Laserbrain launches an adaptive recursion harness that provides a fixed reference for AI agents to check against each step, preventing drift and loops. The system uses four drift signals and a single …
An engineer details the architecture of production-ready Agentic AI systems, explaining that autonomous agents require a brain (LLM), tools, memory, and a goal to function reliably. The post covers th…
SafeAI, an open-source static analysis tool for AI agent source code, scans for security risks, capability exposure, and governance gaps without executing agents or calling LLMs, integrating into CI/C…
Vercel published an OpenAI Agents SDK with FastAPI template on July 17, 2026, but a developer warns that the template is not production-ready until task ownership is enforced across every layer. The d…
A developer explains that multi-agent orchestration becomes necessary when a task naturally decomposes into sub-tasks requiring different context, tools, or roles. The post covers production patterns …
Suhas Bhairav released an open-source gallery of 50 AI starter templates built with Next.js and OpenAI, including tools for analytics, chatbots, RAG, voice agents, and image generation. The collection…
LoopGain, an open-source cost controller for AI agent loops, replaces fixed max_iterations with a control-theoretic stop-and-rollback policy, achieving 92.8% less API spend and ~15× faster median wall…
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…