- Add 'liquid' to Language type and default include patterns
- Create LiquidExtractor with regex-based extraction (tree-sitter-liquid has ABI issues)
- Extract render/include/section references as component nodes
- Extract schema blocks as constant nodes with parsed names
- Extract assign statements as variable nodes
- Create file relationship edges for snippet/section references
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Added claude-md-template.ts with the instructions template
- Installer writes to ~/.claude/CLAUDE.md (global) or ./.claude/CLAUDE.md (local)
- Smart detection: updates existing CodeGraph section or appends if not found
- Uses HTML comment markers for reliable section replacement on upgrades
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
The installer runs `npm install -g @colbymchenry/codegraph` so users
can simply run `codegraph init -i` instead of the full npx command.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Users running via npx don't have the codegraph command installed
globally. Update installer message and README to use
npx @colbymchenry/codegraph init -i instead.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Change static import to dynamic import() for @xenova/transformers
which is an ESM-only package. This fixes ERR_REQUIRE_ESM when
running via npx in CommonJS environments.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- New `codegraph install` command and auto-run when invoked with no args
- Beautiful ASCII banner using figlet
- Interactive prompts for global (~/.claude) or local (./.claude) installation
- Writes MCP server config to claude.json
- Writes auto-allow permissions to settings.json
- For local installs: auto-initializes project, indexes, and installs git hooks
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Instead of returning file paths for Claude to read separately,
codegraph_explore now:
- Reads relevant files internally using fs
- Extracts code snippets for key symbols (functions, types, APIs)
- Includes the code directly in the response
- Returns a synthesis with data flow and key code included
This matches native explore agent behavior where file reading
happens in the sub-agent context, keeping main context clean.
Bump version to 0.1.8
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Move warnings to TOP of output so Claude sees them first
- If existing implementations found: "STOP: Similar implementations exist!"
- If feature request: "BEFORE PLANNING: Use AskUserQuestion to clarify..."
- Update tool description to emphasize checking existing code first
- Fixes issue where Claude listed questions but never asked them
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Pattern generation now uses multiple naming conventions:
PascalCase, snake_case, and camelCase
- Common suffixes/prefixes work across languages (Service,
Handler, Controller, handle_, create_, etc.)
- Removed JS/React-specific patterns like useBundle, SwapDialog
- Bump version to 0.1.6
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add codegraph_explore MCP tool for deep exploration with condensed output
- Expand default exclude patterns for framework build outputs (.next, .nuxt, .expo, etc.)
- Increase node ID hash length from 16 to 32 chars to prevent collisions
- Add feature request detection with UX clarification reminders
- Update README with MCP tools reference and best practices
- Update CLAUDE.md with context usage guidelines
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add evaluation test suite with TypeScript and Python fixtures
- Fix MCP server to defer CodeGraph init until rootUri received
- Fix call edge extraction by calling resolveReferences() after indexAll/sync
- Fix glob matching for root-level files (e.g., **/*.py now matches auth.py)
- Fix duplicate node extraction for methods inside classes
- Update context tests to use buildContext for semantic search + graph traversal
- Export unused formatter functions to fix build
Evaluation results:
- TypeScript: 96% precision, 79% recall, 85% F1
- Python: 99% precision, 80% recall, 85% F1
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Colby McHenryandClaude Opus 4.5