Tuning Engines Cli vs Codebase Memory Mcp

Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.

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Tuning Engines Cli
cerebrixos-org
💻 Developer Tools
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💻 Developer Tools
SummaryDomain-specific fine-tuning of open-source LLMs and SLMs with zero infrastructure. Specialized tuning agents deliver sovereign models trained on your data. Supports Qwen, Llama, DeepSeek, Mistral, Gemma 1B-72B. LoRA, QLoRA, full fine-tuning. Cost estimation, model management, S3 export.Code-intelligence engine that indexes a repo into a persistent knowledge graph — functions, classes, call chains, HTTP routes, cross-service links. 159 languages via tree-sitter + Hybrid LSP, sub-ms structural queries, 99% fewer tokens than grep. Single static binary, zero dependencies, 100% local. npx codebase-memory-mcp
Quality signal24/100 (Emerging)33/100 (Emerging)
Install pathnpx · lownpx · high
Engagement 0 0 0 4 0 0 0 37,079
ToolsNot listed yetNot listed yet
Verified / officialNoNo
Open listingView Tuning Engines CliView Codebase Memory Mcp
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