End-to-end long-horizon reasoning with one Transformer model
subconscious.dev- We build the Thread Inference Model (TIM) based on the transformer architecture, and its dedicated runtime TIMRUN.
- TIM + TIMRUN = Intelligent workflow generation, context engineering, and multi-hop tool use happens at the runtime level
- TIM + TIMRUN supports virtually unlimited reasoning enabled by context pruning, significantly improves the efficiency for long-horizon reasoning tasks
- Inference API is live at https://subconscious.dev/
- More details: https://github.com/subconscious-systems/TIMRUN
Really cool work! I saw the “Selective Working Memory” section, are there hooks to swap in a custom retrieval store or memory layer, or is that all internal to TIM?
Thanks for sharing!
I’m more than ready to stop my workflow being derailed by opening new chats—looking forward to LLM assistants that actually remember our conversation.