kvgit 🔀
Git-style versioning for your data. Commits, branches, and merges -- backed by a dict-like MutableMapping.
| Features | Description |
|---|---|
| Dict interface | MutableMapping[str, Any] -- reads and writes work like a dict |
| Commits | Immutable, content-addressable snapshots with rollback |
| Branches | Cheap forks with CAS-based optimistic concurrency |
| Three-way merge | Auto-merges non-overlapping changes; pluggable merge fns for conflicts |
| Pluggable backends | In-memory, disk (diskcache), IndexedDB (Pyodide/browser), or bring your own KVStore |
| Chunked codecs | Optional content-addressed dedup for large numpy arrays and pandas DataFrames -- equal buffers stored once across keys, commits, and branches |
Install
pip install kvgit # in-memory only
pip install kvgit[disk] # adds disk backend via diskcache
pip install kvgit[scientific] # adds chunked codecs for numpy / pandas
# IndexedDB backend is available automatically in Pyodide (browser) environments
Quick example
import kvgit
main = kvgit.store()
main["user"] = "alice"
main["score"] = 0
main.commit()
# Branch and diverge
dev = main.create_branch("dev")
dev["score"] = 999
dev.commit()
print(main["score"]) # 0 (main unchanged)
print(dev["score"]) # 999 (dev branch)
Chunked codecs (numpy / pandas)
Large numpy arrays and pandas DataFrames -- and any sliced views of them -- can be stored once and shared across keys, commits, and branches:
import kvgit
import numpy as np
s = kvgit.store(codecs="scientific")
big = np.arange(1_000_000, dtype="float64") # ~8 MB
s["full"] = big
s["head"] = big[:100_000]
s["tail"] = big[-100_000:]
s.commit()
# All three keys reference the same chunk on disk -- ~8 MB total, not ~24 MB.
Pandas DataFrames piggyback on the numpy codec via their underlying block ndarrays. See docs/quick-start.md and the API reference.
Part of the agex stack
kvgit provides versioned agent memory in agex with branching and rollback. It also works as a versioned backing store for monkeyfs virtual filesystems -- pass a Staged instance anywhere a dict is expected.
Development
uv sync --extra dev
uv run pytest
Documentation
See docs/ for detailed documentation:
- Quick Start -- common patterns with runnable examples
- API Reference -- full reference for all classes, methods, and types
- Browser persistence (Pyodide) -- choosing between the IndexedDB and OPFS-mounted-disk backends, plus the syncfs flush requirement and recommended host-side patterns
1 maintainer
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