Modular Executive Neural Tooling Intelligence System
MENTIS is a local-first AI orchestration and developer tooling project focused on coordinating AI models, coding agents, project memory, command workflows, safety checks, and terminal-based execution.
This repository is the public project overview for MENTIS.
The full working repository is currently private while it is being cleaned, audited, and prepared for a staged open-source release. This public repository intentionally does not include private implementation code, local environment files, API keys, logs, personal memory, experimental artifacts, or unreleased internal tooling.
MENTIS is designed as a transparent control layer for AI-assisted development.
Instead of relying on one opaque assistant, MENTIS aims to provide a structured workspace where builders can:
- route tasks to the right model or specialist agent
- coordinate coding, research, review, testing, and planning workflows
- manage project context and long-running development state
- keep humans in control of tool execution
- enforce safety policies before commands or file changes run
- build reliable terminal-first AI workflows
- compare local models and cloud models through one interface
MENTIS is in early private development.
The current focus is on:
- terminal user experience
- model routing
- agent-role orchestration
- Codex/OpenAI workflow integration
- safe command execution
- project memory boundaries
- public documentation and open-source release planning
This public repository provides a clean, non-sensitive overview of the project while the core implementation is prepared for release.
It exists to:
- explain the project publicly
- document the roadmap
- collect feedback
- prepare community contribution guidelines
- provide a stable link for programs, grants, and open-source review
- avoid exposing private or unsafe development artifacts too early
The planned public release will happen in stages:
-
Project overview and roadmap
Public documentation, goals, architecture, contribution model, and safety policy. -
Minimal developer preview
A small, auditable CLI/TUI skeleton with no private keys, no personal memory, and no hidden automation. -
Model routing layer
Public implementation of provider abstraction, routing policies, and configurable model departments. -
Codex/OpenAI workflow integration
Reproducible examples for using Codex/OpenAI models in developer workflows. -
Agent orchestration modules
Specialist role coordination for coding, review, testing, research, and safety checks. -
Community-ready package
Documentation, examples, tests, security policy, and contributor workflow.
MENTIS is not intended to be:
- a malware framework
- an autonomous system that acts without user review
- a tool for credential theft, unauthorized access, or unsafe automation
- a black-box assistant that hides tool calls or model decisions
- a repository for private logs, secrets, or personal memory
- Local-first where possible
- Human-in-the-loop by default
- Transparent model routing
- No secret leakage
- Safety gates before risky actions
- Useful terminal UX
- Practical developer workflows over hype
- Open-source release only after cleanup and audit
This repository currently contains documentation only.
The implementation is intentionally excluded until it can be released safely.
See:
docs/ARCHITECTURE.mddocs/ROADMAP.mddocs/OPEN_SOURCE_RELEASE_PLAN.mddocs/API_CREDITS_USE.mdSECURITY.md
The documentation in this repository is released under the MIT License unless otherwise noted.
Future source-code licensing may be finalized before the first public implementation release.