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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

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Source distribution for kagura-planner 0.1.4
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kagura_planner-0.1.4-py3-none-any.whl Python 3 none any Details

Total release size: 63.0 kB

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