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llm-integration

Here are 54 public repositories matching this topic...

HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.

  • Updated Sep 9, 2025
  • Python

A discovery and compression tool for your Python codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project | Code structure visualization | LLM Context Window Efficiency | Static analysis for AI | Large Language Model tooling #LLM #AI #Python #CodeAnalysis #ContextWindow #DeveloperTools

  • Updated Dec 5, 2024
  • Python

A lightweight tool to optimize your Javascript / Typescript project for LLM context windows by using a knowledge graph | AI code understanding | LLM context enhancement | Code structure visualization | Static analysis for AI | Large Language Model tooling #LLM #AI #JavaScript #TypeScript #CodeAnalysis #ContextWindow #DeveloperTools

  • Updated Dec 2, 2024
  • Python

A lightweight tool to optimize your C# project for LLM context windows by using a knowledge graph | Code structure visualization | Static analysis for AI | Large Language Model tooling | .NET ecosystem support #LLM #AI #CSharp #DotNet #CodeAnalysis #ContextWindow #DeveloperTools

  • Updated Dec 3, 2024
  • Python

A discovery and compression tool for your Java codebase. Creates a knowledge graph for a LLM context window, efficiently outlining your project #LLM #AI #Java #CodeAnalysis #ContextWindow #DeveloperTools #StaticAnalysis #CodeVisualization

  • Updated Dec 4, 2024
  • Python

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.

  • Updated Sep 11, 2025
  • Python

A Model Context Protocol (MCP) server written in Go that empowers AI agents and Large Language Models (LLMs) to seamlessly interact with Kanboard. It transforms natural language commands into Kanboard API calls, enabling intelligent automation of project, task, and user management, streamlining workflows, and enhancing productivity.

  • Updated Aug 6, 2025
  • Go

Copilot Context Optimizer is a VS Code extension that gives GitHub Copilot specialized tools to analyze files and process terminal commands efficiently without overwhelming chat context. It extracts only specific information needed instead of dumping entire files or verbose outputs, keeping conversations focused on problem-solving.

  • Updated Aug 10, 2025
  • TypeScript

An open-source, AI-powered Functions-as-a-Service (FaaS) platform that enables LLMs like ChatGPT to perform real-world tasks through dynamic function execution. By connecting LLMs to function calls, Ingra unlocks automation, complex integrations, and real-time context loading—paving the way towards true AGI potential and beyond.

  • Updated Feb 27, 2025
  • TypeScript

A TypeScript-based autonomous agent framework with modular systems for memory, planning, and tool integration. Features vector-based recall, multi-strategy planning, and extensible tools for AI agent development.

  • Updated Apr 23, 2025
  • TypeScript

GPU - vector DB - AI-powered document processing platform for financial services. Features intelligent question answering, multi-format document support (PDF, DOCX, Excel), vector search with Qdrant, and multiple LLM integrations (OpenAI, Gemini, GROQ). Built with FastAPI, optimized for performance with parallel processing and advanced RAG

  • Updated Aug 13, 2025
  • Python

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