Search Results for "keywords"

...It supports multiple configuration options, including model switching, sampler selection, and adjustable image sizes, giving users control over output quality and style. It includes advanced prompt syntax to refine results and allows automatic translation of Chinese keywords to improve usability across languages. A customizable banned word list helps filter unwanted content, while timed message recall can automatically delete generated outputs after a set period. Built on Koishi’s modular system, koishi-plugin-novelai can be extended with additional integrations, making it adaptable for different bot environments and use cases.

...It offers a simple flow: point the server at a local chat database, run the companion chatbot to ingest messages, and then use the MCP tool to retrieve scoped threads and generate concise syntheses. The tool design lets agents filter by participants, time ranges, or keywords before summarizing, which keeps outputs relevant and reduces hallucinated context. Documentation provides a “before you start” checklist to initialize the dataset and highlights the single tool (query_chat_messages) that returns results and summaries. Although releases are minimal, the code and README are sufficient for local setups and experimentation. ...

...It uses Playwright to simulate real user interactions with the marketplace, allowing the system to retrieve product data and track updates in near real time. ai-goofish-monitor can run multiple monitoring tasks simultaneously, each configured with specific keywords, price ranges, and filtering conditions. A built-in web management interface allows users to create tasks, review results, and manage monitoring rules without relying solely on command line tools. AI models analyze product descriptions, images, and seller information to determine whether a listing meets defined requirements and should be recommended to the user.

Mantic.sh is a context-aware, structural code search engine designed specifically for use with AI coding agents and developers who need deep, semantically relevant search across large codebases. Unlike traditional text-based search tools that mainly match keywords, Mantic.sh understands code structure and meaning by combining syntactic heuristics with neural semantic reranking to produce results that reflect conceptual relevance, which helps find functions, definitions, and patterns that literal search might miss. It uses local embeddings and code graph awareness so that queries like “authentication flow” return not just superficially matching text but contextually related code across multiple repositories. ...

...When publishing the project to the public network, you should set AUTH_SECRET_KEYthe variable to add your password access rights, and you should also modify the index.HTML title to prevent it from being searched by keywords.