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.
OpenClaw (Moltbot/Clawdbot) Use Cases and Security 2026
OpenClaw (formerly Moltbot and Clawdbot) is an open-source, self-hosted AI assistant designed to execute local computing tasks and interface with users through standard messaging platforms. Unlike traditional chatbots that function as advisors generating text, OpenClaw operates as an autonomous agent that can execute shell commands, manage files, and automate browser operations on the host machine.
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.
Top 17 AgentOps Tools: AgentNeo, Langfuse & more
AgentOps refers to tools and platforms for deploying, monitoring, and managing AI agents in production.
Agentic LLM Benchmark: Top 13 LLMs Compared
We benchmarked 13 LLMs across 10 software development tasks by using an agentic CLI tool. We executed ~300 automated validation steps per model to measure performance across both API and UI layers. Agentic LLM benchmark results Success rate comparison Claude 4.5 Sonnet and GPT-5.
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.
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.
Building a No-Code AI Lead Generation Workflow
AI sales agents promise automated prospecting and outreach, but most are bundled as full sales engagement platforms costing significantly once onboarding, data enrichment, integrations, and premium support are added. After reviewing leading AI SDR and lead generation tools and building hands-on workflows, I found that many teams need something simpler, more flexible, and more cost-effective.
Building Personal AI Agents + 18 Agent Platforms and Tools
We spent the two days experimenting with real-world demos and tools to build personal AI assistants that can handle your tasks, such as scheduling meetings, managing notes, or sorting through emails. We will dive into three main approaches to building and using personal AI assistants, with real-world examples for each: 1.
Top 10+ AI Agents in Healthcare with Examples
We previously explained healthcare AI use cases. We list AI agents for healthcare that automate clinical operations workflows. Explore AI agents in the healthcare industry, including tools used for general tasks, patient-facing support, and clinically assisted decision-making: AI agents in healthcare industry General-purpose healthcare agents These agents automate administrative and operational tasks (e.g.
Agentic CLI Tools: Codex vs Claude Code
Agentic CLI tools are AI coding tools that can create and delete files, run commands, plan, and execute the coding of the entire project.