Open-source ROS-based simulator enabling multi-agent autonomous racing with customizable control and realistic vehicle dynamics.
- Dual-agent simulation in Gazebo
Tools in this category give developers the groundwork for building and running AI agents: frameworks and SDKs, orchestration libraries for multi-step LLM workflows, self-hosted management consoles, managed hosting for agent runtimes, and simulation environments with benchmarks for reinforcement learning. Use them to prototype an agent, wire up memory and tool calls, test behaviour, then deploy it.
258 agents · Updated September 29, 2026
Open-source ROS-based simulator enabling multi-agent autonomous racing with customizable control and realistic vehicle dynamics.
Skeernir is an AI agent framework template that enables automated game playing and process control via puppet master interfaces.
An open-source AI agent design studio to visually orchestrate, configure, and deploy multi-agent workflows seamlessly.
A Java-based multi-agent communication demo using JADE, showcasing two-way interaction, message parsing, and agent coordination.
MARFT is an open-source multi-agent RL fine-tuning toolkit for collaborative AI workflows and language model optimization.
An open-source Python framework enabling design, training, and evaluation of cooperative and competitive multi-agent reinforcement learning systems.
Letta is an AI agent orchestration platform enabling creation, customization, and deployment of digital workers to automate business workflows.
Humen is an AI agent designed for human-like conversation and assistance.
MARTI is an open-source toolkit offering standardized environments and benchmarking tools for multi-agent reinforcement learning experiments.
BeeAI is a no-code AI agent builder for custom customer support, content generation, and data analysis.
Open-source framework with multi-agent system modules and distributed AI coordination algorithms for consensus, negotiation, and collaboration.
AIPE is an open-source AI agent framework providing memory management, tool integration, and multi-agent workflow orchestration.
CrewAI Quickstart provides a Node.js template to rapidly configure, run, and manage conversational AI agents via CrewAI API.
Labs is an AI orchestration framework enabling developers to define and run autonomous LLM agents via a simple DSL.
An AI agent-based multi-agent system using 2APL and genetic algorithms to solve the N-Queen problem efficiently.
An open-source Python framework offering diverse multi-agent reinforcement learning environments for training and benchmarking AI agents.
AI Terminal is a command-line tool enabling chat with AI models and automating shell, SQL, and HTTP commands.
Privasea is an AI agent for enhanced online privacy and cybersecurity.
AICell is an AI agent that generates human-like conversations and provides customer support.
Self-hosted AI agent management platform enabling creation, customization, and deployment of GPT-based chatbots with memory and plugin support.
An open-source FastAPI starter template leveraging Pydantic and OpenAI to scaffold AI-driven API endpoints with customizable agent configurations.
AI Engineer DevTools is a CLI toolkit offering scaffolding, code generation, testing, deployment, and monitoring for AI agents.
LangChain is an open-source framework enabling developers to build LLM-powered chains, agents, memories, and tool integrations.
A reinforcement learning framework enabling autonomous robots to navigate and avoid collisions in multi-agent environments.
Cloudflare Agents lets developers build autonomous AI agents at the edge, integrating LLMs with HTTP endpoints and actions.
Enhances AI code assistants by extracting and supplying relevant code context with AST analysis for more accurate completions.
A Java-based multi-agent system demonstration using JADE framework to model agent interactions, negotiations, and task coordination.
Clear Agent is an open-source framework enabling developers to build customizable AI agents that process user input and execute actions.
Aurora coordinates multi-step planning, execution, and tool usage workflows for autonomous generative AI agents powered by LLMs.
Open-source Python framework to build AI agents with memory management, tool integration, and multi-agent orchestration.
Deploy LlamaIndex-powered AI agents as scalable, serverless chat APIs across AWS Lambda, Vercel, or Docker.
A Docker-based framework to rapidly deploy and orchestrate autonomous GPT agents with built-in dependencies for reproducible development environments.
A modular AI Agent framework with memory management, multi-step conditional planning, chain-of-thought, and OpenAI API integration.
ReasonChain is a Python library for building modular reasoning chains with LLMs, enabling step-by-step problem solving.
A Java-based platform enabling development, simulation, and deployment of intelligent multi-agent systems with communication, negotiation, and learning capabilities.
A Python OpenAI Gym environment simulating the Beer Game supply chain for training and evaluating RL agents.
A CLI toolkit to scaffold, test, and deploy autonomous AI agents with built-in workflows and LLM integrations.
An open-source Python framework enabling rapid development and orchestration of modular AI agents with memory, tool integration, and multi-agent workflows.
A GitHub repository showcasing code samples for building autonomous AI agents on Azure with memory, planning, and tool integration.
VMAS is a modular MARL framework that enables GPU-accelerated multi-agent environment simulation and training with built-in algorithms.
Enables GPT-3.5/4 to call and execute developer-defined functions for dynamic, structured API-driven conversational tool integrations.
An AI-powered CLI tool that converts natural English requests into safe shell commands and executes them interactively.
An open-source Python framework for building modular AI agents with pluggable LLMs, memory, tool integration, and multi-step planning.
A Python framework to build and simulate multiple intelligent agents with customizable communication, task allocation, and strategic planning.
A multi-agent reinforcement learning environment simulating vacuum cleaning robots collaboratively navigating and cleaning dynamic grid-based scenarios.
LangGraph Studio is an IDE for developing AI agents using LangChain.
Brian Knows is an AI Agent designed for personalized knowledge assistance and insights.
An open-source RL agent for Yu-Gi-Oh duels, providing environment simulation, policy training, and strategy optimization.
InfantAgent is a Python framework for rapidly building intelligent AI agents with pluggable memory, tools, and LLM support.
A CLI client to interact with Ollama LLM models locally, enabling multi-turn chat, streaming outputs, and prompt management.