Comprehensive memory management for Claude Code
We built CodeYam Memory because Claude Code kept repeating the same mistakes and our claude.md files got stale. CodeYam Memory uses a background agent to review your coding session transcripts, identifies confusion patterns, and generates targeted rules with proper scoping. This is a small first step towards our vision of exploring the ideal AI-native development experience, packaged as a lightweight CLI that you can use wherever you use Claude Code.
CodeYam simulations act as a remote control for applications, allowing developers to jump to any state in seconds for client demos, team onboarding, or reviewing unfamiliar codebase sections. This accelerates knowledge transfer and reduces context-switching overhead.
CodeYam Memory automatically captures decisions and rules from every Claude Code session, allowing the AI agent to pick up exactly where it left off without losing context between sessions. This eliminates repetitive explanations and ensures consistent development direction.
CodeYam's workflow includes audit and verification steps at each stage to statically test that nothing was missed. Simulations automatically update with code changes, providing a robust acceptance test suite that catches unexpected shifts before they reach production.
CodeYam CLI generates software simulations that capture how code behaves in sandbox environments with AI-generated mock data. Developers can see exactly how each change performs before deployment, reducing production bugs and enabling confident code reviews.
CodeYam provides an 18-step rigorous workflow that guides AI agents through planning, prototyping, testing, and verification. This structured process keeps AI on track, ensures consistent results, and maintains developer control over what gets built.