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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

Top 9 Agentic CRM Platforms

AI Agents
Open World Evaluation
Sep 4

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 users to click buttons. We focused on platforms that actually work in real…

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AI Agents
Benchmark
Sep 3

AI Agents in Customer Service Compared

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…

AI Agents
Feature Comparison
Sep 3

OpenClaw Alternatives: Hermes vs ZeroClaw vs Grok Bot

Autonomous AI agents, such as OpenClaw and Hermes agent, automate multi-step tasks that would normally require constant human input. While OpenClaw has become the most widely adopted always-on autonomous agent, many users are seeking alternatives due to its challenging deployment process and complex configuration requirements. We provide 5 leading OpenClaw alternatives, highlighting their key capabilities…

Agentic Finance
Benchmark
Sep 3

AI-Based Stock Trading: Which Gen AI Tool Is Better

LLM tools have been used in AI-based stock trading since their emergence.29 I tested 20 generative AI models on a single, hard forecasting task: predict the 3-day cumulative abnormal return (CAR) of 132 stocks after an unexpected event, using only the firm-level information supplied in the prompt. For further details on the benchmark, read the…

AI Agents
Insight
Sep 1

AI Agent Sprawl Signs & Checklist to Manage Sprawl

Nearly 80% of organizations have deployed agentic AI.33 Yet only 21% have a mature governance model for these systems. The gap shows up in practice as agent sprawl, a buildup of redundant, ungoverned, and conflicting AI agents across the business. 40% of agentic AI projects is estimated to fail by 2027 due to weak governance…

AI Agents
Open World Evaluation
Sep 1

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. Below is a categorized review of over 30 key vendors offering AI agent platforms and tools: To explore each section and discover the relevant vendors, tools, platforms, capabilities, and focus…

Agentic Web
Open World Evaluation
Sep 1

Best 30+ Open Source Web Agents

We tested 30+ open-source web agents across four categories: autonomous agents, computer-use controllers, web scrapers, and developer frameworks. We ran identical benchmarks using the WebVoyager test suite, which covers 643 tasks across 15 real websites, to measure which tools actually complete multi-step web tasks and which fail when sites use dynamic dropdowns or JavaScript-heavy layouts.…

AI Agents
Open World Evaluation
Sep 1

15 AI Agents in Marketing Tools & Examples

Research shows that 50% of organizations using generative AI plan to launch agentic AI pilot programs.59AI agents in marketing introduce systems that can reason, make decisions, and act with minimal human oversight. These intelligent agents analyze customer data, generate actionable insights, and coordinate campaigns across multiple platforms in real-time. We evaluated the top 15 AI…

AI Agents
Insight
Sep 1

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. Explore the core AI agent components, how to choose the right components and tools, in addition to building agent workflows based on Anthropic’s simple, composable patterns such as prompt chaining, routing, parallelization, orchestrator…

AI Agents
Benchmark
Aug 31

Computer Use Agents: Benchmark & Architecture

Computer-use agents operate real desktops and web apps. Their designs, limits, and trade-offs are often unclear. We break down how leading systems work, how they learn, and how their architectures differ. We also reference a focused UI-grounding benchmark on 100 desktop screenshots, across 4 task types and 5 runs per sample. It isolates the quality…

Agentic Web
Benchmark
Aug 31

Remote Browsers: Web Infra for AI Agents Compared

AI agents rely on remote browsers to automate web tasks without being blocked by anti-scraping measures. The performance of this browser infrastructure is critical to an agent’s success. We benchmarked 8 providers on success rate, speed, and features. To do this, we executed 160 automated tasks, running 4 distinct scenarios 5 times for each service…