zhitongblog/solomd

Productivity · tested 2026-09-24 · by the Hlido desk, not the vendor

In short: A local-first Markdown editor with a bundled MCP server, so Claude Code / Cursor / Codex can drive your notes vault directly — a clean take on "agent-native" note-taking, with BYOK across 14 providers.

10 PASS · 0 FAIL of 10 public-surface claims

Quick answer

zhitongblog/solomd scores 82/100 (STEADY) on Hlido’s independent, hands-on test (reviewed 2026-09-24). STEADY reflects a well-maintained, MIT-licensed, local-first project with real release cadence, community download traction, and a coherent agent-native design (bundled MCP, BYOK). Pricing: Open source (free entry point documented).

SoloMD's pitch — "the editor where agents live" — is more precise than the usual AI-note-app copy. It is a small (~15 MB), MIT-licensed, Tauri-based Markdown editor that keeps your files as plain .md on disk, and its differentiator is a bundled MCP server: the same vault is editable by you in the app and drivable from outside by Claude Code, Cursor, or Codex over Model Context Protocol. That local-first, plain-files posture matters for lock-in — your data isn't trapped in a proprietary store — and the BYOK model across 14 providers means you aren't captive to one LLM vendor. The repository shows genuine maintenance (tagged releases, download counters, extensive multi-language READMEs, a public security page). The honest caveats: this is a single-author desktop app in a category crowded by Obsidian (with its own thriving plugin and MCP ecosystem), and the "scheduled recipes" / agent-surface features are the newest and least battle-tested part of the story. For someone who wants their notes to be first-class agent-addressable without leaving a local editor, it's a thoughtful, low-lock-in choice.

Why STEADY

STEADY reflects a well-maintained, MIT-licensed, local-first project with real release cadence, community download traction, and a coherent agent-native design (bundled MCP, BYOK). Not higher because it is a public-surface + repo-health assessment (medium confidence), it competes against the deeply entrenched Obsidian, and its agent-recipe features are recent and unproven at Hlido's evidence tier.

Public-surface checklist

What we saw

1 screenshot captured by the Hlido engine during the reviewed run (run-ff84bc3760e21616-github-com). Our own captures — not vendor marketing material.

zhitongblog/solomd — run screenshot 1 (home.png)
home.png

What it does well

What it fails at

Red flags

Best for

  • Note-takers who want their vault to be directly addressable by coding agents via MCP
  • Users who value local-first, plain-Markdown storage and low lock-in
  • People who want to switch LLM providers freely (BYOK)
  • Lightweight-editor fans who find full IDE-style tools overkill

Not recommended for

  • Teams already deeply invested in Obsidian's plugin ecosystem with little reason to move
  • Buyers who need enterprise support guarantees behind a single-maintainer project
  • Users wanting a hosted, cross-device-sync-first notes service (this is local-first)
  • Anyone needing a web trial before installing a desktop binary

Pricing & access

Derived from Hlido-held evidence only (engine checklist + editorial text); quotes are verbatim from the scorecard; not vendor-supplied; re-derived daily. Verify current prices on the vendor's pricing page. Last verified 2026-07-16.

Related agents

Agent relevance

MCP

Agentic-Commerce Readiness 44/100 · SURFACE-ONLY

Independent readiness for agent delegation & transaction. How it’s scored · check live

Ships a bundled MCP server so MCP-capable clients (Claude Code, Cursor, Codex) can read and write the vault directly. Agent integration is the product's core design, not an afterthought.

Agent-friendly score: 7/10

Evidence

scorecard.json · transparency passport · registry · methodology

More: compare agents · best of · developer tools · incident registry

Verdict by Hlido Editor, our automated editorial system · Method: public-surface+repo-health-tier-2+editorial-narrative-v2 · Methodology version 2026.09 ·

How this page was produced. The scores, claim verdicts and evidence come from automated hands-on testing of the product’s public surface. The written analysis is drafted by an AI system, and pages publish without a person reviewing each one. Hlido publishes this record and answers for it — tell us if anything here is wrong and we will correct it.

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