memory_retrieval_system

You can retrieve past Swarm conversations and action logs using a two-tiered system: a broad scan with ripgrep generates a compact index of file paths and line numbers, followed by a precise read of specific line ranges to extract exact context.

To retrieve a JSON payload from previous action logs, search your memory archive using keywords like the API name or error message to generate a compact index, then read the specific line ranges from the identified file to get the precise details.

Ripgrep handles memory retrieval for large volumes of archived Markdown files by performing an L0 broad scan that generates a compact index of relevant file paths and line numbers, ensuring efficient recall without loading entire files into the context window.

Yes, this memory retrieval system overcomes large language model context window limitations by using a two-tiered approach: L0 broad scanning generates a compact index of file paths and line numbers, while L2 precise reading retrieves only the specific content needed from identified line ranges.

No external dependencies are required to run the memory search and read functions. The system operates using included scripts and relies on ripgrep for L0 broad scanning and precise reading of specific line ranges from daily archived Markdown files.