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AI Agent Roundup — July 28, 2026

Here are today's most interesting finds from across the AI agent ecosystem.

1. Designing Skill-Driven Financial Analysis Agents with Claude, Python, MCP Connectors, and Automated Deliverables

In this tutorial, we build an advanced workflow around Anthropic’s financial-services repository and reproduce its skill-driven architecture in pure Python. We begin by installing the required librari

Read more: Original article

2. Perplexity Releases pplx, a Single-Binary CLI That Puts Its Search API in the Terminal for Coding Agents

Perplexity has released pplx, an official command line client for its Search API. The tool exposes two commands — pplx search web and pplx content fetch — and returns exactly one JSON object on stdout

Read more: Original article

3. Kimi AI and kvcache-ai Open Sources ‘AgentENV’: A Distributed System that Powers Agentic Reinforcement Learning (RL) Training for Kimi K3

Moonshot AI's Kimi team and kvcache-ai open-sourced AgentENV (AENV) under MIT, as part of Kimi K3 Open Day. It runs agent sandboxes as Firecracker microVMs with millisecond snapshot, resume, and 16-wa

Read more: Original article

4. Anthropic wants tests, not bans, as OpenAI and Google back open weights

Anthropic does not want open-weight AI models banned. CEO Dario Amodei said so plainly today after a week of criticism. The post Anthropic wants tests, not bans, as OpenAI and Google back open weights

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5. The 24-hour experiment that helped Anthropic find its identity

If you’re building traditional software, you write the product requirements document. If you’re building frontier AI, you run an evaluation. The post The 24-hour experiment that helped Ant

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