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Top 10+ Agentic Orchestration Frameworks & Tools
79% of executives are already adopting AI agents, although 19% of firms struggle with coordination. They cannot manage agents across different applications. Agentic orchestration offers the solution. Explore agentic orchestration is, its patterns, and the top frameworks that enable multi-agent collaboration.
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.
Best 17 AgentOps Tools: AgentNeo, Langfuse & more
We will introduce leading AgentOps tools, outline the challenges of operating agents and explain how an AgentOps automation pipeline can address them through observability, metrics, issue detection. How to think about AgentOps One of the hard parts of operating reliable agentic systems is making sure system behavior is observable and traceable at every step.
AI Identities: The Role of Agentic Systems in Governance
Agentic AI systems are rapidly emerging in enterprise environments. To govern them safely, each agent needs to be recognized as a first-class identity with its own credentials, permissions, and audit trail.
6 Best CAPTCHA Solving Services for Web Scraping
When automated processes encounter a CAPTCHA, they are typically halted, requiring human intervention to proceed. CAPTCHA solving services are designed to address the challenge of CAPTCHA resolution for automated tasks without direct human involvement in real-time.
Top AI Financial Research Platforms for Investors
Investors face a crowded landscape of financial research tools, but many still struggle with fragmented data, time-consuming manual analysis, and limited predictive insights. AI financial research platforms are filling these gaps by combining automation, natural language processing, and advanced analytics to deliver faster, deeper, and more actionable intelligence.
LLM Parameters: GPT-5 High, Medium, Low and Minimal
New LLMs, such as OpenAI’s GPT-5 family, come with different versions (e.g., GPT-5, GPT-5-mini, and GPT-5-nano) and various parameters, including high, medium, low, and minimal. Below, we explore the differences between these versions of the models by gathering their benchmark performances and the costs to run these benchmarks. Price vs.
Multi-GPU Benchmark: B200 vs H200 vs H100 vs MI300X
For over two decades, optimizing compute performance has been a cornerstone of my work. We benchmarked NVIDIA’s B200, H200, H100 and AMD’s MI300X to assess how well they scale for Large Language Model (LLM) inference. Using the vLLM framework with the meta-llama/Llama-3.1-8B-Instruct model, we ran tests on 1, 2, 4 and 8 GPUs.
12 Reasons AI Agents Still Aren't Ready
For all the bold promises from tech CEOs about AI agents “joining the workforce” and driving “multi-trillion-dollar opportunities,” the reality is far less inspiring. What we currently have are not autonomous agents, but glorified chatbots dressed in fancy packaging; mostly mimicking scripts. Give them the same task twice, and you’ll often get wildly different results.
Agentic AI Architecture for Industrial Systems
Agentic AI allows natural language interaction with industrial systems, enabling users to query data and receive actionable insights. We will outline a reference architecture designed for industrial environments, describe how task-specific agents and tools can be orchestrated. We will also explore current state of natural language interfaces (NLIs) in industrial systems.