LangGraph, CrewAI, and OpenAI Agents SDK are among 10 agentic AI frameworks highlighted for 2026, offering developers tools for state management, multi-agent workflows, and tool integration. The list,…
Microsoft's Foundry Agent Service reaches general availability in July 2026, offering hosted AI agents with per-session VM-isolated sandboxes and scale-to-zero pricing. The service supports multiple a…
Researchers have demonstrated that compiling agentic workflows into the weights of small fine-tuned language models achieves near-frontier quality at two orders of magnitude less cost, addressing thre…
Focused Labs argues that approval queues are the essential runtime for agentic AI workflows, enabling agents to pause execution, persist state, and resume after human review. The post details how Lang…
Snowflake and OpenAI released new tools for AI agent orchestration in customer support, enabling systems to route queries to specialized agents or escalate to humans. The OpenAI Agents SDK, released i…
PrismorSec released immunity-agent, an open-source control plane for AI agents that intercepts tool calls to enforce policies, audit actions, and prevent six common failure modes including overpermiss…
A developer breaks down the five essential components of production-grade AI agents: planning, tool use, memory, constraints, and verification. The post argues that agent failures stem from workflow d…
A developer published a side-by-side comparison of 15 AI agent frameworks, filtering by use case (RAG, multi-agent, structured output) and language (Python, TypeScript, .NET), updated weekly. The comp…
GluonDB has developed a method to securely serve a large fleet of persistent agents on a small infrastructure footprint by decoupling orchestration, filesystem, and sandboxed execution. The company ar…
A developer compiled a list of the 12 best frameworks for building AI agents in 2026, including LangGraph, LangChain, CrewAI, AutoGen, OpenAI Agents SDK, Semantic Kernel, PydanticAI, LlamaIndex, and H…
A new free eBook titled 'Building Pragmatic AI Agents That Use Tools and APIs' provides a practical guide to constructing production-grade AI agents, covering five frameworks including DSPy and OpenAI…
LangChain agents built on LangGraph use a tool-calling loop until a final answer is returned. The high-level createAgent function accepts a model, tools defined with tool(), and an optional system pro…
LangChain.js provides a standardized framework for building LLM applications in TypeScript and Node.js, enabling developers to compose prompts, models, tools, and retrievers into reusable pipelines an…
Valta has built a tool that enforces hard spending limits inside AI agents, blocking LLM calls before they exceed budget rather than relying on reactive account-level caps. The tool integrates nativel…
OpenAI released SchemaFlow, an AI-assisted database change workflow using the OpenAI Agents SDK, which converts natural-language requests into structured JSON, performs impact analysis, generates SQL,…
A developer building Armorer argues that agent frameworks like LangGraph, CrewAI, and AutoGen create workflows but fail to provide operational visibility. Armorer is a local control plane that generat…
A new audit of three dominant agentic AI frameworks—LangChain, AutoGPT, and OpenAI Agents SDK—found that none provide native compliance with six essential safety principles for public-facing deploymen…
A security practitioner writing on DZone and syndicated by ITSecurityNews on June 5, 2026, built a Python "firewall" prototype to defend large language model pipelines against prompt injection. The au…
In 2026, developers have four distinct paths for building AI agents, moving beyond the 2025 default of building from scratch. The choice depends on whether a team needs full ownership of the stack, ca…
A developer built a cautious first-generation developer agent using the OpenAI Agents SDK that reads GitHub issues, inspects codebases, creates implementation plans, suggests tests, and generates pull…