Documentation
README
DeepSwarm — Task-Agnostic Parallel Worker Orchestration
Spawn N parallel API workers for any long-running or multi-turn batch task. Auto-calculates optimal worker count and stagger delay. Supports tiered model delegation: orchestrator plans with a frontier model (V4 Pro), workers execute with a cheaper model (V4 Flash).
Overview
DeepSwarm 2.0 generalizes the proven orchestration pattern from the 19,331-trace generation project to any batch API task. You define a task — translations, reasoning traces, code reviews, summarization — and DeepSwarm parallelizes it across optimal workers with the right stagger for your API.
The core insight: API rate limits are a function of simultaneous connections, not total volume. Auto-calculated stagger + worker count = 99.95% success.
This is the opening of the README. Read the full README on GitHub.