Introduction
The agentic workspace where people and AI coding agents share one understanding of every project.
Introduction
Most of us aren't really writing code anymore. We're directing agents that do. But those agents have no memory. Every session starts from zero, and engineers spend their time re-explaining what was built, why decisions were made, and what still needs to happen. That's not engineering; that's babysitting.
Piyaz replaces that cycle. It's the agentic workspace where people and AI coding agents share one understanding of every project. Piyaz creates tasks, refines them, plans implementations, provides the right context at the right stage, and tracks everything that happens. Your agent harness doesn't need a briefing. It walks into every session knowing exactly what to do next and why.
Two core concepts
- Context network: a living map of your project that captures not just what was built, but why decisions were made, what was tried and abandoned, and how parts of the codebase relate.
- Context retrieval interface: four context shapes, one per job. A task reads as a quick
summary, aworkingview for refining, aplanningview for writing the implementation plan, or a fullagentview for coding. Each stage gets the slice it needs, not the whole project.
Together they drive the full lifecycle: Brainstorm → Decompose → Refine → Plan → Execute → Track.
What you get
- Hosted at app.piyaz.ai: create an account, install the plugin, and sign in once. It works across every project you open, with no server to run and no database to manage.
- A plugin for your coding agent: Claude Code, Codex, Cursor, and Antigravity. It carries the
/piyazskill, the workflow skills (brainstorm, decompose, manage, and more), and the dispatchable agents. - Composer: on Claude Code, an end-to-end loop that researches a task against your codebase, writes the plan, implements it on a branch, and opens a pull request, then picks up the next ready task. See the composer pipeline.
- Six MCP tools (
piyaz_project,piyaz_task,piyaz_edge,piyaz_query,piyaz_context,piyaz_analyze): the programmatic surface your agent calls directly. - A web app: Structure mode for the task list and detail workspace, Graph mode to watch the context network fill in.
- Open source: Piyaz is AGPL-3.0. Run your own instance on PostgreSQL and Next.js whenever you want. See the self-host guide.
Who it's for
Engineers who work primarily through AI coding agents (Claude Code, Codex, Cursor, Antigravity) on projects big enough that context from one session has to reach the next agent, and the one after that.