kagura-planner
Memory-grounded PLAN-layer CLI over Claude Code + Kagura Memory.
Setup
# 1. copy the template (your real config is gitignored, never committed)
cp repo.yaml.example repo.yaml
# 2. edit repo.yaml with your own values:
# memory_cloud_url, workspace_id, context_id
# 3. authenticate the Kagura Memory client (OAuth profile), or set KAGURA_API_KEY
kagura auth login
# 4. verify the dependency chain
kagura-planner doctor
repo.yaml is gitignored so your real workspace_id / context_id stay out of
version control. Point any command at an alternate config with -c/--config
(e.g. kagura-planner plan "..." -c ~/.kagura/planner.yaml).
Use as a Claude Code plugin
kagura-planner also ships as a Claude Code plugin (a kagura-planner:plan skill)
that drives the CLI from inside a session.
# 1. add this repo as a marketplace
/plugin marketplace add kagura-ai/kagura-planner
# 2. install the plugin
/plugin install kagura-planner@kagura-planner
# 3. ensure the CLI is installed (the skill shells out to it)
uv tool install kagura-planner # or: pipx install kagura-planner
Then ask Claude to plan an idea — the kagura-planner:plan skill recalls related
past work, produces a memory-grounded plan doc, and remembers it. The skill reads
the CLI's JSON envelope (plan --envelope); it never reimplements planning logic.
Release files for kagura-planner 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| kagura_planner-0.1.4.tar.gz | 36.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| kagura_planner-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.0 kB
Release files / kagura_planner-0.1.4.tar.gz
| Download URL | kagura_planner-0.1.4.tar.gz |
|---|---|
| Size | 36.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / kagura_planner-0.1.4-py3-none-any.whl
| Download URL | kagura_planner-0.1.4-py3-none-any.whl |
|---|---|
| Size | 26.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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 Jun 11, 2026.
Transparency log