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grounded-graph

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Graph traversal and context queries over code metadata. grounded-graph reads a grounded-index SQLite database and exposes call graphs, impact analysis, test discovery, and token-bounded context packs for AI coding agents.

Two storage backends:

  • Pure-Python (--backend python) — fast in-memory, no extra dependencies.
  • sqlitegraph (--backend sqlitegraph) — file-backed Rust graph with HNSW semantic search and persistent indexes.

Quick start

# 1. Index your project (produces .grounded-index.db)
grounded-index index .

# 2. Load the graph and check stats
grounded-graph index --backend python

# 3. Query
grounded-graph callers --symbol my_function
grounded-graph tests-for --symbol CustomerService
grounded-graph neighborhood --symbol my_function --depth 2 --budget 4000

What it does

Capability Description
Call graph callers, callees, impact, affected with kind-filtered traversal
Test mapping tests-for links tests to the symbols they exercise
Shortest path path --from A --to B between any two symbols
Context packs neighborhood returns priority-ranked, token-bounded symbol context
Semantic search HNSW-backed similarity search over symbol embeddings (sqlitegraph only)
Multi-kind edges Same node pair can carry call, defines, imports, and tests edges

See MANUAL.md for full CLI documentation and API.md for the Python API.

Install

pip install grounded-graph

Requires Python >= 3.10.

Version

Current version: 0.4.1

Metadata

Release files for grounded-graph 0.4.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for grounded-graph 0.4.1
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Table of built distributions (wheels) for grounded-graph 0.4.1
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grounded_graph-0.4.1-py3-none-any.whl Python 3 none any Details

Total release size: 66.9 kB

Release files / grounded_graph-0.4.1.tar.gz

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0.4.1 This release

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