Open Source Knowledge Base for Humans and AIBeta 0.2.0
Bring research, conversations, and past work logs into a connected knowledge base. Humans and AI read, refine, and build upon the exact same Context.
Incorporate beta user feedback so anyone can understand product value at a glance.
Structured from the actual dtxWiki interface
Why dtxWiki?
Files scatter across fragmented tools, and key decisions vanish into chat histories. dtxWiki unifies your context into a single knowledge base, carrying past work forward into every next workflow.
Connected Knowledge
As you capture your thoughts, referenced notes, cited sources, and related readings link together automatically. Understand the broader picture at a glance without building complex graph setups.
Explore active notes, cited sources, and related readings all in one clear view.
Authored in clean Markdown so both humans and AI understand the exact same content.
Inspect revision history to review when and how knowledge evolved over time.
Quickly locate essential notes and related Context through instant search.
Shared with teamEdited today
Shared Knowledge
Connect your favorite AI tools to dtxWiki via open-standard MCP (Model Context Protocol). AI can search and read Context written by humans, and author or edit notes within permitted boundaries.
Connects insights and rationale into Context.
Discovers, reads, and edits within permitted bounds.
What is MCP?An open standard protocol that connects AI tools to discover, read, and write knowledge in dtxWiki.
Transparent AI Collaboration
When AI works in Chats, every document searched, read, and modified is explicitly logged. No opaque black boxes—only transparent, verifiable collaboration.
AI Work Trace
Found 3 relevant Context notes.
“Having to re-explain the entire project background every time I switch AI tools was the most tedious part.”
＋ Set hero message to “Stop repeating yourself.”
＋ Linked Customer Interview Summary as related Context
＋ Prioritized user-centric explanations
Use Cases
Not just for software teams. Anyone building long-term, compounding projects can leverage the exact same workflow.
Connect papers, primary sources, research notes with math and code, and lecture slides into comprehensive reports and future publications.
Link customer interviews, PRDs, experiments, and decision rationales so the next iteration starts with full context immediately.
Preserve operational SOPs, support guidelines, and recurring decision standards so onboarding teammates and AI start on the same page.
Organize brand guidelines, product specs, FAQ answers, and operational know-how in one place to automate repetitive workflows.
Connect character sheets, lore, plot arcs, and channel tone-of-voice to keep your storytelling coherent across long-running creative projects.
Link syllabi, lecture materials, grading rubrics, and feedback so you never have to rebuild course context from scratch.
Import Existing Files
Import PDFs, documents, images, and datasets into Library to reference them in Context. Convert them to clean, AI-ready Markdown whenever needed.
Self-Hosted Knowledge Base
dtxWiki runs in environments you manage directly. Storage destinations and external AI connection scopes will be clearly documented upon public release.
Choose the installer or CLI package that fits your operating system on Windows, macOS, or Linux.
When connecting AI tools, only explicitly permitted contexts are shared with external providers.
Supported features, known limitations, and release updates remain publicly accessible at all times.
OPEN SOURCE · APACHE-2.0
Inspect the source code and run it freely on your own machine. Shape dtxWiki's future through ideas, documentation, and code contributions.
CONTRIBUTE
Share what works well and what needs improvement.
Open GitHub Issues for features you need.
Collaborate on code, translations, and documentation.
FAQ
dtxWiki is an open-source knowledge base that connects documents, decisions, and past work. Humans and AI read and modify the same Context together.
Release packages are currently in preparation. Once verified, download buttons for Windows, macOS, and Linux will be activated on this page.
Detailed installer downloads and Linux npm package setup instructions will be published upon release.
Currently, the public GitHub repository reflects previous builds. Source code and release tags for Beta 0.2.0 will be synchronized simultaneously with verified installers.
Yes. Any AI tool supporting MCP (Model Context Protocol), such as Claude Desktop or Cursor, can connect to dtxWiki to find, read, and propose changes within permitted scopes.
No. Chats does not store raw dialogue logs. It only records tool execution steps performed on dtxWiki, such as searching, reading, and editing Context.
dtxWiki can run in your own self-managed environment. When you connect external AI providers, only content within your explicitly permitted scope is sent to that AI service.
Yes. Teams can share and collaborate on the same knowledge base. Specific collaboration features such as invitations and access controls will be outlined in the release notes.
Yes. dtxWiki is free, open-source software licensed under Apache-2.0. You are free to use it for personal, academic, and commercial purposes with no software licensing fees.
Yes. Surfaces labeled 'Preview' are continuously evolving. The core focus of this Beta is accumulating knowledge in Context, collaborating with AI, and auditing tool actions in Chats.
Continue on GitHub
Explore the open-source project and share your feedback and feature requests.