spikuit-cli
The spkt command — CLI for Spikuit, a knowledge base that gets smarter the more you use it.
⚠️ Pre-1.0 / under active development. Expect frequent breaking changes until v1.0.0.
spikuit-cli installs the spkt command and pulls in
spikuit-core[engine] so you get
the full Brain engine (FSRS + knowledge graph + spreading activation) out of
the box.
pip install spikuit-cli
spkt --help
If you want the CLI plus everything else under one install target, use the
spikuit metapackage instead.
Quick start
# Create a brain in the current directory
spkt init -p openai-compat \
--base-url http://localhost:1234/v1 \
--model text-embedding-nomic-embed-text-v1.5
# Ingest a source
spkt source ingest https://en.wikipedia.org/wiki/Monad_(category_theory) -d math
# Search the graph
spkt retrieve "What is a monad?"
# Review what's due (FSRS)
spkt neuron due
spkt neuron fire <id> -g fire
# Export a read-only bundle for a server
spkt export qabot --output ./brain.db
Resource-oriented commands
| Resource | Subcommands |
|---|---|
spkt neuron |
add, list, inspect, remove, merge, due, fire |
spkt synapse |
add, remove, weight, list |
spkt source |
learn, list, inspect, update, refresh |
spkt domain |
list, rename, merge, audit |
spkt community |
detect, list |
spkt skills |
install, list |
Plus root commands: init, config, stats, retrieve, quiz,
visualize, embed-all, export, import, diagnose, progress.
All commands support --json for machine-readable output and --brain <path> to target a specific Brain.
Links
- Documentation: https://takyone.github.io/spikuit/
- CLI reference: https://takyone.github.io/spikuit/cli/
- Source: https://github.com/takyone/spikuit
- Issues: https://github.com/takyone/spikuit/issues
License
Apache-2.0
1 maintainer
Metadata
1 maintainer
Release files for spikuit-cli 0.9.0
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