Nodea, an open-source AI canvas for working through complex projects
Branching conversation trees beat linear chat for exploring multiple AI directions at once.

Non-linear chat with branching at arbitrary nodes—existing tools lock you to linear threads.
Researchers, writers, and exploratory thinkers who want to pursue multiple conversation directions simultaneously.
ChatGPT conversation branches · Claude Projects · Perplexity Focus
It's essentially a tool for non-linear thinking. There's a lot of features I'd love to add, and I need some feedback before I take it anywhere else. So, I'm listening to whatever you're thinking is broken.
Basic feature set: - Branching conversations: follow up from any node at any time, not just the latest message
- Context inheritance: when you branch off a node, the AI gets the full ancestry of that branch as context, so answers are aware of the whole conversation path leading to them.
- Text-to-question: highlight any text in an answer to instantly seed a new question from it.
- Multi-provider AI: compare and adjust responses from OpenAI, Anthropic, and Google Gemini.
- Visual graph: the conversation renders as a React Flow graph with automatic layout, so you can see the whole structure at a glance.
- Shareable links: your entire chat is compressed and stored in the URL. Everything is local (well, except the API calls).
- Branch compression: long branches can be collapsed into a summary node to keep the graph tidy.
Branching conversation trees beat linear chat for exploring multiple AI directions at once.
Conversation branching and navigation beats Claude Code's linear chat model.
Tree-structured AI conversations with manual RAG control beats auto-polluted context.
The ability to 'fork' a chat into nested child cards that preserve exact DOM selection and prune the history array is a clever, pragmatic answer to 'context pollution'. Real-time token streaming, local-only API key storage, and CSS tricks like contain: paint show attention to performance and privacy. It's a browser-hack that feels powerful for deep research, but it will remain fragile and tightly coupled to Gemini's UI unless it expands to other providers or formalizes a more stable integration layer.
Ethically-grounded digital memorial, not resurrection theater.
O(1) fork latency makes tree search 1000x faster than vLLM for agentic workloads.