AgentGauntlet, a new testing tool for AI agents, simulates real-world chaos like context drops, tool timeouts, and bad API data to evaluate agent resilience, reporting a 0% resilience score when an ag…
AWS developers choosing an agentic AI framework now have a clear set of architectural rules of thumb, according to a new guide. The guide compares Amazon Bedrock Agents, Strands Agents, LangGraph, and…
An engineer from tamiz.pro argues that the trust problem in AI agents stems from a structural mismatch between traditional software engineering and autonomous code generation, and proposes five archit…
Stagehand v4, released on August 10 by Browserbase, moves its core state tracking, CDP dispatch, and target management from the client into a browser extension, eliminating the stale mirror that cause…
A new guide outlines strategies for scaling AI revenue while controlling cloud costs, covering hardware accelerators from NVIDIA, Groq, and Cerebras, inference engines like vLLM and TensorRT-LLM, and …
A developer demonstrates how to build an AI agent in 10 minutes using OpenAI's function-calling API, emphasizing the importance of tool use. The agent loop, which allows the model to decide and act, i…
AgenticDome released agenticdome-python-sdk, an official Python SDK and middleware package that enforces deterministic security controls—prompt ingress, tool execution, agent-to-agent handoffs, and ou…
CrewAI launched Crew Studio, an Automated Agent Builder with native Arize AX tracing and evaluation integration, enabling teams to send traces from the first run without custom instrumentation. The in…
A new lossless wire format called a2acompress cuts token usage by 36.6% on real cl100k_base tokens for agent-to-agent handoffs, reducing 140,661 raw tokens to 89,235 full-cost tokens across 196 held-o…
A developer argues that AI agents should be designed around events rather than prompts, citing hiring processes as an example. The developer contends that an agent is the complete system that observes…
A developer built a production-shaped AI agent in about 150 lines of Python without using frameworks like LangChain or CrewAI, aiming to provide full traceability and control. The agent, which uses an…
Prism-Eval, an open-source unit testing tool for AI orchestrators, catches non-deterministic LLM tool call failures, prompt injections, and digit drops in local builds and CI/CD pipelines. The tool, w…
A developer explains the inner workings of AI agents, describing them as a loop of tool calls and context assembly. The post details how agents emit structured requests that are executed by a runtime,…
A developer explains that protocols are the critical but overlooked plumbing in multi-agent AI systems, defining shared contracts for communication that prevent failures when agents interact. The post…
A developer has formalized an agent governance framework using TLA+ and model-checked its safety invariants. The framework, available in the MAREF repo, uses Gray Code state machines to ensure every t…
A developer known as Jovancoding has released Network-AI, an open-source coordination layer designed to solve state synchronization issues in multi-agent AI systems. The tool implements a propose-vali…
A developer compares LangGraph, CrewAI, and Google ADK for building production AI agents, highlighting their different orchestration models. LangGraph emphasizes explicit graph-based stateful control,…
Superlinked released SIE, an open-source inference engine that serves 100+ models for agent tasks through one OpenAI-compatible API, replacing separate model servers per task. The engine supports sear…
Phinq, an open source runtime governance layer for AI agents, intercepts every agent tool call, classifies it by risk, holds irreversible actions for human approval, and records each decision in a tam…
Agentic AI architecture requires a database, not just a vector store, according to a blog post that outlines five layers—reasoning, tools, memory, state, and guardrails—and argues that vector search a…