Skip to main content

File-based multi-agent coordination protocol — per-role queues, Claude Code plugins, and per-role CODEX_HOME profiles for OpenAI Codex

Project description

greatminds

File-based multi-agent coordination for agent fleets and task pipelines.

PyPI version Python versions License Docs

greatminds runs a fleet of Claude, Codex, or Cursor agents on a shared filesystem-based finite state machine. Tasks flow through queues such as feature_inbox/, feature_plan/, feature_dev/, feature_test/, and verified/; a small coordd daemon nudges agents when input appears. There is no central broker and no database. Per-project setup writes coord.yaml; the per-user daemon can supervise multiple projects on one machine.

Quickstart

# install
pip install greatminds  # or: uv add greatminds

# bootstrap a project
mkdir -p /tmp/greatminds-demo
cd /tmp/greatminds-demo
greatminds setup --session myproject

# install the per-project daemon
greatminds daemon install
greatminds daemon start

# launch agents
greatminds launch --target tmux
tmux a -t myproject

The windows defined in coord.yaml boot inside one tmux session; each role starts in chat or loop mode according to that file.

Key Concepts

Documentation

Full documentation: https://veryviolet.github.io/greatminds/

Where to File Issues

Bugs in greatminds: https://github.com/veryviolet/greatminds/issues
Bugs in a project you use greatminds in: that project's issue tracker.

License

Apache-2.0. See LICENSE.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

greatminds-1.6.10.tar.gz (270.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

greatminds-1.6.10-py3-none-any.whl (322.1 kB view details)

Uploaded Python 3

File details

Details for the file greatminds-1.6.10.tar.gz.

File metadata

  • Download URL: greatminds-1.6.10.tar.gz
  • Upload date:
  • Size: 270.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for greatminds-1.6.10.tar.gz
Algorithm Hash digest
SHA256 1944b0cbb2fd7f46bd5da0b94978920a6a4e31d9e0ca4d5f0d37072c895d4973
MD5 e3898f35f7a8a9bc5029dccec8a401f4
BLAKE2b-256 cd578a657964fe1c77e4c2f2ca5c8dc122762f5db8005a803fcc2752dcc46d65

See more details on using hashes here.

Provenance

The following attestation bundles were made for greatminds-1.6.10.tar.gz:

Publisher: publish.yml on veryviolet/greatminds

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file greatminds-1.6.10-py3-none-any.whl.

File metadata

  • Download URL: greatminds-1.6.10-py3-none-any.whl
  • Upload date:
  • Size: 322.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for greatminds-1.6.10-py3-none-any.whl
Algorithm Hash digest
SHA256 8376c2263d6e68d30f3e05b20e6d85ca15755f47d9b52004500411e8d90934cf
MD5 7099a49df9a831a75130071db326dc7e
BLAKE2b-256 6d0dd4cadd2300789eafb93395e66e133176995ad3bb36e381485627d6d5a968

See more details on using hashes here.

Provenance

The following attestation bundles were made for greatminds-1.6.10-py3-none-any.whl:

Publisher: publish.yml on veryviolet/greatminds

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page