A local code graph engine for MCP agents: proof-aware state, guided next steps, continuity, and safer edits.

Blazing-fast code graph generation for AI agents to navigate codebases efficiently. Analyzes your codebase and builds a compressed graph of functions, calls, and dependencies for AI agents to understand code architecture without expensive token usage.

Offline MCP server for AI coding agents with semantic code search, symbol intelligence, dependency graphs, and safe file operations.

Graph-based code intelligence with MCP server for AI assistants. Tree-sitter parsing, semantic search, relationship analysis. Your codebase as a searchable knowledge graph.

A high-performance code intelligence graph for LLMs and AI agents. Sub-second structural queries, impact analysis, and cross-repo API contracts for autonomous coding workflows.

A queryable code symbol graph for multi-language monorepos — find callers, impact, dead code, and cross-file inconsistencies, every edge confidence-scored.

Cross-service code graph engine. 19 language parsers, 13 cross-graph resolvers, .gmap binary store, CLI + Python wheel + MCP wrapper. Worker-protective licensing.

Local-first offline MCP code intelligence platform for Cursor/Codex, built with Rust, SQLite, graph search, and token-saving context packs.

Queryable symbol graph for codebases. Standalone CLI (lint, agent guardrail, pre-commit) and PostgreSQL extension exposing moniker / code_graph with indexed algebra. TS, Rust, Java, Python, Go, C#, SQL. Rust + pgrx + tree-sitter.