Agent Orchestrator introduces dynamic workflows

// 3h agoPRODUCT UPDATE

Agent Orchestrator introduces dynamic workflows

Omar Sanseviero (@omarsar0) announced dynamic workflows for his AI agent orchestrator, providing a flexible framework that generalizes harnesses, automations, loops, routing, and execution graphs. The system enables runtime plan generation and multi-agent coordination, leveraging heterogeneous model backends such as Claude, Codex, Pi, and Hermes depending on specific task requirements.

// ANALYSIS

Dynamic workflows mark a key transition from static prompt chains and hardcoded DAGs to adaptive agentic orchestration systems.

–Unified Abstraction: Merging loops, harnesses, and graph routing into a single runtime layer removes the rigidity of fixed execution pipelines.
–Multi-Model Backends: Routing subtasks across distinct model backends (Claude, Codex, Pi, Hermes) optimizes cost, context window, and model strengths per node.
–Shift to Harness Engineering: Highlights how AI engineering value is rapidly shifting from prompt tuning to robust orchestrator and harness design.

// TAGS

agentagent-orchestratordynamic-workflowsllm

DISCOVERED

3h ago

2026-07-23

PUBLISHED

3h ago

2026-07-23

RELEVANCE

8/ 10

AUTHOR

omarsar0

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