Enables AI coding agents to retrieve token-budgeted project context, search code symbols, look up definitions, and access project memory and cross-project learnings through local MCP tools. It reduces redundant exploration by supplying the smallest useful context from a deterministic, local-first index.
Provides AI coding agents with Git repository history analysis, including churn hotspot detection, semantic file coupling, and recent context summaries through MCP tools.
Provides persistent, cross-session memory for CLI agents via MCP tools, enabling them to recall, distill, and share experiences across projects and tools.
Enables AI agents to locally search, query, and understand codebases with token-efficient context, dependency graphs, history, architecture diagrams, and metrics through MCP.