openManidoc is an open-source edition of Manidoc (built with Flutter). It runs natively on macOS, Windows, and Linux, providing a secure, local-first ecosystem where humans and AI agents collaborate seamlessly via dynamic Markdown trees.
Download Latest Release (Free) View Code on GitHubBased on our hands-on development and real-world experiments, these are the core values and architectural advantages of openManidoc.
Traditional note-taking tools (like Notion or Obsidian) are mostly one-way: humans write, and AI occasionally supports. openManidoc breaks this barrier. Humans and AI surround a shared Markdown tree as a common interface, reading, writing, and editing in a bidirectional, collaborative workspace.
All database files, texts, and images remain strictly on your local machine. No corporate secrets or personal drafts are ever leaked to external clouds. Build an exceptionally secure knowledge base with peace of mind.
No need to deploy complex custom servers. Just locate your workspace inside a Google Drive sync folder, and the cycle runs smoothly: AI (Claude/GPT via MCP) periodically auto-builds node structures or dashboards, humans refine them on the desktop app, and changes sync to manidocMobile automatically for quick review on the go.
Unlike standard RAG (vague semantic search over vectors), openManidoc uses deterministic full-text search directly matching the structural Markdown tree. The AI analyzes *only* these verified source texts to generate answers, completely eliminating AI hallucinations while keeping enterprise data secure.
As a **Viewer** for humans, it offers mind maps, image annotations, and a CSS theme generator for instant comprehension. As a **Construction Tool** for AI, it leverages manidocMCP to let agents read, write, browse the web, or collect information, allowing your knowledge tree to grow organically.
Desktop, Server, and Mobile work in unison to form a secure, organic knowledge loop.
The desktop application where humans visualize the big picture via mind maps, structure articles, apply image annotations, and tweak styles with the custom theme generator.
A Model Context Protocol (MCP) server that lets external AI tools safely query your local data. Instead of relying on fuzzy vector lookups, it performs exact full-text search on structured Markdown trees. This ensures AI output is grounded in actual facts, bypassing hallucinations. AI can also write/edit files to build knowledge bases autonomously.
Access, browse, and edit your latest compiled knowledge base anytime, anywhere, directly from your mobile device.
Always get the latest release (free & open source, GPLv3).
Older versions and release notes are available on GitHub Releases.
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