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Tag: #ai-agents-framework

12 packages • ⭐ 46,045 total stars

activepieces0.81.4🌱 Seedling21,667

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

voltagent@voltagent/server-elysia@2.0.7🌿 Growing7,851

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

PraisonAIv4.6.25🌳 Mature6,900

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, R

ag2v0.12.0🌿 Growing4,383

AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x

koog0.8.0🌿 Growing4,053

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-brow

AutoAgentsv0.3.7🌱 Seedling542

A multi-agent framework written in Rust that enables you to build, deploy, and coordinate multiple intelligent agents

rai2.12.0🌿 Growing488

RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and

AI-Governor-Framework0.0.0🌿 Growing78

The Keystone Framework for AI-Driven Code ! Turn any AI coding assistant into a disciplined, project-aware engineering partner that respects your architecture and coding standards

mcp-meshv1.3.4🌱 Seedling32

Enterprise-grade distributed AI agent framework | Develop → Deploy → Observe | K8s-native | Dynamic DI | Auto-failover | Multi-LLM | Python + Java + TypeScript

ai-dev-assistant-frameworkmain@2026-04-21🌱 Seedling4

A plug-and-play framework for AI-assisted software development, enhancing context-aware collaboration in complex codebases. Perfect for tools like GitHub Copilot. 🐙✨

agentic-aimain@2026-04-21🌱 Seedling1

🤖 Explore AI agent architectures with agentic-ai, featuring ReAct agents, reflection-based designs, and modular LLM integrations using LangChain and LangGraph.