Agentic AI Frameworks
Top 5 Open-Source Agentic Frameworks in 2025
I reviewed several popular open-source AI agent frameworks. In this article, I break down each framework’s multi-agent orchestration capabilities, agent and function definitions, memory handling, and human-in-the-loop support—exploring how each one operates and how easy it is to get started.
Agent2Agent (A2A) Protocol and Its Importance in 2025
As businesses increasingly deploy AI agents across their workflows, one challenge becomes clear: agents often struggle to coordinate with one another. This limits their ability to execute multi-step, cross-functional tasks without human intervention. To address this, various protocols have been developed, and Agent2Agent (A2A) is one of these protocols.
Multi Agent Systems: Applications & Comparison of Tools
Multi-agent systems(MAS) enable distinct AI agents to work together to achieve complex objectives. Every AI agent in the system possesses its specific characteristics and responsibilities that contribute to a greater goal. MAS provides a distinctive approach to managing multi-step tasks and enhancing efficiency.
Compare 20+ AI Agent Builders in 2025
After reviewing the documentation and spending several hours tinkering with these AI agent builders, we listed the best open-source frameworks and low-code/no-code platforms. To highlight AI agent builder use cases we provided a tutorial on building a product expert agent with CrewAI.
Compare 50+ AI Agent Tools in 2025
Over the past few months, we have been conducting AI coding and tools use benchmarks to test the real-world capabilities of popular AI agents.