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.
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. The line between hype and reality…
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…
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…
Top 30+ Agentic AI Companies
Though AI agents are being hyped and some companies rebrand their chatbots as agentic tools, there are still a few agents in production. Previously, we benchmarked several capable AI agents over several real-world tasks. We listed: These companies primarily focus on agentic AI research and development, offering initiatives like ethical AI guidelines and environments for…
Agentic AI Finance Benchmark: FinRobot vs FinRL vs FinGPT
79% of executives report that their companies have started adopting AI agents, yet 34% are currently using them in accounting and finance.37 We conduct a benchmark on 3 agentic AI finance tools tailored for financial workflows. Results suggest that We present benchmark results alongside use cases and implementation challenges. The findings highlight several important patterns:…
Top 15 Accounting AI Agents
Tools like Dext, AutoEntry, and Hubdoc have automated data extraction and transaction posting. But these systems are fundamentally still rule-based, often requiring accountants to jump between spreadsheets. Thus, after reviewing the documentation and watching demos, we picked the top 15 AI-based accounting agents: These web-based ERP frameworks can be used for bookkeeping and integrated with…
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.…
Agentic Search in 2026: Benchmark 8 Search APIs for Agents
Agentic search plays a crucial role in bridging the gap between traditional search engines and AI search capabilities. Search APIs are the first layer of an agentic tool, where performance caps the quality of everything downstream. We benchmarked 8 search APIs across 100 real-world AI/LLM queries, evaluating 4,000 retrieved results with an LLM judge that…
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…
Oracle AI Agents: Top 15 Use Cases & 5 Benefits
72% of companies deploying AI solutions.79 Oracle leverages AI agents combining large language models, natural language processing, and retrieval-augmented generation (RAG). Explore Oracle AI agents, their use cases, and benefits: OCI generative AI agents is a fully managed service that integrates large language models (LLMs) with an intelligent retrieval system. It is designed to provide…