Every AI session should
build on the last.
AccelMars Mind is a Knowledge OS that wraps AI CLIs like Claude Code, Codex CLI, and Gemini CLI in persistent methodology — session orchestration, phase enforcement, and a GitHub-backed knowledge lifecycle. No more starting from scratch.
AI CLIs are powerful. But stateless.
You use Claude Code or Codex CLI to build software. They're dramatically faster than coding alone. But every session starts cold — re-paste context, re-explain architecture, re-establish rules. Nothing prevents you from skipping from idea to code without a plan. No knowledge carries over. No methodology persists.
You're the memory. You're the enforcement layer. You're the glue. And that doesn't scale past a few projects.
The layer above your CLI.
Session Orchestration
Walk into any AI CLI session with full project context loaded automatically. No more pasting README files and hoping you covered everything.
Phase Enforcement
Hard gates prevent skipping methodology steps. Can't build without a plan. The system enforces the discipline that's easy to skip when moving fast.
Knowledge Lifecycle
GitHub-backed knowledge management that keeps your project brain current. Your knowledge lives in your repos — no proprietary lock-in.
Sprint Methodology
A battle-tested system for running AI-powered development sprints, including a catalog of failure patterns specific to AI-built projects.
The methodology is free.
Mind's methodology layer will be open-sourced. Use it without the product:
- Role-based AI context — structured specifications that make AI agents effective in any business function
- Cross-project patterns — battle-tested approaches validated across multiple products independently
- AI failure pattern catalog — concrete failure modes with prevention strategies, from real production
- Sprint methodology — a minimal, repeatable system for planning and reviewing AI-powered development
Self-hosted Mind will always be free. SaaS paid for managed hosting.
Building in public.
Early sprints complete. Deployed. Dogfooding across AccelMars's own products — stress-tested on the same system that built it.
Follow @AccelMarsHQ for build updates