SwarmFlow enables developers to instantiate and coordinate a swarm of AI agents using configurable workflows. Agents can asynchronously exchange messages, delegate sub-tasks, and integrate custom plugins for domain-specific logic. The framework handles task scheduling, result aggregation, and error management, allowing users to focus on designing agent behaviors and collaboration strategies. SwarmFlow’s modular architecture simplifies building complex pipelines for automated brainstorming, data processing, and decision support systems, making it easy to prototype, scale, and monitor multi-agent applications.

This repository delivers a customizable multi-agent framework simulating a taxi call center. It defines distinct AI agents: CustomerAgent to request rides, DispatchAgent to select drivers based on proximity, DriverAgent to confirm assignments and update statuses, and NotificationAgent for billing and messages. Agents interact through an orchestrator loop using OpenAI GPT calls and memory, enabling asynchronous dialogue, error handling, and logging. Developers can extend or adapt agent prompts, integrate real-time systems, and prototype AI-driven customer service and dispatch workflows with ease.

VideoAsk is an interactive platform by Typeform, allowing companies to enhance communication via asynchronous video conversations. Users can create tailored video messages, gather responses, and use dynamic feedback forms. It’s ideal for personalizing customer interactions, recruiting talent, and generating leads. With features like video chatbots, multimedia messaging, and video forms, VideoAsk simplifies and enriches your engagement strategies.

Async for Chrome is a versatile extension designed to enhance your email and work app experience by enabling voice note functionality. By integrating directly into your Gmail and other work applications, it allows for the addition of voice notes, making communication more efficient and personalized. This tool is particularly useful for team collaboration and improving the clarity of messages, as users can listen to notes at their convenience. Its mission is to power asynchronous conversations across various platforms.

Team of AI Agents provides a modular architecture to build and deploy multi-agent systems. Each agent operates with distinct roles, utilizing a global memory store and local contexts for knowledge retention. The framework supports asynchronous messaging, tool usage via adapters, and dynamic task reassignment based on agent outcomes. Developers configure agents through YAML or Python scripts, enabling topic specialization, goal hierarchy, and priority handling. It includes built-in metrics for performance evaluation and debugging, facilitating rapid iteration. With extensible plugin architecture, users can integrate custom NLP models, databases, or external APIs. Team of AI Agents accelerates complex workflows by leveraging collective intelligence of specialized agents, making it ideal for research, automation, and simulation environments.

A2A SDK is a developer toolkit for building, chaining, and managing AI agents in Python. It provides APIs to define agent behaviors via prompts or code, connect agents into pipelines or workflows, and enable asynchronous message passing. Integrations with OpenAI, Llama, Redis, and REST services allow agents to fetch data, call functions, and store state. A built-in UI monitors agent activity, while the modular design ensures you can extend or replace components to fit custom use cases.

AgentMesh provides a modular infrastructure for developers to create networks of AI agents, each focusing on a specific task or domain. Agents can be dynamically discovered and registered at runtime, exchange messages asynchronously, and follow configurable routing rules. The framework handles retries, fallbacks, and error recovery, allowing multi-agent pipelines for data processing, decision support, or conversational use cases. It integrates easily with existing LLMs and custom models via a simple plugin interface.

AgentVerse is designed to facilitate the creation of multi-agent architectures by offering a set of reusable modules and abstractions. Users can define unique agent classes with custom decision-making logic, establish communication channels for message passing, and simulate environmental conditions. The platform supports synchronous and asynchronous interactions among agents, enabling complex workflows such as negotiation, task delegation, and cooperative problem-solving. With integrated logging and monitoring, developers can trace agent actions and evaluate performance metrics. AgentVerse also includes templates for common use cases like autonomous exploration, trading simulations, and collaborative content generation. Its pluggable design allows seamless integration of external machine learning models, such as language models or reinforcement learning algorithms, providing flexibility for various AI-driven applications.

Async AI enables users to transform their written communication by integrating voice notes into emails and work-related applications. This extension is designed to cater to modern work environments where asynchronous communication is essential. Users can record and send voice messages, enriching their emails with a personal touch that can convey tone and emotion more effectively than text. Async AI is simple to install and use, promoting a new standard in communication that helps reduce misunderstandings and enhances clarity in message delivery.