docketeer-git
Git-backed workspace backup plugin for
Docketeer. Automatically commits the
agent's workspace (~/.docketeer/memory/) to a local git repo on a timer, and
optionally pushes to a remote for off-machine backup.
Install docketeer-git alongside docketeer and backups start automatically.
No agent-facing tools are added — the agent doesn't know about backups.
Configuration
| Variable | Default | Description |
|---|---|---|
DOCKETEER_GIT_BACKUP_INTERVAL |
PT5M |
How often to check for changes (ISO 8601 duration or seconds) |
DOCKETEER_GIT_REMOTE |
(empty) | Remote URL to push to. No push if unset. |
DOCKETEER_GIT_BRANCH |
main |
Branch name to use |
DOCKETEER_GIT_AUTHOR_NAME |
Docketeer |
Git author name for backup commits |
DOCKETEER_GIT_AUTHOR_EMAIL |
docketeer@localhost |
Git author email for backup commits |
How it works
A periodic docket task checks the workspace for uncommitted changes every 5
minutes (configurable). If anything changed, it stages everything and commits.
When an inference backend is available, the commit message is generated from
the diff by the LLM; otherwise it falls back to a timestamped message. If
DOCKETEER_GIT_REMOTE is set, it pushes after each commit. Push failures are
logged but don't crash the agent.
The git repo is initialized automatically on first run. You can browse the
history with standard git tools (git log, git diff, etc.) in the workspace
directory.
Metadata
Release files for docketeer-git 0.0.17
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| docketeer_git-0.0.17.tar.gz | 5.5 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| docketeer_git-0.0.17-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.8 kB
Release files / docketeer_git-0.0.17.tar.gz
| Download URL | docketeer_git-0.0.17.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
19077076c52c211b336455df86f1a718d04874efdfc2c305e783b98af06b9d80
|
|
BLAKE2b-256 checksum How to use checksums |
d332601ce96ff3d460a9c8e34429d668c787622fe63fee91a982c44c81971945
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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Signed by GitHub Actions, verified by PyPI on Mar 11, 2026.
Transparency logRelease files / docketeer_git-0.0.17-py3-none-any.whl
| Download URL | docketeer_git-0.0.17-py3-none-any.whl |
|---|---|
| Size | 4.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b3c63cb69a06d0f3a1512692b80ea4004ee6a35ac55a502e7accacbb335793ae
|
|
BLAKE2b-256 checksum How to use checksums |
6122eb7b722ef2522e369e2fca8552052762222df0f46d3d69862de566896c3a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 11, 2026.
Transparency logSecurity for docketeer-git 0.0.17
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for docketeer_git-0.0.17.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Mar 11, 2026.
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PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.