Treequence AI
Show HN: I built a spatial node canvas to fix LLM context drift
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What is Treequence AI?
Treequence is a spatial, multiplayer AI workspace that organizes conversations into branching trees instead of linear chats, reducing token waste and context drift while enabling real-time team collaboration across multiple LLM providers.
Treequence AI pricing
Pricing model: Freemium
Treequence AI pros
- Reduces token usage by ~64% by eliminating irrelevant branches from context, lowering inference costs
- Real-time multiplayer collaboration enables teams to build and refine AI logic simultaneously without silos
- Supports multiple LLM providers (GPT, Gemini, Claude, Llama, DeepSeek) integrated into a single interface
- Powerful context management tools: pinning critical variables to memory, color-coding, auto-tidying, and exporting to markdown/checklists
Treequence AI cons
- Requires learning a spatial interface paradigm rather than traditional linear chat
- Pricing details not clearly displayed on landing page
- May have steeper learning curve for users accustomed to standard chatbot interfaces
Frequently asked questions about Treequence AI
How much does branching save on tokens compared to linear chat?
Internal benchmarks show branching saves approximately 64% of tokens by sending only the active execution path to the model instead of the entire conversation history.
Can my team collaborate in real-time?
Yes, Treequence supports real-time multiplayer collaboration where team members can build, branch, and refine logic simultaneously on shared workspaces.
Which AI models does Treequence support?
The platform integrates multiple LLM providers including GPT, Gemini, Claude, Llama 3, and DeepSeek.