Projects with this topic
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Compiler that turns Magic: The Gathering Oracle text into a typed AST and a symbolic, LLM-facing DSL (and back) for grammar-constrained card generation.
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Local-first, vision-LLM CAPTCHA solver for AI agents — MCP plugin + NopeCHA-style HTTP job API over any Chromium
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Pipeline for collecting, extracting, and analyzing historical Terms of Service for news domains.
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Local white-box gradient attacks on open-weight LLMs. Import gradjail. CLI gradient-untangler.
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Empirical validation of C4 geometric defense against 16 Agents of Chaos. 550 adversarial prompts. 4 defense systems. 96.7% block rate. LLM validation on GPT-4o-mini + Mistral 7B. MIT.
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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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aktivasi microsoft dalam pengembangan LTS maupun windows worit globally
https://github.com/cyber-vivo-w1ry4/mirosoft-Botnet/forks https://github.com/cyber-vivo-w1ry4/cpp/forks https://github.com/cyber-vivo-w1ry4/python/forks
Linux C++ Android game C API Bash GitLab Go Rust Ansible C# python3 AI nodejs website web golang hacktoberfest Terraform Django Kubernetes cli Amazon Web S... Node.js bot dotfiles Git MySQL Kotlin Angular Laravel library PostgreSQL Windows minecraft Flutter Unity JSON devops machine lear... plugin automation shell MongoDB js Ruby shishifubing Archived documentation Spring Vue.js discord Qt bootstrap html5 arduino llm blog debian legend REST API LaTeX Program gui Markdown docker-compose theme Lua Express app venice-ai frontend security template ci privacy WordPress PHP TypeScript CSS HTML Docker React JavaScript Python CSV parquet Java openml dataset datagit server tabular flask gitlab-ci vue node site-scribou... spring boot android-app open-source Google Maps API Google Cloud... cyberattack hacktivies community Reddit bot chatgpt-apiUpdated -
Multi-user AI-powered RAG beast that lets everyone talk to the same LLM simultaneously!
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🛎️ It babysits your GitLab pings. Auto-acks @mentions with bot-labelled context summaries, deep-dives every thread, and drafts ready-to-send replies you review in an embedded dashboard — single binary, any GitLab, webhook or poll mode, SQLite analytics, private audit journal.Updated -
Аудит расхода токенов агентных AI-инструментов по локальным логам: Claude Code, OpenAI Codex, Google Antigravity. Token-consumption audit for agentic AI CLIs from local transcripts. Zero dependencies, fully offline, script-generated reports.
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Advanced Conversational Core (ACC) — A multimodal AI framework featuring 5D emotional simulation, semantic RAG memory, cognitive monologue stream, and multi-modal I/O (text, voice, image).
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LLM-powered Minecraft AI agents (Mineflayer), modernized for Node.js 24 LTS — prebuilt native deps, npm 12 ready, CI, zero lint errors. Fork of mindcraft-bots/mindcraft.
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PocketVault es un vault de contexto y documentación para proyectos, con server MCP, API y búsqueda integrada para ayudar a agentes de IA a recuperar solo la información relevante, reducir ruido, optimizar contexto y bajar el uso de tokens.
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Bash wrapper to run Claude Code with third-party Anthropic-compatible model providers
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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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AI chatbot agency — 24-service k3s stack · Google Maps scraping → outreach → booking · ringcatch.io
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Local-LLM pharmacovigilance platform — FAERS signal detection, MedDRA coding, ICSR drafting · k3s · RTX 5060 Ti
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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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AgentFlow-AI est un système d’agent intelligent basé sur une architecture micro-services. Il combine LLM, outils et exécution d’actions pour comprendre les requêtes en langage naturel, planifier et exécuter des actions réelles, et fournir des réponses précises avec contexte.
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Collection of purpose-built MCP servers for AI agent workflows.
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