Paca

AI-native project management platform where AI agents and humans collaborate as Scrum teammates on the same board and sprints. Configurable via config files and WASM plugins (alternative to Jira, Trello, ClickUp and Monday).

Healthy · 74
74/100
Healthy

Actively maintained with regular releases.

Maintenance 27/40
Releases 25/25
Community 9/20
Momentum 13/15

Commit activity more than 67% of tracked projects; popularity more than 47%. How this is calculated.

Commits, last 11 months

2025-10: 0 commits 2025-11: 0 commits 2025-12: 0 commits 2026-01: 0 commits 2026-02: 0 commits 2026-03: 0 commits 2026-04: 0 commits 2026-05: 0 commits 2026-06: 0 commits 2026-07: 264 commits 2026-08: 314 commits
2025-10 578 total 2026-08
Stars1.9k
Latest releasev0.17.0 · 24 Sept 2026
Repo updated27 Sept 2026
LicenceApache-2.0
Built withDocker, K8S

Is Paca actively maintained?

Development is ongoing. The repository recorded 578 commits over the same window, and the last three months alone account for 578 of them.

The most recent tagged release, v0.17.0, shipped within the last month — a current, installable version exists today.

Of the 45 projects we track in Software Development - Project Management, Paca ranks #9 by health score — in the top quarter of its category.

What Paca actually does

Paca is an AI-native project management platform designed to let artificial intelligence agents and humans collaborate directly as Scrum teammates on shared boards and sprints. It functions as an alternative to traditional tools like Jira and Trello, allowing you to configure workflows using configuration files and WebAssembly plugins. The software is released under the Apache-2.0 licence and is hosted via containerised environments.

Best fit: Teams looking to experiment with AI-driven project management workflows and customisable Scrum boards hosted on their own infrastructure.

Worth knowing: It is an emerging alternative to heavily entrenched commercial tools, meaning you may encounter rough edges, immature documentation, or a smaller community compared to established market leaders.

Deployment notes

Because the platform is distributed for Docker and Kubernetes, you will typically need to provision persistent storage volumes for stateful data and configure an ingress controller or reverse proxy to handle TLS termination.


Alternatives to Paca

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