access, how popular it is, and how to install it.
| What | chunkhound | memorix |
|---|---|---|
| Risk grade | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee. | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 24, 2026. Our opinion, not a code audit or security guarantee. |
| Type | App connector | App connector |
| Est. context load | ~850 tokens / turn (~5 tool schemas, 0.43% of 200k context) | ~550 tokens / turn (~3 tool schemas, 0.27% of 200k context) |
| GitHub stars | 1.5k | 882 |
| Weekly npm downloads | — | 1.3k |
| Local files | No local folder access noted | No local folder access noted |
| Command execution | No shell command runner noted | No shell command runner noted |
| Network reach | Connects to outside service API | Connects to outside service API |
| Credentials | Requires API key or token | Requires API key or token |
| Package source | GitHub (chunkhound/chunkhound) | npm (memorix) |
| Install command | Source repo only | npx -y memorix |
| Bottom line | Chunkhound gives AI systems deep access to your entire codebase, so never use it with repositories containing secrets, private logic, or sensitive IP unless you fully trust where that context goes. | memorix (MCP server) requires careful permission scoping — data persistence scope: Verify what agent interactions and code context are stored, and whether sensitive code or credentials could be cached in memory layers without encryption at rest. |
Based on public adoption and transparency signals as of Oct 28, 2026. Our opinion, not a code audit or security guarantee.
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