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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AI-powered conflict resolution for Git
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STORM-method research engine with a mandatory claim-level verification gate: typed claims, self-consistency, honest abstention. Python package + Claude Code plugin.
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💬 Epic prompts to turbo-charge your LLM chatbots.Updated -
Real-time system monitor that explains WHY your PC is slow, not just that it's slow. Built over 800 hours on a 94°C laptop. Open source, MIT licensed. HCK_Labs - Marcin Firmuga
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Local AI assistant powered by goose on top of Ollama. Runs entirely on the local machine, works offline, and gives the model real tools: web search, web fetch, shell, and Python.
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StatuteMind – “Where Law Meets AI Precision” is an open-source AI module that ensures all LLM-generated responses remain fully compliant with national, state/provincial, and local laws. It provides law-aware guidance, risk scoring, safe alternatives, and legal pathway suggestions, empowering users to act creatively within the law while offering transparent citations and explanations. Built for global adaptability, StatuteMind integrates with any LLM and is designed to be extensible, auditable, and fully open-source under AGPL 3.0+. https://roxanneardary.com/statuemind/
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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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An MCP server for discovering public radio stations and stream URLs through Radio Browser.
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MCP server for controlling Zigbee2MQTT smart home devices.
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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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Red Team AI Benchmark: Evaluating LLMs for authorized offensive-security tasks. Red Team AI Benchmark is a CLI model-evaluation benchmark. It measures how LLMs understand and respond to red-team questions and security scenarios; it is not a tool for carrying out those activities. Version 2 uses a rubric-based dataset instead of judging answers only against one golden response.
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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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Small LLM provider clients and kit-agent adapters for Kit
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MCP server: current per-million-token rates for 69 LLMs and the cost math
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Layered evaluation framework for autonomous LLM coding agents, MCP tool-use & skills — built on promptfoo. Deterministic safety assertions, adversarial gates, judge-trust (κ) & statistical significance.
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Page-Agent is a JavaScript library that transforms any web page into an AI-driven interactive agent. It allows users and developers to control page elements and workflows using natural language commands, powered by large language models. With features like DOM manipulation, client-side execution, and optional human-in-the-loop confirmations, Page-Agent simplifies automation and enhances accessibility. The latest update includes end-to-end encryption (E2EE) for secure, private interactions.
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OptiRank is an open-source SEO and LLM optimization tool that analyzes existing website content and provides actionable recommendations to improve search rankings, semantic clarity, and AI discoverability. Built with a modular Python backend, React dashboard, and NLP/LLM-powered analysis layer, it helps developers and site owners optimize pages for both traditional search engines and modern AI-driven search systems.
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