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dtxWiki

Give your AI the knowledge you've already built.

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dtxWiki connects your notes, source materials, and decisions in a knowledge base that you and your AI tools can use together. Keep your reasoning and references within reach, and build on them when the next task begins.

Write and connect Markdown pages in Context, organize reference materials in Library, and connect supported AI apps through MCP (Model Context Protocol). They can find, read, and update the same knowledge you work with, within the access you grant.

Actual dtxWiki Context screen showing an onboarding plan, interview notes, and product decisions.

Context preview: an actual dtxWiki screen with sample project content.

Less explaining, more building

  • Reuse the background you've already prepared. Keep research, requirements, and earlier decisions available across tasks. Ask your connected AI tool to find the relevant context before helping with the next step.
  • Keep the reasoning with the result. Connect a plan to the interviews, notes, and decisions behind it. When you return to a project, you can understand how it got there as well as what needs to happen next.
  • See what your AI did. Chats shows the searches, reads, and updates performed through dtxWiki's MCP tools. Follow the materials consulted and inspect changes in document history. Chats records tool actions, not full conversations from your AI app.

Actual dtxWiki Chats screen showing recorded MCP tool activity for a sample project.

Chats preview: recorded tool activity from a sample MCP session.

Run dtxWiki on your own computer or a server you manage. Share a workspace with teammates and choose what people and connected AI tools can access. You can also write, organize, and search without an AI account or API key.

A practical example: update a product plan

  1. Keep the background together. Record customer interviews and past decisions, then link them to your product plan.
  2. Use it in the next task. Ask a connected AI tool to find the relevant feedback and help revise the plan.
  3. Check the work. Review the tool activity in Chats and the changes in document history. The updated plan and its background stay available for the next iteration.

The same approach works for research reports, team handbooks, course materials, and creative projects.

Get started

You need Python 3.12 or newer and pipx or uv.

Install and start with pipx:

pipx install dtxwiki
dtxwiki

Or with uv:

uv tool install dtxwiki
dtxwiki

Open http://127.0.0.1:21080/ if your browser does not open automatically. Create an account on your first visit. Keep the command running while using dtxWiki; press Ctrl+C to stop it.

If you prefer npm, run npx @dtxsuite/dtxwiki. This requires Node.js 22 or newer and uv or pipx; with pipx, Python 3.12 or newer must also be installed.

Start with one Context page about your current project. Link the background, then connect an AI tool through Settings > Integrations when you want help.

Open the documentation → for installation details, AI connections, team setup, updates, and everyday workflows.

Get involved

Share a use case, suggest an improvement, or report a problem on GitHub. For code and documentation contributions, see the contribution guide.

License

dtxWiki is available under your choice of AGPL-3.0-only OR Elastic-2.0. See LICENSE for the terms, third-party notices, and commercial licensing options.

Metadata

Release files for dtxwiki 0.1.2

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Source distribution for dtxwiki 0.1.2
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dtxwiki-0.1.2.tar.gz 5.1 MB With provenance Details

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Table of built distributions (wheels) for dtxwiki 0.1.2
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dtxwiki-0.1.2-py3-none-any.whl Python 3 none any Details

Total release size: 10.6 MB

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Download URL dtxwiki-0.1.2.tar.gz
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Download URL dtxwiki-0.1.2-py3-none-any.whl
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