Caveman
🦴 A self-contained C# prompt compressor for LLMs (GPT-4, Gemma, Llama, …): strips grammatical "noise" and lemmatizes text for up to 70% token reduction, across 50+ embedded languages, with zero NLP-model runtime dependency. Content-aware routing auto-detects…
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- Blazor
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- 2026-10-10
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Caveman.mcp github.com
An MCP (Model Context Protocol) server exposing Caveman's token compression, language detection, content-aware routing and extractive summarization as tools for AI agents and MCP-compatible editors — integrates directly with Claude Code, Cursor, Windsurf and similar.
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Caveman.SemanticKernel github.com
Optional add-on package exposing Caveman's prompt compression, conversation-fitting/summarization, and project-analysis tools as Microsoft Semantic Kernel plugins (kernel functions ready to register with Kernel.CreateBuilder()).
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Caveman.PrivacyGuard github.com
🛡️ Enterprise-grade PII/privacy analyzer for AI/LLM pipelines: detects, risk-scores and auto-masks sensitive data across 27 EU countries (heuristic regex + Luhn/IBAN/checksum validators + Shannon-entropy analysis), with GDPR/PCI-DSS/NIST-800-53 compliance mapping and…
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Caveman github.com
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Fun.Blazor github.com
This is a project to make F# developer to write blazor easier - Use F# for Blazor, Computation expression (CE) style DSL for internal and third party blazor libraries, Dependency injection, Adaptive and Elmish models, Giraffe style routing, Type safe style.
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unslop github.com
CLI and MCP server that removes AI writing patterns from text: tricolons, em-dash overuse, hedging stacks, sycophancy openers, and overused vocabulary. Works with any MCP client including Gemini CLI. Five intensity levels and a lint-only audit mode. Useful for cleaning commit…
Blazor › Sample Projects > AI: “🦴 A self-contained C# prompt compressor for LLMs (GPT-4, Gemma, Llama, …): strips grammatical "noise" and lemmatizes text for up to 70% token reduction, across 50+ embedded languages, with zero NLP-model runtime dependency. Content-aware routing auto-detects…”