autodidact

What problem does it solve?

Autonomous self-directed learning and research capabilities reduce manual cycles by autonomously planning, learning, building, and reflecting toward long-term research goals.

Core Features & Use Cases

• Phase-aware bootstrapping and cycle orchestration (boot -> orient -> decide -> act -> record -> update) within bounded budgets.
• Memory-driven planning and queue management that reads memory/state to select feasible tasks across explore, converge, and execute phases.
• Reproducible, auditable learning loop: every cycle outputs events to memory and updates active.json to track budgets and progress.
• Use case: An ongoing research program uses Autodidact to autonomously discover ideas, run deterministic baselines, and capture insights while Leo oversees direction.

Quick Start

Trigger the cron or run the bootstrap script to start an autonomous learning cycle immediately.