Microsoft consolidated its AI developer tools into a single Agent Framework, reaching general availability in early 2026. The move ends debates between Semantic Kernel, AutoGen, and Foundry, providing…
A developer built an autonomous AI health agent using AutoGen, LangGraph, and Node-RED that monitors HealthKit data and proactively adjusts meal plans. The system deploys three agents—a Health Monitor…
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 …
Microsoft settled the agent framework debate by introducing the unified Agent Framework, moving Semantic Kernel and AutoGen into maintenance mode, and reaching version 1.0 general availability in Apri…
Kalytera, an AI agent observability platform, automatically evaluates every step of an agent's workflow in real time and surfaces plain-English root causes for failures, catching issues that sampled o…
Databricks open-sourced Omnigent, a meta-harness that provides a single control plane for governance, cost, and cross-device collaboration across existing AI agent runtimes, on June 16 under Apache 2.…
Microsoft's AutoGen multi-agent framework has a hidden token tax that causes costs to scale quadratically with the number of turns, not linearly. An audit reveals that each agent's default unbounded m…
A developer compares LangGraph, CrewAI, Microsoft Agent Framework, and n8n for building AI agents, recommending LangGraph for fine-grained control over agent state and retries, CrewAI for modeling spe…
Microsoft has merged its AutoGen multi-agent framework into Semantic Kernel to create the Microsoft Agent Framework, released in October 2025. AutoGen is now in maintenance mode, receiving only securi…
Traccia SDK, an open-source execution evidence layer for AI agents, has been released under the Apache 2.0 license. The tool records autonomous agent behavior to make it provable, reproducible, and au…
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…
Microsoft released a public preview of its Agent Framework for Go on July 10, bringing production-grade AI agent development to Go developers for the first time. The Go SDK supports tool calling, mult…
Tkngate v2.5.0, an open-source zero-trust P2P gateway for LLM agents written in Go, introduces cross-node prompt routing with hard USD circuit breakers, ZK-SNARK AI-WAF attestations, and a P2P encrypt…
Orka, a policy checkpoint tool for AI agents, intercepts actions before execution to prevent runaway loops, budget overruns, and dangerous operations, logging everything to a tamper-evident ledger. Th…
Octopoda, an open-source memory and observability layer for AI agents, launched with built-in persistent memory, loop detection, audit trails, and a live dashboard that runs locally via a single pip i…
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…
This week highlighted the gap between building AI agents and running them safely in production, with supply-chain and trust-boundary failures in GitHub and Mastra alongside Microsoft's production-grad…
Amazon Bedrock AgentCore, which crossed 2 million SDK downloads in its first five months and reached general availability across core components in Q1 2026, is AWS's managed infrastructure platform fo…
A developer demonstrates how to build a simple AI agent using Claude Code in 30 minutes, focusing on a goal-tool-observation-decision loop without a framework. The walkthrough emphasizes the importanc…
A developer built ATC (Agent Trust Card), a system that provides AI agents with cryptographic identity, security audits, encryption, protocol translation, and autonomous payments. ATC aims to solve th…