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Project Roadmap

CodeGraphContext is continuously evolving. This roadmap outlines our current capabilities and our vision for the future of code intelligence.

Current Capabilities

These features are available in the current release:

  • Multi-Language Support: Robust parsing for 19+ languages including Python, JS/TS, Go, Rust, C++, and Java.
  • Plug-and-Play Backends: Support for KùzuDB, FalkorDB, and Neo4j.
  • MCP Ecosystem: A rich set of tools for AI assistants, supporting stdio transport.
  • Real-time Sync: File system watchers that keep the code graph up-to-date automatically.
  • Portable Bundles: A registry and CLI tools for sharing and loading pre-indexed code graphs.
  • Graph Visualization: An interactive React-based UI for exploring code relationships.

In Development (Short Term)

  • Language-Specific Query Toolkits: Specialized queries for deeper analysis of specific language patterns (e.g., React component trees, Python decorator chains).
  • Enhanced SCIP Integration: Moving SCIP support from beta to a first-class indexing citizen for even higher precision.
  • Performance Optimizations: Faster initial indexing for massive (1M+ LOC) repositories.

Planned (Long Term)

  • Advanced AI Workflows: Deeper integration with agentic frameworks to allow AI to perform complex refactorings using the graph.
  • CI/CD Integration: Official GitHub Actions and GitLab CI components for automated graph building.
  • Cloud Synchronization: Optional encrypted cloud storage for syncing code graphs across your development machines.
  • Alternative MCP Transports: Support for HTTP/SSE and WebSocket transports for remote MCP hosting.

[!NOTE] Have a feature request? We value community feedback. Please open an issue on our GitHub repository to suggest new features or report bugs.

CodeGraphContext v0.1.0 · Documentation

Project Roadmap

CodeGraphContext is continuously evolving. This roadmap outlines our current capabilities and our vision for the future of code intelligence.

Current Capabilities

These features are available in the current release:

  • Multi-Language Support: Robust parsing for 19+ languages including Python, JS/TS, Go, Rust, C++, and Java.
  • Plug-and-Play Backends: Support for KùzuDB, FalkorDB, and Neo4j.
  • MCP Ecosystem: A rich set of tools for AI assistants, supporting stdio transport.
  • Real-time Sync: File system watchers that keep the code graph up-to-date automatically.
  • Portable Bundles: A registry and CLI tools for sharing and loading pre-indexed code graphs.
  • Graph Visualization: An interactive React-based UI for exploring code relationships.

In Development (Short Term)

  • Language-Specific Query Toolkits: Specialized queries for deeper analysis of specific language patterns (e.g., React component trees, Python decorator chains).
  • Enhanced SCIP Integration: Moving SCIP support from beta to a first-class indexing citizen for even higher precision.
  • Performance Optimizations: Faster initial indexing for massive (1M+ LOC) repositories.

Planned (Long Term)

  • Advanced AI Workflows: Deeper integration with agentic frameworks to allow AI to perform complex refactorings using the graph.
  • CI/CD Integration: Official GitHub Actions and GitLab CI components for automated graph building.
  • Cloud Synchronization: Optional encrypted cloud storage for syncing code graphs across your development machines.
  • Alternative MCP Transports: Support for HTTP/SSE and WebSocket transports for remote MCP hosting.

[!NOTE] Have a feature request? We value community feedback. Please open an issue on our GitHub repository to suggest new features or report bugs.