forge-multi-agent

What problem does it solve?

It prevents multi-agent systems from failing due to context overload, runaway parallelism, unbounded orchestration loops, and unstructured/unchecked subagent outputs.

Core Features & Use Cases

• Decision boundary for spawning: Use subagents when tasks exceed context thresholds, are independent, or primarily produce noisy outputs.
• Production-safe orchestration patterns: Fan-out with bounded concurrency, orchestrator/worker, judge/critic, retry-with-fallback, and pipelines.
• Structured results and resilient failure handling: Treat subagent failures as data, enforce timeouts, and support partial success.
• Context and cost discipline: Cap parent context usage, limit subagent brief/output sizes, and recommend caching where tasks repeat.
• Auditability and verification workflow: Log each spawn with brief/result sizes and durations, and validate return shapes before trusting.

Quick Start

Ask your AI system designer to apply forge-multi-agent when building an orchestrator that delegates independent subtasks to bounded parallel subagents and returns only validated structured results.