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.
Best 17 AgentOps Tools: AgentNeo, Langfuse & more
AgentOps is emerging as a key discipline in IT operations, focusing on the deployment, management, and optimization of autonomous agents. Today, I will introduce AgentOps and the leading tools shaping it as a new discipline within IT operations.
Agents.md: The README for Your AI Coding Agents
This guide introduces AGENTS.md, an open specification changing how AI agents interact with software projects. Unlike traditional README.md files, which are written for humans and often leave gaps, AGENTS.md provides clear, machine-readable instructions that both people and AI agents can follow with precision.
Building a No-Code AI Lead Generation Workflow with n8n
I have been reviewing popular AI sales agents, including AiSDR and Outreach.io. While these platforms support lead management, they are typically focused on broader sales engagement and delivered as commercial packages with costs ranging from $2K to $5K per user per month.
AI Agent Security: 7+ Tools to Reduce Risk
As AI agents gain autonomy, they introduce new risks, ranging from prompt injection to unauthorized access. Security is a critical aspect of AI agents; we cover AI agent security and highlight the tools designed to address it.
Best AI Agents for Workflow Automation
We researched the leading AI agent platforms for workflow automation, analyzing their documentation, feature sets, integration capabilities, and publicly available customer implementations. There are 4 ways to implement AI agents for workflow automation. Top 10 AI Agents for Workflow Automation *Starting price per month ** Reviews are based on Capterra and G2.
AI Agents for Competitive Intelligence: Tools and Applications
The competitive intelligence landscape is shifting rapidly. MarketsandMarkets projects the global AI agent market will grow from USD 5.1 billion in 2024 to USD 47.1 billion by 2030, at a CAGR of 44.8%. Traditional methods, quarterly reports, and manual research are being replaced by AI agents that continuously track competitors, delivering insights in real-time.
Agentic CLI Tools Compared: Claude Code vs Cline vs Aider
Explore top free and open-source agentic CLI tools that offer LLM integration, prompt chaining, and code editing capabilities, all within a terminal-based workflow. [aim_list] AI coding tools can generally be grouped into three categories: What are CLI-based coding agents? CLI-based coding agents are conversational, prompt-driven AI tools that operate entirely in the terminal.
Agentic AI for Cybersecurity: Real life Use Cases & Examples
Agentic AI for cybersecurity functions as an autonomous decision-maker for SecOps and AppSec. It can take proactive actions, automate software development processes, or automate pentesting. For example, AppSec AI agents like Aptori can integrate into your IDE and CI/CD pipeline to run automated pentests to identify if your APIs are free from vulnerabilities.
10 AI Coding Challenges I Face While Managing AI Agents
From what I have observed, AI agents are particularly helpful during the exploratory phases of work, assisting with implementations or outlining potential approaches. However, they fall short in contexts that require consistent judgment or strategic reasoning. Below, I outlined the most common AI coding challenges. Click the links to jump to each section: [aim_list] 1.
Mobile AI Agents: Tools & Use Cases
At AIMultiple, we focus on developing and assessing Generative AI technologies such as custom GPTs, AI agents, and cloud GPU solutions. Another emerging area of interest is mobile AI agents. We focus on what modern mobile AI agents are, how they work, and the tools enabling them.