Tag
SPL (Structured Prompt Language) is a declarative language that unifies deterministic and probabilistic computation modes for LLM workflows, enabling specification of computations that run across local and cloud nodes. It includes an extensive cookbook and experimental validation.
PRECEDE is a precedent-guided co-scientist for side-effect-aware drug redesign that frames drug modification as evidence-grounded reasoning over drug–side-effect associations and biomedical knowledge graphs, coordinated by an LLM orchestrator with human oversight.
The author argues that chat-first AI tools are insufficient for building autonomous agent workflows and describes alternative primitives like scheduled triggers and sub-agent delegation, advocating for a paradigm shift from 'chat with tools' to 'autonomous processes that use LLMs'.
The author shares a practical 4-tier LLM routing stack for agent work, where a fast orchestrator handles most requests and only escalates to expensive models when deep reasoning is required, significantly improving cost and interactivity.
A technical teardown of how multi-agent frameworks like CrewAI and AutoGen actually route information under the hood, revealing that they are essentially automated prompt-chaining loops. The article explains why agents get stuck in infinite loops due to context window inflation and missing deterministic stop conditions, offering practical advice for builders to treat agents as functional programming functions instead of human collaborators.
SciOrch presents an 8B vision-language model trained with MCTS to coordinate multiple expert LLMs for multimodal scientific reasoning, achieving superior performance while reducing API costs.
InfraMind introduces an infrastructure-aware multi-agent LLM orchestration framework that uses reinforcement learning to dynamically select models and topologies based on real-time system load, achieving up to 7x lower latency and 99.9% SLO compliance under high load.
BotCircuits Agent is an open-source framework that introduces a Workflow-native Agent Loop architecture, splitting deterministic state-machine navigation from targeted LLM execution to reduce deviations and token costs.
Anthropic quietly shipped /workflows in Claude Code, replacing LLM orchestrators with code-based control flow to avoid token tax and context sloppiness.
The article critiques the overuse of the term 'multi-agent orchestration,' arguing that many implementations are simply single agents using function calls rather than true distributed systems. It highlights practical, production-tested patterns like sequential pipelines and human-in-the-loop workflows as alternatives to complex but ineffective architectures.
A developer highlights an AI workflow using Hermes Agent as an orchestrator and Codex as a builder for automated tasks.
OpenGUI is an open-source AI phone control system that lets AI autonomously operate real Android devices to carry out long-running mobile tasks such as social media management and research. It supports remote task dispatching via Lark, Telegram, Discord, or REST API. Its underlying architecture is split into two layers — a Plan Supervisor and an Executor Graph — and supports multiple models including Claude, Qwen, and Doubao.
A lightweight pattern for orchestrating conversations between multiple AI agents (Claude, Codex, Gemini) via CLI without requiring API payments, using session resumption to maintain context across agent interactions.
AgentSPEX introduces a domain-specific language for specifying modular, interpretable LLM-agent workflows with explicit control flow, state management, and a visual editor, outperforming existing Python-coupled frameworks.
Council of High Intelligence is an open-source tool that orchestrates 18 AI personas from multiple LLM providers to deliberate on hard decisions, providing structured disagreement and multi-perspective analysis via a single command.