maker-framework

What problem does it solve?

MAKER orchestrates reliable multi-agent reasoning to transform probabilistic LLM outputs into deterministic, verifiable results.

Core Features & Use Cases

• Decomposes complex tasks into atomic subtasks (MAD) to enable parallel execution
• Validates outputs with a Red-Flagging System and aggregates results via First-to-Ahead-by-k voting
• Handles reliability-critical workflows and multi-step reasoning with configurable criticality and DAG orchestration
• Integrates with tools like maker_build_dag, maker_vote, maker_red_flag, and maker_get_config for end-to-end pipelines
• Use Case: orchestration for code reasoning, data validation, and knowledge-graph extraction across dispersed data sources

Quick Start

Provide a complex task and MAKER will decompose it into subtasks, run parallel agents, validate outputs, vote to reach consensus, and return a verified result.