Agentic AI

OpenAI GPT-Realtime-2.1 is a speech-to-speech reasoning model for building low-latency voice agents with configurable reasoning effort, 128K context, tool calling, and multi-agent handoffs. Unlike chained ASR-LLM-TTS arc...

OfficeCLI is an open-source command-line tool that reads, edits, and creates Microsoft Word, Excel, and PowerPoint files without requiring Microsoft Office, COM automation, or any cloud API. It wraps python-docx, openpyx...

Phoenix Purple is a graph-native AI agent security scanning platform developed by NVIDIA and released on July 7, 2026. It integrates with NVIDIA Morpheus and NeMo Guardrails for compositional vulnerability analysis. The...

Chrome WebMCP is Google's proposed web standard, announced at Google I/O 2026, that gives AI agents a structured, machine-readable interface to websites. Instead of scraping DOM text or running fragile visual selectors,...

Vercel Eve vs LangGraph vs Genkit Agents compares three fundamentally different approaches to building AI agents in 2026. Eve is the filesystem-first framework (directory of Markdown and TypeScript files). LangGraph is g...

OfficeCLI is an open-source, single-binary command-line tool that lets AI agents read, edit, and create Word, Excel, and PowerPoint files without Microsoft Office installed. It operates on native .docx, .xlsx, and .pptx...

Chrome WebMCP is a proposed open web standard announced at Google I/O 2026 that lets websites expose structured tools to browser-based AI agents. Instead of scraping DOM text or running fragile visual selectors, agents s...

Phoenix Purple is an engineering-first app security platform purpose-built for AI coding agents. Launched GA on July 7, 2026, it uses graph-native code intelligence to scan AI-generated code at 10-33x lower token cost th...

Learn to build self-funding AI agents with Trust Wallet Agent Kit. Non-custodial wallets, ERC-8004 identity, x402 payments, and policy-based spending across 30+ chains.

Anthropic's 1.2 million Cowork sessions reveal 33.4% of usage is business operations not software development. What this means for enterprise AI deployment and ROI.

Compare FileAI, Unstructured.io, and LlamaIndex for zero-shot document extraction in AI agent pipelines. Accuracy benchmarks, API costs, MCP support, and enterprise readiness.

Compare GenericAgent (13K stars, 3K lines), Nanobot (45K stars), and AutoGPT for self-evolving AI agents. Benchmarks, token efficiency, skill tree vs plugin architecture.