SonAgent is an extensible open-source framework designed for building, organizing, and running AI agents in Python. It provides core modules for memory storage, tool wrappers, planning logic, and asynchronous event handling. Developers can register custom tools, integrate language models, manage long-term agent memory, and orchestrate multiple agents to collaborate on complex tasks. SonAgent’s modular design accelerates the development of conversational bots, workflow automations, and distributed agent systems.

MultiAgentModel provides a unified API to define custom environments and agent classes for multi-agent scenarios. Developers can specify observation and action spaces, reward structures, and communication channels. Built-in support for popular RL algorithms like PPO, DQN, and A2C allows training with minimal configuration. Real-time visualization tools help monitor agent interactions and performance metrics. The modular architecture ensures easy integration of new algorithms and custom modules. It also includes a flexible configuration system for hyperparameter tuning, logging utilities for experiment tracking, and compatibility with OpenAI Gym environments for seamless portability. Users can collaborate on shared environments and replay logged sessions for analysis.

UnitMesh Framework provides a flexible, modular environment for defining, managing, and executing chains of AI agents. It allows seamless integration with OpenAI, Anthropic, and custom models, supports Python and Node.js SDKs, and offers built-in memory stores, tool connectors, and plugin architecture. Developers can orchestrate parallel or sequential agent workflows, track execution logs, and extend functionality via custom modules. Its event-driven design ensures high performance and scalability across cloud and on-premise deployments.

OmniSteward is a modular AI agent orchestration platform built on Python that connects to OpenAI, local LLMs, and supports custom models. It provides memory modules to store context, toolkits for API calls, web search, code execution, and database queries. Users define agent templates with prompts, workflows, and triggers. The framework orchestrates multiple agents in parallel, manages conversation history, and automates tasks via pipelines. It also includes logging, monitoring dashboards, plugin architecture, and integration with third-party services. OmniSteward simplifies creating domain-specific assistants for research, operations, marketing, and more, offering flexibility, scalability, and open-source transparency for enterprises and developers.