orchestrator

A developer built an orchestrator that runs multiple Claude Code sessions in parallel and allows prompting from a mobile phone.

This article explains how to build a swarm of LLM agents with different expert roles that argue over a decision to reach a better conclusion, providing full Python code for the orchestrator, experts, and merge components.

The author shares lessons from building an agentic system at work, describing failures with a giant prompt, excessive tools, and dynamic sub-agents, and ultimately finding success with a fixed orchestrator and specialized child agents for each domain.

Orchestrator (Skill) is a router that works across harnesses, allowing a coding agent to call, manage, and delegate to other agents. It provides an operational plane for modeling agents and intelligently routes based on user preferences and token limits.

GPT-5.6 is being touted as a major leap forward as an orchestrator, capable of combining specialized models like Fable 5 advisor and Gemini 3.5 flash workers to solve complex problems autonomously.

Prometheus is a local-first AI assistant that uses an orchestrator model via Ollama to delegate tasks to specialized sub-agents, controlling browser, desktop, email, and more. The project is experimental and comes with a warning about security risks.

Guardian is an open-source SDLC orchestrator that transforms business intent into an enforcement pipeline, ensuring code matches architecture via a single .pi/ directory.

SupraLabs releases Supra-Router-51M, a tiny 51M parameter model for routing prompts to appropriate larger or smaller models, enabling low-latency orchestration. A companion dataset is also released.

Elie Bakouch critiques Sakana AI's Fugu system as a closed-source orchestration layer over closed-source models, arguing it lacks transparency and true AI sovereignty, with technical limitations in routing and cost efficiency.

The author built an orchestrator that treats AI agent outputs as claims rather than authority, preventing coding agents from bypassing validation and review gates.

Explains how to build dedicated agent profiles in Hermes Agent, allowing users to configure identity, skills, memory, and model, and enabling multiple profiles to work together via an orchestrator or Kanban board. A new dashboard profile builder simplifies the process.

Crew44 is a local-first orchestrator that turns coding agents like Claude Code and Codex into a coordinated team of specialists, each bound to its best model, with persistent memory and skill accumulation across sessions. It runs entirely on your machine with no cloud dependence and is free under MIT license.

A tweet describes the concept of gBrain as the company brain, an orchestrated system of AI agents organized into department verticals with specialist and sub-agents.

Duetchat introduces a kanban-based interface for managing multiple AI agents that listen to events and loop forever, controlled by a parent orchestrator.

A developer replaced Claude with Qwen3.6-27B in a multi-agent orchestrator for two weeks, finding it viable as a reasoning layer but unreliable for execution due to a 12% tool-call error rate and long-context drift.

Puppetmaster is an open-source super orchestrator that routes AI model tasks based on complexity, claiming up to 98% cost reduction by leveraging durable state architecture and switching between free-tier providers mid-query.

The article discusses how the Qwen3.6-35B-A3B model exhibits different failure modes when used as a sub-agent under an orchestrator compared to solo use, particularly due to its MoE architecture and the lack of validation layers, leading to undetected errors.

An open-source team found that by stripping the orchestrator of search permissions in a deep research system, forcing it to engage in high-level strategic thinking, Onyx surpassed Claude and ChatGPT on the DeepResearch Bench, becoming the strongest open-source deep researcher.

The article describes five key workflow patterns for building agentic AI systems in enterprise settings, as summarized by Anthropic: prompt chaining, routing, parallelization, orchestrator, and evaluator-optimizer, with tips to prefer simpler workflows before using full agents.

The Onyx open-source deep research system achieves top ranking by stripping search access from its orchestrator agent, forcing it to decompose queries into focused research threads. Its three-phase pipeline and two-level architecture prevent information distortion and premature answering, outperforming proprietary solutions from OpenAI, Anthropic, and Google.