Here is your today’s AI Dev Brief from Marktechpost, covering core research, models, infrastructure tools, and applied updates for AI developers and researchers. Also, don’t forget to register for NVIDIA GTC 2026 event (In person/Virtual). NVIDIA has been supporting us to bring free and unlocked AI research and dev news content to you.
Composio Open Sources Agent Orchestrator to Help AI Developers Build Scalable Multi-Agent Workflows Beyond the Traditional ReAct Loops
Composio has open-sourced Agent Orchestrator, a framework designed to move AI development beyond fragile "Reason + Act" (ReAct) loops and into the era of structured, production-grade workflows. By decoupling high-level task decomposition (The Planner) from technical API interaction (The Executor), the framework addresses the primary bottlenecks of modern agents: context overload, tool selection noise, and state fragmentation. For AI engineers and data scientists, this provides a resilient, stateful architecture that dynamically manages tool access and includes built-in error recovery, allowing for the coordination of complex, multi-agent systems across 100+ integrated tools with the reliability of traditional software....… Read the full analysis/article here.

Google DeepMind Researchers Apply Semantic Evolution to Create Non Intuitive VAD-CFR and SHOR-PSRO Variants for Superior Algorithmic Convergence
Google DeepMind researchers have introduced AlphaEvolve, an evolutionary framework that leverages Large Language Models (LLMs) to automatically discover novel Multi-Agent Reinforcement Learning (MARL) algorithms by performing "semantic evolution" on interpretable source code. This system successfully evolved two state-of-the-art variants: VAD-CFR, which utilizes volatility-sensitive discounting and a hard warm-start schedule to outperform established regret minimization baselines , and SHOR-PSRO, a population-based solver that blends Optimistic Regret Matching with a smoothed best-strategy distribution to accelerate convergence. By shifting from manual heuristic design to automated symbolic discovery, AlphaEvolve uncovers non-intuitive algorithmic mechanisms—such as dynamic annealing schedules and sign-dependent boosting—that effectively manage the transition from exploration to exploitation in complex extensive-form games....… Read the full analysis/article here.
Latest Releases in Last 72 Hours
Agent Orchestrator (Composio)
CellType CLI (Cell Type)
Hugging Face Skills (Hugging Face)
DetectFlow (SOC Prime)
Jules-CI Fixer (Google)
Hono v4.12.0 (Hono)
Project Notebooks/Tutorials
▶ Meet CopilotKit: Framework for building agent-native applications with Generative UI, shared state, and human-in-the-loop workflows Codes
▶ How to Build a Production-Grade Customer Support Automation Pipeline with Griptape Using Deterministic Tools and Agentic Reasoning Codes Tutorial
▶ A Coding Guide to Instrumenting, Tracing, and Evaluating LLM Applications Using TruLens and OpenAI Models Codes Tutorial
▶ How to Design a Swiss Army Knife Research Agent with Tool-Using AI, Web Search, PDF Analysis, Vision, and Automated Reporting Codes Tutorial
▶ How to Design an Agentic Workflow for Tool-Driven Route Optimization with Deterministic Computation and Structured Outputs Codes Tutorial