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Agentic AI Framework Benchmarks & Performance

Agentic AI frameworks enable autonomous decision-making and task execution by integrating planning, memory, and adaptive behavior into AI systems. We analyze emerging architectures, real-world use cases, and implementation strategies to help enterprises harness agentic AI for scalable, intelligent automation.

GitHub Stars of Open-Source AI Agent Frameworks

We collected GitHub stars of popular open-source AI agent frameworks over the years.

Agentic Frameworks Benchmark

We benchmarked five popular open-source agentic frameworks by comparing their latency and completion token usage across various data analysis tasks.

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Explore Agentic AI Framework Benchmarks & Performance

Top 16 AI Agent Observability Tools: Langfuse, Arize & More

Agentic AI FrameworksAug 25

After diving into documentation, reading user reviews, and spending hours with demos of AI popular observability tools for AI agents, I categorized these platforms into three tiers based on their primary functions: Core observability features See core observability features explanation.

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Agentic AI FrameworksJul 30

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.

Agentic AI FrameworksAug 12

Agentic AI n8n Tutorial in 2025

We built an AI agent within n8n designed to provide investment advice, showcasing the platform’s capabilities for agentic AI. This process involved configuring the agent to perform technical and fundamental stock analysis by integrating 5 distinct tools and pulling financial data from various APIs.

Agentic AI FrameworksAug 19

Multi-Agent Communication with Google's A2A in 2025

Agent2Agent (A2A) Protocol is an open standard for communication and collaboration between AI agents.Though it’s new, it’s gaining attention, especially since it works well with MCP, which is becoming the industry standard. A2A is expected to become the go-to protocol for multi-agent communication.

Agentic AI FrameworksJun 12

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.

Agentic AI FrameworksJul 25

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.

Agentic AI FrameworksAug 22

Compare 50+ AI Agent Tools in August 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.

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