piyaz
Reduces friction between human developers and AI coding agents by providing a shared workspace, lowering integration overhead and improving code review cycle…
An agentic workspace where people and AI coding agents — Claude Code, Codex, Cursor, Antigravity — work on the same project. Projects become a shared graph of tasks and dependencies; each task carries its plan, standards, and prior decisions, and agent work stops at in_review where a review agent returns a file-cited verdict before merge. On Claude Code, Composer can take a task from research through an open PR autonomously. Hosted service is in closed beta; self-hosting is free under AGPL-3.0.
- Decompose an idea or existing codebase into a dependency-tracked task graph
- Run several coding agents on the same project without collisions, each claiming ready tasks with full context
- Gate all agent work behind a review step with security/performance/reliability verdicts before merge
Reduces friction between human developers and AI coding agents by providing a shared workspace, lowering integration overhead and improving code review cycles in mixed human-AI teams.
Engineering teams adopting AI-assisted development workflows seeking structured collaboration between engineers and coding agents.
https://github.com/FrkAk/piyaz
By FrkAk
How to Get It
Closed beta: join the waitlist at https://app.piyaz.ai/sign-up, then install the plugin for your agent per https://docs.piyaz.ai. Self-host: run the Piyaz server yourself (requires Bun and Docker) per the self-host guide.
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
After installing, paste this into Claude:
Help me decompose an idea or existing codebase into a dependency-tracked task graph
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 118 GitHub stars; contributors unknown; last commit 1d ago; license AGPL-3.0.
Things to check
- Hosted service is in closed beta — new accounts open in waitlist batches, so you may not be able to try it immediately. Self-hosting requires Bun and Docker (PostgreSQL) and is licensed AGPL-3.0.
- License (AGPL-3.0) may restrict commercial use. Check with your legal team.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 118 GitHub stars; contributors unknown; last commit 1d ago; license AGPL-3.0.