wisdomgraph/mega-code

A self-optimizing infrastructure layer for AI coding agents that converts coding sessions into reusable wisdom through Primary-Context-Resultant (PCR) decomposition. Knowledge is stored in a Wisdom Graph DB for retrieval and continuous refinement across sessions.

Self-evolving infrastructure layer for AI coding agents that turns coding sessions into reusable wisdom. Decomposes validated knowledge into atomic Primary-Context-Resultant (PCR) units stored in a Wisdom Graph DB, enabling precise retrieval and compounding problem-solving quality over time.

A self-evolving infrastructure layer for AI coding agents that turns coding sessions into reusable wisdom by decomposing skills into Primary-Context-Resultant (PCR) units stored in a Wisdom Graph DB, enabling context-aware retrieval and compounding problem-solving quality.

A self-evolving infrastructure layer for AI coding agents that captures coding session traces and transforms them into reusable skills using Primary-Context-Resultant (PCR) decomposition stored in a structured Wisdom Graph database for retrieval and refinement.

A self-evolving infrastructure layer for AI coding agents that turns coding sessions into reusable wisdom by decomposing execution traces into atomic knowledge units stored in a Wisdom Graph DB, enabling retrieval and recomposition of relevant knowledge for future tasks.

Skill

Skill

Skill

Skill

Skill

MEGA Code turns coding sessions into self-evolving wisdom for agents and developers. It automatically generates Skills and Strategies from past sessions, curates the right workflows and Cheatmaps from the Wisdom DB based on user intent, and enhances existing Skills through evaluation and ROI analysis. BYOK model with local extraction pipeline.

The Self-evolving AI Coding Infrastructure