myAI — AI Management Framework
myAI turns a folder of git repos into an AI-managed fleet: every agent session boots with full context, autonomous work runs off-hours on a task queue, and one dashboard shows everything.
Self-hosted, single operator, your own Anthropic key. No SaaS account, no lock-in — the whole stack (gateway + dashboard + MongoDB) runs on localhost via Docker.
Where to start
| Page | What you'll find |
|---|---|
| Quickstart | Download → running dashboard in 5 minutes |
| Concepts | The continuity model, memory tiers, the runner, budgets, and the fleet |
| Comparisons | Honest myAI vs Mem0 / Zep / Ruflo / Composio / Langfuse, with a summary matrix — mostly complementary tools, not rivals |
| CLI reference | Every myai command — auto-generated from the CLI source |
| MCP tool reference | Every gateway MCP tool — auto-generated from the gateway source |
| API reference | Interactive Redoc explorer for the gateway REST/MCP surface — generated from the OpenAPI spec |
Try it hands-on
Two copy-paste walkthroughs prove the core loops in minutes. They ship in the npm package and live at the repo root:
- Try myAI in ~10 minutes — install the CLI from a local build, scaffold a throwaway project, bring the full stack up on free ports, click around, tear it down. A real cold-start test that never touches a live stack.
- Try the Brain in ~5 minutes — prove git-versioned agent memory by hand: init → work → stash → pop from a second agent → merge → diff, against a throwaway brain. No gateway, no Docker, no API key.
What it does, in one paragraph
You install one CLI (npm i -g ai-management), run myai init and myai up, and get a local gateway (an MCP server at localhost:3100) plus a dashboard (localhost:3210). Point any MCP-capable agent at the gateway (myai connect-agent) and it boots with your operator context, project state, and semantic memory — no cold starts. Queue tasks (myai schedule) and a headless CLI runner builds them off-hours, surfacing finished work for your review. Everything stays on your machine.
Links
- Source: github.com/knofler/ai_management
- npm package:
ai-management