Codify AI Agent Context

Example Use Cases

• 1

  Architectural memory and project context to maintain continuity across coding sessions.

• 2

  Detailed implementation plans and specifications to follow during development.

• 3

  Reusable skills and best practices to perform tasks like committing, versioning, and code reviewing correctly.

Description

Codify provides AI agents with deep project memory through context files, detailed implementation specs, and reusable skills to improve code quality and continuity. It supports generating context from descriptions or existing projects, creating spec-driven development plans, and delivering agent skills either statically or personalized via LLMs. Compatible with Claude, Gemini, Codex, and other agents, it enables seamless integration as an MCP server for automated AI coding workflows.