mitdbg/Carnot
Optimized System for Deep Research
Carnot enables multi-turn research workflows with explainable reasoning chains, allowing users to iteratively refine complex queries through an interactive interface. The system optimizes token usage and latency by decomposing research tasks into structured sub-queries and caching intermediate results. It integrates with standard LLM APIs while maintaining full transparency over reasoning steps and source attribution.
Stars
5
Forks
1
Language
Python
License
MIT
Category
Last pushed
Mar 14, 2026
Commits (30d)
0
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