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The ultimate AI-powered generator for llms.txt and llms-full.txt files.

The enforcement layer for AI agents. Intercept enforces hard, deterministic limits on what agents can do at the MCP transport layer — before execution.

Self-hosted RAG engine for AI coding assistants. Ingests technical docs & code repositories locally with structure-aware chunking. Serves grounded context via MCP to prevent hallucinations in software development workflows.

Agent Tool and Skills for VR Development on Meta Quest

Collaborative application security testing between humans and agents via CLI and MCP

Lightweight Swift 6 framework for building LLM-powered agents — cloud + on-device inference via MLX on Apple Silicon

AI agent toolkit for accessing and analyzing SEC EDGAR filing data. Build intelligent agents with LangChain, MCP-use, Gradio, Dify, and smolagents to analyze financial statements, insider trading, and company filings.

Meet WebHive, the AI-powered browser that takes care of tasks for you. No more endless clicks, tell it what you need, and it gets it done.

Voice-driven AI professional agent. Real-time conversations powered by Gemini Live API, native audio streaming, and multimodal intelligence. BIM/Revit, financial analysis, and web search tools.

mcp implementation of an agentic framework

Agent Hub is an AI orchestration platform that transforms how developers and DevOps engineers interact with their toolchain. Built on the cutting-edge Model Context Protocol (MCP), it provides intelligent automation through specialized AI agents, seamlessly integrating with GitHub, Azure, security tools, and data processing

ChatGPT-like AI that runs 100% locally on your hardware. No subscriptions, no cloud, complete privacy. Multi-agent swarm + 10 MCP tools + hybrid RAG vector DB + . Runs on one GPU (RTX 5090 recommended)

Native Linux sandboxing built for the AI era.

A curated list of MCP servers, tools, protocols, and resources for AI-powered advertising campaign management. Covers Google Ads, Meta, LinkedIn, Reddit, TikTok, Amazon, and more.

Persistent cognitive graph memory for AI agents — facts, decisions, reasoning chains, corrections. 16 query types, sub-millisecond. Rust core + Python SDK + MCP server.

Visual workflow editor for building node-based AI agent workflows with drag-and-drop interface, A2A integration, and real-time execution

Functional Python agent framework with MCP support, enterprise security, immutable state, and production-ready observability for building scalable AI systems.

AI coding agent for your terminal, implemented in pure Rust

A privacy-first, local AI copilot and permissioned agent runtime for Windows. Powered by the Model Context Protocol (MCP).

A comprehensive unified knowledge management system integrating multiple data sources with advanced search capabilities