Aura CLI
Personal AI work assistant CLI for task management, workday sync, and productivity summaries.
Install
pip install aura-ai-agent
Requires Python 3.11+.
Commands
Tasks
aura tasks list # active tasks grouped by priority
aura tasks list --priority high # filter by priority
aura tasks list --status all # include completed
aura tasks create "Fix login bug" --priority high --due 2026-03-28
aura tasks start "Fix login" # mark in progress
aura tasks complete "Fix login" # mark done + auto-archive check
aura tasks snooze "Fix login" --until 2026-03-25
aura tasks search "authentication"
aura tasks archive # move 7+ day completed tasks to archive
aura tasks update "Fix bug" --priority high --due 2026-04-01
aura tasks update "Fix bug" --notes "waiting for design sign-off"
aura tasks update "Fix bug" --tags "bug,sprint-43"
aura tasks update "Fix bug" --due "" # clear due date
aura tasks start "Fix bug" --notes "starting investigation"
aura tasks complete "Fix bug" --notes "fixed in abc123, deployed"
Sources
aura sources list
aura sources add workiq --type mcp --fetch-hint "Fetch tasks since {start-date}."
aura sources add ado --type cli \
--fetch-hint "Fetch work items since {start-date}." \
--skill ado-cli
aura sources enable ado
aura sources disable ado
aura sources remove ado
Source names must contain only letters, digits, and underscores (no hyphens).
Dashboard
aura dashboard show # terminal snapshot
aura dashboard show --live # auto-refresh (Ctrl+C to stop)
aura dashboard show --interval 3 # refresh every 3 seconds
aura dashboard serve # web UI at http://localhost:3333
aura dashboard serve --port 8080
Data files
All data is stored locally:
~/.aura/
tasks/
task-workiq-ABC-123.json -- external source task
task-manual-a3f9b2.json -- manual task (6-char UUID)
archive/
task-workiq-OLD-001.json -- completed 7+ days ago
task-sources.json -- configured sources
last-sync.json -- written by start-workday workflow
On Windows ~ resolves to %USERPROFILE%, on macOS/Linux to $HOME.
Task sources
Two source types:
| Type | How tasks are fetched |
|---|---|
mcp |
Agent calls the named MCP server using fetch_hint as instruction |
cli |
Agent uses the skill named in skill for fetch instructions; fetch_hint provides mapping hints |
Default source (workiq) is created automatically on first use.
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for aura-ai-agent 0.3.0
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 | |
|---|---|---|---|---|
| aura_ai_agent-0.3.0.tar.gz | 23.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aura_ai_agent-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 64.2 kB
Release files / aura_ai_agent-0.3.0.tar.gz
| Download URL | aura_ai_agent-0.3.0.tar.gz |
|---|---|
| Size | 23.9 kB |
| Tags | Source |
|
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? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.10
|
Release files / aura_ai_agent-0.3.0-py3-none-any.whl
| Download URL | aura_ai_agent-0.3.0-py3-none-any.whl |
|---|---|
| Size | 40.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
e60418af283a36f5b424134c3c72e0dec46469fc36bc81ba468e0196ca30f7b9
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.10
|
Security for aura-ai-agent 0.3.0
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