Semantic Context

Available tools

save_context

Save a conversation context with AI-powered summarization and automatic tagging to capture essential information for future retrieval.

load_context

Retrieve relevant context for a project, leveraging memory management to prioritize what's most useful.

search_context

Search contexts using keyword matching to quickly locate relevant conversations and summaries.

reconstruct_reasoning

Explain why a context was created by reconstructing the original reasoning and decision path.

build_causal_chain

Trace the sequence of decisions and actions that led to a context, revealing dependencies and causes.

get_causality_stats

Provide analytics on causal relationships and action types to understand how contexts evolve.

get_memory_stats

Show memory tier distribution and access patterns to assess how contexts are retained.

recalculate_memory_tiers

Automatically update memory classifications based on current time and activity.

prune_expired_contexts

Automatically remove old or unused contexts to optimize storage usage.

update_predictions

Refresh prediction scores for a project to improve future-context selection.

get_high_value_contexts

Retrieve contexts most likely to be used next based on prediction scores.

get_propagation_stats

Analyze the quality and patterns of predictions to guide optimizations.