Browsing: Agentic

In 2026, enterprise agentic AI has moved from pilot budgets to production commitments. Salesforce is closing Agentforce deals at 29,000 since launch with $800M ARR. Microsoft…

TOOLS = { “calc”: lambda expression: _safe_calc(expression), “kb_search”: lambda query, k=3: _kb_search(query, int(k)), “extract_json”: lambda text: _extract_json(text), “write_file”: lambda path, content: _write_file(path, content), } TOOL_SCHEMAS =…

  # Introduction  Agentic AI systems depend on a model’s ability to reliably call tools, selecting the right function, formatting arguments correctly, and integrating results into multi-step…

What you need to knowReports regarding Meta’s AI outlook in 2026 suggest there are plans to debut an agentic AI bot on Instagram that can shop…

Inference efficiency has quietly become one of the most consequential bottlenecks in AI deployment. As agentic coding systems such as Claude Code, Codex, and Cursor scale…

Most agentic applications today have a memory problem. Every time a user opens a new session, the agent starts from zero. There is no recollection of…

In this tutorial, we build a Groq-powered agentic research workflow that runs directly using Groq’s free OpenAI-compatible inference endpoint. We configure LangChain’s ChatOpenAI interface to work…

Projects are the bridge between understanding AI and actually building with it. While the last couple of years were dominated by generative models, the shift now…

The bottleneck in building better AI models has never been compute alone — it has always been data quality. Meta AI’s RAM (Reasoning, Alignment, and Memory)…

Image by Editor   # Introduction  The Agent Framework Dev Project is a community initiative providing hands-on, developer-focused training materials for building AI agents using modern frameworks…