4 个仓库
Awesome GitHub RepositoriesLLM Contextual Integrations
Architectures that send real-time operational context to large language models for specific analysis tasks.
Distinct from Context-Aware Tooling: Focuses on LLM API payload enrichment rather than general tool loading for performance.
Explore 4 awesome GitHub repositories matching software engineering & architecture · LLM Contextual Integrations. Refine with filters or upvote what's useful.
Awesome LLM Contextual Integrations GitHub Repositories
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- zuodaotech/everyone-can-use-english
ZuodaoTech/everyone-can-use-english
34,948在 GitHub 上查看This project is an AI-powered English education tool and browser extension designed for immersive language learning. It functions as a proficiency training suite that integrates AI tools and linguistic analysis directly into external websites and streaming video platforms. The system employs a DOM injection model to add interactive overlays and toolbars to web pages. It uses large language model APIs to provide real-time translations and maps curated pronunciation and grammar exercises to specific timestamps in external media. The tool covers a broad range of English proficiency training, in
Sends page metadata and media timestamps to external LLMs for real-time translation and analysis.
TypeScript - keephq/keep
keephq/keep
11,938在 GitHub 上查看Keep is an open-source AIOps alert management platform that aggregates, deduplicates, and orchestrates the lifecycle of alerts from multiple monitoring tools. It functions as a multi-provider integration hub to centralize the flow of data between observability, ticketing, and communication tools. The platform distinguishes itself through incident workflow automation and AI-powered enrichment. It uses a declarative workflow engine to execute multi-step operational sequences and integrates large language models to summarize event data and correlate technical logs for faster incident resolution.
Integrates large language models to summarize event data and correlate technical logs for automated analysis.
Python - dbcli/mycli
dbcli/mycli
11,932在 GitHub 上查看mycli is a MySQL command line client, database administration tool, and SQL query editor. It functions as a terminal interface for executing queries and managing MySQL connections, incorporating an integrated assistant that uses large language models to generate and analyze SQL statements based on the current database schema. The tool provides specialized query authoring capabilities, including context-sensitive syntax suggestions, fuzzy-matching identifier completion for tables and columns, and the ability to handover query buffers to external system text editors. It distinguishes its connec
Enriches LLM API payloads with the current database schema to generate and analyze context-aware SQL queries.
Pythonauto-completiondatabasemycli - yogeshojha/rengine
yogeshojha/rengine
8,472在 GitHub 上查看Rengine is an automated reconnaissance framework and vulnerability management platform designed for attack surface monitoring. It functions as a centralized hub for discovering subdomains and open ports, gathering open-source intelligence, and tracking security flaws across target networks. The system integrates large language models to analyze reconnaissance data and generate vulnerability descriptions and insights. It distinguishes itself through a plugin-based tool integration that wraps external security scanning binaries and a target mapping system that tracks changes to assets over time
Feeds reconnaissance data into large language models to synthesize vulnerability descriptions and surface insights.
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