LLMStack alternatives for AI agents.

Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/

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 more.

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference.

<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.

A programming framework for agentic AI

Quantalogic ReAct Agent - Coding Agent Framework - Gives a ⭐️ if you like the project

Pocket Flow: Codebase to Tutorial

The PHP Agentic Framework to build production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data.

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.

A simple yet powerful agent framework that delivers with open-source models

The agent engineering platform.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Build resilient agents.