samholt/L2MAC
🚀 The LLM Automatic Computer Framework: L2MAC
Implements a von Neumann architecture with sequential prompt-programs executed across multiple LLM agents, where each step reads/writes to persistent file storage to overcome context window limits. Supports extensible tooling (syntax checking, unit testing) and works with multiple LLM providers via configurable APIs. Designed for generating large-scale outputs like complete codebases or books from single prompts through structured instruction decomposition and memory management.
146 stars and 19 monthly downloads. No commits in the last 6 months. Available on PyPI.
Stars
146
Forks
44
Language
Python
License
MIT
Category
Last pushed
Dec 27, 2024
Monthly downloads
19
Commits (30d)
0
Dependencies
8
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