Autonomous AI agents that perform tasks independently
ghuntley
Groundhog's primary purpose is to teach people how Cursor and all these other coding agents work under the hood. If you understand how these coding assistants work from first principles, then you can drive these tools harder (or perhaps make your own!).
...moreAgentfy-io
🤖 Agentfy is a modular microservices architecture designed to process user requests and execute workflows across multiple social media platforms. ASK ONCE, LET THE AGENT DO THE REST!
...moresinanuozdemir
An introduction to the world of AI Agents
Denis2054
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.
...moreAzure-Samples
Serverless AI agent using LangChain.js and Model Context Protocol (MCP) integration to order burgers from a burger restaurant
...moresaigontechnology
Chat application with multi-agents system supports multi-models and MCP
mtwn105
Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.
provos
A secure* runtime for autonomous AI agents. Policy from plain-English constitutions. (*https://ironcurtain.dev)
AndrewAltimit
Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interpretability on sleeper agents, and agent integration via CLI wrappers
...moreuniversal-tool-calling-protocol
Official Go implementation of the UTCP
agentailor
Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval, persistent conversation memory with PostgreSQL, and real-time streaming responses. Built with TypeScript, React, Prisma, and Tailwind CSS.
...moreokx
OKX trading MCP server — connect AI agents to spot, swap, futures, options & grid bots via the Model Context Protocol.
aws-samples
This project demonstrates how to use AWS Bedrock with Anthropic Claude and Amazon Nova models to create a web automation assistant with tool use, human-in-the-loop interaction, and vision capabilities.
...moreMattbusel
Multi-core, Tokio-native orchestration for LLM pipelines.
Azure-Samples
The Architecture Review Agent is an open-source AI agent sample that reviews software architectures and generates interactive diagrams automatically.
...moreanzax
DockaShell is an MCP server that gives AI agents isolated Docker containers to work in. MCP tools for shell access, file operations, and full audit trail.
...moreekingunoncu
Turn Any Browser Action & Data Extraction into an AI Tool in 60 Seconds
kahliburke
MCP server giving AI agents full access to Julia's runtime via a live Gate — code execution, introspection, debugging, testing, and semantic search
...morealexk-dev
AI agent framework for Java — skill-based architecture with MCP support, tool calling, RAG, and Telegram integration. Built on Spring Boot and LangChain4j
...morekiliman
The Self-Improving MCP Server - Agents write code to orchestrate multiple MCP servers with intelligent TypeScript execution and auto-augmentation
...moreAuraFriday
Let AI agents like ChatGPT & Claude use real-world local/remote tools you approve via browser extension + optional MCP server
...morensphung
Stop building AI agents from scratch. Bootstrap starter Agent app with LangGraph, CopilotKit, and beautiful Generative UIs.
...moreopenagentidentityprotocol
Agent Identity Protocol - Zero-trust security layer for AI agents. Policy enforcement proxy for MCP with Human-in-the-Loop approval, DLP scanning, and audit logging.
...morekriasoft
Turn any MCP server into a type-safe TypeScript SDK in seconds - with OAuth 2.1 and multi-provider support