pyrlm-runtime Minimal Python runtime for Recursive Language Models (RLMs) — inspired by the MIT CSAIL paper "Recursive Language Models". RLMs solve the long-context problem: instead of sending huge contexts directly to an LLM (which truncates or degrades), the context lives as environment state in a Python REPL. The LLM writes code to inspect, search, and chunk the data, making recursive subcalls to smaller models when needed. Result: handle arbitrarily large contexts with constant token usage per step.
| Stars | 32 |
| Forks | 2 |
| Language | Python |
| Category | LLM 插件 |
| License | MIT |
| Quality Score | 41.25/100 |
| Open Issues | 16 |
| Last Updated | 2026-06-09 |
| Created | 2026-01-18 |
| Platforms | python |
| Est. Tokens | ~500k |
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pyrlm-runtime is Minimal runtime for Recursive Language Models (RLMs) inspired by the MIT CSAIL paper "Recursive Language Models".. It is categorized as a LLM 插件 with 32 GitHub stars.
pyrlm-runtime is primarily written in Python. It covers topics such as ai, anthropic, gpt.
You can find installation instructions and usage details in the pyrlm-runtime GitHub repository at github.com/apenab/pyrlm-runtime. The project has 32 stars and 2 forks, indicating an active community.
pyrlm-runtime is released under the MIT license, making it free to use and modify according to the license terms.