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AI Agents

AI agents are software systems that use reasoning, planning, and tools to assist or automate complex tasks. We compare the top open-source and commercial agents.

Explore AI Agents

Compare Best AI Agents in Customer Service

AI AgentsMay 27

AI agents powered by large language models (LLMs) can respond to customer queries in natural language, interpret context, and generate human-like responses. These agents can process and synthesize large volumes of information from sources such as knowledge bases. We compiled four customer service AI agents: Tidio Lyro, Microsoft Azure AI Chatbot, IBM Watsonx Assistant, and Intercom Fin.

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AI AgentsMay 26

Agentic CLI Benchmark: Codex Wins, Kiro Fastest

Agentic CLI tools are AI coding tools that can create and delete files, run commands, plan, and execute the coding of the entire project.

AI AgentsMay 26

Large Action Models: Hype or Real?

Following the launch of Rabbit, an AI device that can use mobile apps, the term large action models (LAMs) is getting popular. These models move beyond conversation by turning LLMs into “agents” that can connect the siloed, app-driven world without requiring users to click on apps or integrate APIs.

AI AgentsMay 25

30+ Industrial AI Agents to Watch

Industrial AI agents address the limitations of siloed data by autonomously integrating and deriving actionable insights from IoT, controls systems (e.g. SCADA), and connected assets.

AI AgentsMay 22

Agentic LLM Benchmark: Leading Models Compared

We benchmarked the top Large Language Models (LLMs) across 10 software development tasks by using an agentic CLI tool. We executed ~3,500 automated validation steps per model across both API and UI layers. Agentic LLM benchmark results Each alias ran 3 times across 10 tasks (30 samples per alias, 230 cells per iteration).

AI AgentsMay 22

AI Agent Performance: Success Rates & ROI

Recent research reveals that AI performance follows predictable exponential decay patterns, enabling businesses to forecast capabilities and differentiate between costly failures and successful ROI-generating implementations. I oversaw 12 AIMultiple benchmarks, including nearly 70 AI agents across more than 1,000 tasks.

AI AgentsMay 22

AI Agent Traps: 20 Real-Life Incidents

AI agent adoption has outpaced AI agent security: 82% of enterprises now deploy agents, but only 44% have policies to secure them, and one in five organizations has already experienced an agent-related breach.

AI AgentsMay 22

Agentic AI for Cybersecurity: 10 Use Cases & Examples

Agentic AI refers to AI systems that combine models like large language models (LLMs) with automated workflows, tool integration, and decision support. These systems assist security teams in SecOps and AppSec by analyzing alerts, automating routine tasks, and supporting investigative work. Agentic AI tools generally operate under human oversight.

AI AgentsMay 20

Building AI Agents with Composable Patterns

We spent 3 days experimenting with workflows and agent pipelines in n8n, following Anthropic’s and OpenAI’s guides on building effective AI agents.

AI AgentsMay 14

Best 50+ Open Source AI Agents Listed

Everyone has been building AI agents so after hands-on testing with popular AI coding agents, AI agent builders and tools use benchmarks to evaluate their real-world capabilities, we put together a curated list of the best 50+ open source AI agents.

AI AgentsMay 12

Top 8 Agentic CRM Platforms in 2026

Customer relationship management tools are getting smarter. Instead of just storing data, agentic CRM platforms can plan tasks, execute workflows, and adjust strategies autonomously. Think of them as CRM systems with built-in intelligence that actually do the work instead of waiting for you to click buttons.