Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

StarPulse's star map: tasks, workflow runs and agents moving live

StarPulse

Every task, workflow run and agent in flight, on one live page.

CI status PyPI version Python version License: MIT

Live demo · Configure · Sources · Agent CLI · Adapters · Consumers · Security · Compatibility · Development loop · Contributing

What it is and why

I wanted to see where my agents were in their sessions and which skills they were using. Then I watched a video that mapped agent actions onto state machines, and I wanted to map the whole agent lifecycle and pair it with the Dagu workflows I already run, so scripts and DAGs could take over manual AI commands and cut the step count.

StarPulse is what I built. It shows tasks, workflow runs and agents on one live page. It produces data and leaves what to do with that data to you. It is not tied to one agent harness or one lifecycle: you define the states, and it draws and records them.

Quick start

uvx starpulse serve   # then open http://localhost:8766

The board starts empty.

Working with AI agents

An agent works the board through the starpulse CLI, every verb printing JSON (Agent CLI). uvx starpulse skills install --claude --codex copies the bundled skills into the project. For any other agent, add a section to AGENTS.md or CLAUDE.md:

## Tasks

This project tracks work on a StarPulse board. Run `uvx starpulse help --agent` for every verb, its
arguments and exit codes. Read the board with `uvx starpulse board` and open a task with
`uvx starpulse task create "<title>"`.

Working without AI agents

The same verbs work typed by hand, and New task on the Kanban adds a task from the page. Both write the same board.

Views

Kanban Orbit Workflow runs
Kanban view Orbit view Workflow runs view

Reads tasks from its own Markdown board, Backlog.md or Jira; runs from Dagu, GitHub Actions or systemd; agents from Claude Code and Copilot.

Status

StarPulse is early. This is my first open source project, and I am still learning how to run one. What is rough today:

  • The UI is messy and not fully implemented.
  • The data it captures is not yet acted on in full; the feedback loop from captured signal to changed behavior is incomplete.
  • Performance is good but could be better.

Feedback

Something broke, confused you or is missing? Open an issue. Say what you ran and what you expected. A confusing first run is a bug I want to hear about.

MIT licensed.

Metadata

Release files for starpulse 0.4.1b1785

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for starpulse 0.4.1b1785
File Size Uploaded Provenance
starpulse-0.4.1b1785.tar.gz 1.2 MB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for starpulse 0.4.1b1785
File Interpreter ABI Platform
starpulse-0.4.1b1785-py3-none-any.whl Python 3 none any Details

Total release size: 2.4 MB

Release files / starpulse-0.4.1b1785.tar.gz

Download URL starpulse-0.4.1b1785.tar.gz
Size 1.2 MB
Tags Source
SHA-256 checksum
How to use checksums
acac4bfd4de424100025db81a2e117d4f1e70a057a6e65c7aa6e96365cfe0033
BLAKE2b-256 checksum
How to use checksums
12d157e7c62218caa47794b6fa2978bb4c8bed9acc851988adb0aab1a3b91e4f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.13.4 {"installer":{"name":"uv","version":"0.13.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / starpulse-0.4.1b1785-py3-none-any.whl

Download URL starpulse-0.4.1b1785-py3-none-any.whl
Size 1.3 MB
Tags Python 3
SHA-256 checksum
How to use checksums
d803af538ef3de8de597da3437ff111e378505dab0f01ea1687ac3861f7ced38
BLAKE2b-256 checksum
How to use checksums
bb07319bb881665764a88780e862a6b0ced91809834b817f9f440cca3cbb6306
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.13.4 {"installer":{"name":"uv","version":"0.13.4","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Security for starpulse 0.4.1b1785

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

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.

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page