TLDRGraph
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Dynamic Multi-Layer Code Flow, Instant Semantic Call Tracing, and Interactive Architectural Navigation.
TLDRGraph
TLDRGraph turns a repository into a source-backed feature catalog and interactive
Workflow Explorer. Your coding agent reads the repository, identifies meaningful
product and technical capabilities, and records every displayed step with file,
symbol, and line-range evidence.
TLDRGraph does not run an AI process itself and does not infer workflows from a
static graph. It coordinates direct catalog and workflow artifacts with the
coding agent that already has your repository open.
Install
pip install tldrgraph
Generate a catalog
Run this inside a supported coding-agent session:
tldrgraph init
When init reports needs_feature_workflows, it includes the current source
hash. The active agent identifies feature outcomes and immediately writes the v4.tldrgraph/features.yaml index. It delegates one indexed feature to each
source-reading subagent; each worker writes only its own v4 workflow file. Runtldrgraph init again to validate the artifacts and generate the explorer.
When repository source changes after a catalog exists, run tldrgraph refresh
instead. It performs the same validation and generation flow while making the
update intent explicit.
The final artifacts are:
.tldrgraph/features.yaml.tldrgraph/workflows/<feature_id>.yaml.tldrgraph/TLDRGRAPH_VISUALIZER.html
Explore
tldrgraph ui --serve
The standalone browser application groups product and technical capabilities,
draws each proven workflow, and opens cited source ranges from the repository.
CLI
tldrgraph init [PATH] [--json]
tldrgraph refresh [PATH] [--json]
tldrgraph ui [--path PATH] [--serve] [--port PORT] [--open|--no-open]
tldrgraph install [--path PATH] [--all-agents]
Version 0.3 is a breaking, workflow-only release. Earlier graph-based commands
and v1/v2 generated artifacts are not supported; run tldrgraph init to create
the current catalog, then tldrgraph refresh after later source changes.
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