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Starred repositories
JRVS AI Agent with JARCORE autonomous coding engine - RAG knowledge base, web scraping, calendar, code generation. Powered by whatever local AI you choose.
API, CLI, and Web App for analyzing and finding a person's profile in 1000 social media \ websites
Browsers-as-a-service for automations and web agents
The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…
Infisical is the open-source platform for secrets, certificates, and privileged access management.
AI powered conditional automation for monitoring the web
Trae Agent is an LLM-based agent for general purpose software engineering tasks.
This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headles…
mcp-use is the easiest way to interact with mcp servers with custom agents
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
MCP (Model Context Protocol) Servers authored and maintained by the PulseMCP team. We build reliable servers thoughtfully designed specifically for MCP Client-powered workflows.
Copilot Chat extension for VS Code
Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…
The browser for web developers 🧑💻 Build your app right inside the browser while fully owning the codebase, take inspiration from the web and debug with AI
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Build and deploy an autonomous Devto Agent capable of interacting with the Dev.to platform, powered by A2A (Agent-to-Agent) and MCP (Model Context Protocol)
A tutorial on how to use Model Context Protocol by Anthropic and Agent2Agent Protocol by Google
✨ Build a machine learning model from a prompt
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Python A2A is a powerful, easy-to-use library for implementing Google's [Agent-to-Agent (A2A) protocol](https://google.github.io/A2A/). It enables seamless communication between AI agents, creating…
Agent2Agent (A2A) is an open protocol enabling communication and interoperability between opaque agentic applications.
Define, Prompt and Test MCP enabled Agents and Workflows
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website …
🚀 Level up your GitHub profile readme with customizable cards including LOC statistics!