🧰에이전트 프레임워크 AI 에이전트

A 27-chapter hands-on tutorial for building an autonomous AI agent from zero in Python. Agent loop, tool system, memory, skills, MCP, multi-platform gateway, and self-evolution — inspired by Hermes Agent.

The Station is an open-world multi-agent environment where AI agents pursue autonomous scientific discovery and build a shared literature.

PocketGroq is a powerful Python library that simplifies integration with the Groq API, offering advanced features for natural language processing, web scraping, and autonomous agent capabilities. Key Features Seamless integration with Groq API for text generation and completion Chain of Thought (CoT) reasoning for complex problem-solving and more.

A fully-featured, GUI-powered local LLM Agent sandbox with complete MCP protocol support. Features both CLI and full desktop environment, enabling AI agents to operate browsers, terminal, and other desktop applications just like humans. Based on E2B oss code.

Lightweight multi-agent gridworld Gym environment

Official Implementation of Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization

Google Antigravity Standalone for Android - Autonomous ARM64 Client & Freeform Environment

A ReAct-Based Highly Robust Autonomous Agent (Harness) Framework.

Deploy intelligence. Open-source infrastructure for AI agents in production.

This is a repository for the course "Agentic AI Engineering" by Towards AI.

The Execution Security Layer for the Agentic Era. Providing deterministic "Sudo" governance and audit logs for autonomous AI agents.

SuperNova is a Windows-first desktop AI Workbench that turns chat into traceable tasks. It combines a Tauri + React Workbench, Rust Product Runtime, typed protocol, and Process Kernel so actions can produce visible artifacts, runtime receipts, replayable evidence, and controlled workspace execution.

Trend-to-Video Agent Framework for publish-ready short video packages

Move from idea to production in hours with policy-driven autonomous AI agents. Unified Control Plane: Centralised tools, MCPs, models, data, and policies with consistent observability and governance.

Framework profissional de orquestracao multi-agente em Python: crews, flows orientados a eventos, ReAct, RAG, memoria, MCP/A2A e multi-provider LLM

A model-agnostic Ruby Generative AI DSL and framework. Provides base classes for building Generators, Actions, Tasks, and Agents that can be used to build AI powered applications in Ruby.

A portable, provider-agnostic specification for AI agent personas

LazyOwn RedTeam/APT Framework is the first RedTeam Framework with an AI-powered C&C, featuring rootkits to conceal campaigns, undetectable malleable implants compatible with Windows/Linux/Mac OSX, and self-configuring backdoors. With its Web interface and powerful Console Client, it is the best combination for your Autonomous RedTeam/APT campaigns.

An open source, agentic Loom alternative. Record locally, make recordings AI-ready, and run workflows on top

🔥🔥🔥 AI security automation platform. Build visual workflows, deploy autonomous agents, and automate threat detection and response. 80+ integrations with SIEM, EDR, ticketing, and cloud tools. Self-hosted SOAR alternative.

A curated list of code samples and tutorials for building agents on Gemini Enterprise Agent Platform (previously Vertex AI).

Chat application with multi-agents system supports multi-models and MCP

Universal, model-agnostic operating harness for AI agents (Claude, Codex, Gemini, …) — a lean core + work-type profiles assembled by one setup script.

[Up-to-date] A curated list of resources on graph-empowered agents and agent-facilitated graph learning (Graphs Meet Agents & Agentic Graph Engineering).