OpenLore

Persistent architectural memory for this codebase. Call `orient(task)` before reading source files to get the relevant functions, callers, spec sections, and insertion points for any task — one structural lookup instead of file-by-file rediscovery.

Run a full static analysis of a project using openlore and summarise the results — architecture, call graph, top refactoring issues, and duplicate code. No LLM required.

Transform a feature idea into an annotated story. Detects greenfield vs brownfield automatically — uses Domain Sketch for greenfield (no existing code), Constrained Option Tree for brownfield (existing codebase with openlore analysis).

Debug a problem by anchoring root-cause analysis in openlore structural knowledge. Uses orient + search_specs + analyze_impact to form an explicit hypothesis before reading code. Enforces RED/GREEN test verification.

Apply the refactoring plan produced by openlore-plan-refactor. Reads .openlore/refactor-plan.md and re-reads it before each change to stay on track. Requires a confirmed plan to exist before running.

Reverse-engineer OpenSpec specifications from an existing codebase. Performs "code archaeology" — extracting what code actually does and documenting it as structured OpenSpec specs across all detected domains.

Implement a story on a brownfield codebase using openlore structural context. Runs orient + risk check before coding, validates against specs, enforces a test gate before drift check.

Identify the highest-priority refactoring target using static analysis, assess its blast radius, and produce a detailed written plan saved to .openlore/refactor-plan.md. Makes no code changes.

Risk-aware code review using detect_changes + get_minimal_context + get_cluster. Surfaces the riskiest changed functions, interprets callType/coverage/cluster density, and produces a go/no-go recommendation. No code written.

Write real tests for a function or spec scenario — language-agnostic (TypeScript, Python, C++…). Reads the implementation and spec contract first, runs tests, fixes failures. No stubs, no placeholders.

Run a full static analysis of a project using openlore and summarise the results — architecture, call graph, top refactoring issues, and duplicate code. No LLM required.

Transform a feature idea into an annotated story. Detects greenfield vs brownfield automatically — uses Domain Sketch for greenfield (no existing code), Constrained Option Tree for brownfield (existing codebase with openlore analysis).

Debug a problem by anchoring root-cause analysis in openlore structural knowledge. Uses orient + search_specs + analyze_impact to form an explicit hypothesis before reading code. Enforces RED/GREEN test verification.

Apply the refactoring plan produced by openlore-plan-refactor. Reads .openlore/refactor-plan.md and re-reads it before each change to stay on track. Requires a confirmed plan to exist before running.

Reverse-engineer OpenSpec specifications from an existing codebase. Performs "code archaeology" — extracting what code actually does and documenting it as structured OpenSpec specs across all detected domains.

Implement a story on a brownfield codebase using openlore structural context. Runs orient + risk check before coding, validates against specs, enforces a test gate before drift check.

Identify the highest-priority refactoring target using static analysis, assess its blast radius, and produce a detailed written plan saved to .openlore/refactor-plan.md. Makes no code changes.

Risk-aware code review using detect_changes + get_minimal_context + get_cluster. Surfaces the riskiest changed functions, interprets callType/coverage/cluster density, and produces a go/no-go recommendation. No code written.

Write real tests for a function or spec scenario — language-agnostic (TypeScript, Python, C++…). Reads the implementation and spec contract first, runs tests, fixes failures. No stubs, no placeholders.