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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

AIM-Code Bench: Agentic Coding Benchmark

AI Agents
Benchmark
Sep 22

Evaluating LLMs without their coding-agent harnesses does not fully reflect how they are used in practice. Real development also involves extending existing work, taking over unfamiliar code, and leaving implementations that others can build on. We introduce AIM-Code Bench to evaluate models together with their coding-agent harnesses across evolving software tasks. Beyond correctness, the benchmark…

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Agentic Web
Benchmark
Sep 21

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…

AI Agents
Benchmark
Sep 21

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. See what each benchmark measures and where limits remain: Computer use agents interact with a…

Agentic Web
Sep 21

AIM Agentic Web Benchmark

Agents rely on web interfaces to complete tasks on the web. To measure how interface choice affects task completion, we built the AIM Agentic Web Benchmark and attempted 3,500 tasks (100 tasks completed via 7 web interfaces across 5 runs). A Bright Data interface led every run. The Bright Data CLI retrieved 8 more tasks…

AI Agents
Sep 21

Agent benchmarks

Agent benchmark

AI Agents
Benchmark
Sep 21

Mobile AI Agents Tested Across 65 Real-World Tasks

We spent 3 days benchmarking four mobile AI agents (DroidRun, Mobile-Agent, AutoDroid, and AppAgent) across 65 real-world tasks using an Android emulator with applications such as calendar management, contact creation, photo capture, audio recording, and file operations. See benchmark results including real-world performance comparison, costs and execution times: Highest success rate (43%) with high cost…

AI Agents
Benchmark
Sep 17

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
Open World Evaluation
Sep 17

Top Agentic CRM Platforms

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…

Agentic Web
Benchmark
Sep 17

Top 4 AI Search Engines Compared

Searching with LLMs has become a major alternative to Google search. We benchmarked the following AI search engines to see which one provides the most correct results: Deepseek is the leader of this benchmark, by correctly providing 57% of the data in our ground truth dataset. You can also read our AI deep research benchmark…

Agentic Finance
Benchmark
Sep 15

Top 15+ AI Financial Research Platforms for Investors

Despite thousands of available financial research tools, many investors struggle with fragmented data, time-consuming manual analysis, and limited predictive insights. AI financial research platforms use natural language processing and advanced analytics to cut research time from hours to minutes. See the top AI financial research solutions with their main services, prices and use-cases: Our experience:…

AI Agents
Insight
Sep 15

AI Agent Vulnerability with 192 Real-life Incidents

Understanding how AI agent vulnerability makes systems fail, whether through security exploits, guardrail breakdowns, or data exposure, has become critical as these systems take on increasingly autonomous roles in business workflows. To map the real-world risk landscape of AI agents, we reviewed 192 documented vulnerability incidents spanning March 2016 to May 2026, drawing on sources.…