aisdk (version 1.1.0)

project_memory: Project Memory System

Description

Long-term memory storage for AI agents using SQLite. Stores successful code snippets, error fixes, and execution history for RAG (Retrieval Augmented Generation) and learning from past interactions.

Factory function to create or connect to a project memory database.

Usage

project_memory(project_root = tempdir(), db_name = "memory.sqlite")

Value

A ProjectMemory object.

Arguments

project_root

Project root directory.

db_name

Database filename.

Examples

# \donttest{
if (interactive()) {
# Create memory for current project
memory <- project_memory()

# Store a successful code snippet
memory$store_snippet(
  code = "df %>% filter(x > 0) %>% summarize(mean = mean(y))",
  description = "Filter and summarize data",
  tags = c("dplyr", "summarize")
)

# Store an error fix
memory$store_fix(
  original_code = "mean(df$x)",
  error = "argument is not numeric or logical",
  fixed_code = "mean(as.numeric(df$x), na.rm = TRUE)",
  fix_description = "Convert to numeric and handle NAs"
)

# Search for relevant snippets
memory$search_snippets("summarize")
}
# }