Maekon
Maekon is a local-first AI agent for desktop. It runs on your machine, sees what you see, and turns scattered context into actionable guidance — without sending your raw activity to anyone else by default.
What it does
- Captures local context — active windows, screen frames (delta-encoded), system metrics, and (optional) input patterns. All processing happens locally.
- Detects work regimes — clusters your activity into focused sessions automatically; no manual time-tracking.
- Suggests actions — surfaces relevant suggestions in real-time via gRPC streaming or local heuristics.
- Integrates with your tools — connects to Linear, Jira, Slack, Notion, Calendar, and more (your tokens, your control).
When to use Maekon
- You want observable productivity data without giving up control of your activity stream.
- You're a developer / researcher / knowledge worker whose context lives in many tools at once.
- You need on-device AI for security or compliance reasons (GDPR, ISMS-P, SOC 2 boundaries).
- You're comfortable running an open-source desktop client (macOS / Windows / Linux).
When not to use it
- You want a fully managed SaaS — Maekon is a local agent that pairs with an optional self-hosted server.
- You need a finished product — current release is
v0.0.1-rc.x(pre-release). APIs and data formats may shift.
Project at a glance
| Platforms | macOS (Universal), Windows (x64), Linux (x64) |
| Stack | Rust + Tauri 2 (desktop) · React 19 (UI) · Memgraph + Redis (server) |
| License | Apache-2.0 |
| Source | github.com/pseudotop/maekon-client |
| Releases | latest releases |
| Landing | maekon.dev |
Next steps
- Installation — Get Maekon on your machine in under a minute.
- Getting Started — First run, login, and the suggestion stream.
- Architecture — How the 14-crate workspace fits together.