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Mini LLM Flow
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mini-llm-flow
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Minimalist LLM Framework in 100 Lines. Enable LLMs to Program Themselves.
Used For
General-purpose framework for building LLM-driven applications across domains.
Low-level customization for prototyping and developing tailored workflows.
Processing and summarizing large datasets efficiently using MapReduce.
Building AI agents for research, analysis, and task automation.
Rapid integration with coding assistants for real-time workflow creation and debugging.
Distribution Model
Open Source
Price
Free
Features
Node-based task orchestration for building complex LLM workflows.
Flow nesting and recursion for hierarchical and dynamic task execution.
Batch processing for large datasets with efficient MapReduce patterns.
Express paradigms like agents, Retrieval-Augmented Generation (RAG), task decomposition, and more.
Work seamlessly with coding assistants like ChatGPT, Claude, and Cursor.ai for real-time workflow development and iteration.
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