non-linear

What problem does it solve?

Uncertainty-aware non-linear reasoning system with recursive subagent orchestration to tackle complex, multi-domain analysis and synthesis tasks. It enables structured exploration, robust handling of ambiguity, and adaptive orchestration of reasoning and action loops for difficult problems.

Core Features & Use Cases

• Uncertainty-first think→act→observe loops that coordinate specialized subagents and maintain a NoisyGraph scaffold.
• Integrates think skill (reasoning), agent-core (acting), and MCP tools (infranodus, exa, scholar-gateway) for iterative research and evidence synthesis.
• Use cases include complex cross-domain research, multi-source comparisons, and decision support where single-agent approaches struggle.

Quick Start

Start a complex reasoning session on a multi-domain topic by spawning subagents and initiating the recursive think→act→observe loop with a NoisyGraph scaffold.