Projects with this topic
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AI-powered conflict resolution for Git
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TOON (Token-Oriented Object Notation) encoder/decoder for Kit - reduces token usage by 30-60% compared to JSON
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SSH MCP server in Go - persistent shell sessions and SFTP over stdio
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Understand your Spotify taste with AI. A no-backend React SPA that connects providers via OAuth PKCE — music dashboard, AI taste analysis, and a persistent taste catalogue. Live at https://affinity.msyea.com.
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💬 Epic prompts to turbo-charge your LLM chatbots.Updated -
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AI chatbot agency — 24-service k3s stack · Google Maps scraping → outreach → booking · ringcatch.io
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Experimental text-to-speech utility via keyboard shortcut, powered by Large Language Models (LLM).
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A unified Python interface to select and use multiple Large Language Model (LLM) providers through a common API.
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PromptCape — Java code obfuscation proxy for AI coding assistants (Claude Code, Cursor, Mistral). Docs, examples, FAQ. Documentation, technical articles, and Java framework examples for PromptCape — a Java code obfuscation proxy for AI coding assistants.
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We build, host, and manage all kinds of production-grade websites and applications so businesses can stay online, secure, and worry-free.
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A Zig implementation of the Model Context Protocol (MCP) spec revision 2025-03-26. Features JSON-RPC 2.0, stdio/HTTP transports, OAuth2.1 authentication, worker thread pool with cancellation, and deterministic testing.
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Experiments with Subliminal Learning
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A utility for instant grammar correction in any text field via keyboard shortcut, powered by Large Language Models (LLM).
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Local-LLM pharmacovigilance platform — FAERS signal detection, MedDRA coding, ICSR drafting · k3s · RTX 5060 Ti
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Antimicrobial stewardship platform — resistance surveillance, disproportionality analysis, RAG guideline retrieval · k3s · local LLM
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Hive is a peer-to-peer system that distributes AI inference tasks across volunteer workers ("bees") running local or cloud LLMs. Send the same task to multiple bees in parallel, then automatically merge their outputs over several rounds to make small models smarter together. Built with Rust, Tauri, and libp2p.
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Agent supervision, memory distillation, and multi-model orchestration. Kybernetes steers AI agents — catching hallucination and drift before they compound.
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