What is ThoughtDAG used for?

ThoughtDAG is an infinite-canvas tool where AI conversations branch into nodes, letting you control which context each wire passes to the language model. It is a good fit for research that branches across side questions and managing context for long LLM projects.

Is ThoughtDAG open source?

Yes. ThoughtDAG is open source under the MIT licence. Its source code is on GitHub at chenxiachan/thoughtdag and is written mainly in TypeScript.

Yes. ThoughtDAG is open source, so the software itself is free to use.

Can I self-host ThoughtDAG?

Yes. ThoughtDAG can be self-hosted on your own server or infrastructure.

What are some alternatives to ThoughtDAG?

Similar open-source tools in the AI Tools category include Open WebUI, Cherry Studio and BrowserOS. SaaS products in the same category include Google Gemini, Perplexity and Aera Browser.

Is ThoughtDAG actively maintained?

Yes. The most recent commit to ThoughtDAG was on 2 October 2026, and the latest release is v0.5.15, published on 2 October 2026. The project has 521 stars on GitHub.

ThoughtDAG: open-source AI tools

About ThoughtDAG

ThoughtDAG, published under the chenxiachan account, turns conversations with large language models into an editable graph on an infinite canvas. Each exchange becomes a node, and the wires between nodes define the context the model sees, so you can explore a side question and then choose which paths to connect.

Version 0.5 adds local recall: an index searches earlier agent sessions and ThoughtDAG canvases, builds topic dossiers of decisions and open questions, and lists the excerpts added to a request so you can inspect or exclude them. An optional decision layer called Jev helps pick relevant material, and without it recall falls back to rules.

The project offers a desktop app, a command line interface and a harness, and its topics point to MCP support, Ollama for local models, local-first storage and a self-hosted option. It is built with TypeScript and React Flow and is MIT licensed.

Key features

Infinite canvas of branching LLM conversations
Wires control which context reaches the model
Local index of past agent sessions
Topic dossiers with links to sources
Inspect and exclude recalled excerpts
Desktop app and command line interface
MCP and Ollama integration

Good fit for

→Research that branches across side questions
→Managing context for long LLM projects

Built with: TypeScript
Tags: llm; infinite-canvas; knowledge-graph; note-taking; mcp; ollama; local-first; research; react-flow

ThoughtDAG: questions and answers

What is ThoughtDAG used for?: ThoughtDAG is an infinite-canvas tool where AI conversations branch into nodes, letting you control which context each wire passes to the language model. It is a good fit for research that branches across side questions and managing context for long LLM projects.
Is ThoughtDAG open source?: Yes. ThoughtDAG is open source under the MIT licence. Its source code is on GitHub at chenxiachan/thoughtdag and is written mainly in TypeScript.
Is ThoughtDAG free?: Yes. ThoughtDAG is open source, so the software itself is free to use.
Can I self-host ThoughtDAG?: Yes. ThoughtDAG can be self-hosted on your own server or infrastructure.
What are some alternatives to ThoughtDAG?: Similar open-source tools in the AI Tools category include Open WebUI, Cherry Studio and BrowserOS. SaaS products in the same category include Google Gemini, Perplexity and Aera Browser.
Is ThoughtDAG actively maintained?: Yes. The most recent commit to ThoughtDAG was on 2 October 2026, and the latest release is v0.5.15, published on 2 October 2026. The project has 521 stars on GitHub.