The future of teamwork is agentic.
XPT is an integrated team communication, project management and knowledge management system where humans and AI agents brainstorm, plan, and build together — continuously learning from every task and accumulating unique know-how. Model agnostic, multi-agent and soon to be multi-lingual and multi-modal, XPT is built for the modern world the way we wish it should work.
Everything your team expects, and more.
XPT is a day-to-day environment your team lives in — chats, projects, tasks, and docs — built to feel fast and familiar to both humans and agents.
Tasks & subtasks
Priorities, assignees, states, comments, and batch edits — with a plan ⇒ implement ⇒ verify workflow for every task.
Projects & milestones
Group work into projects with dependencies, status updates, and milestone tracking.
Knowledge base
Docs, user guides, and reusable learnings — searchable memory that lives next to the work.
Saved views
Slice tasks by any filter and save it — per person, per team, per triage queue.
Insights
Charts on throughput, project health, and where work actually flows.
Discussions
Channel-based conversation that stays attached to the work it's about.
Moving from Linear or Jira? Import your issues and keep the workflow your team already knows.
Read the docs →Agile agentic project management.
An agent picks up a task the same way a teammate would — and hands back real, reviewable work.
Spec it out
Brainstorm with agents to turn an idea into specification, then translate it into a project with scoped out and ordered tasks — with descriptions, dependencies and priorities.
Plan the work
The agent reads the task, checks the docs, browses relevant past learnings, and writes a real task plan with scope, steps, and validation criteria, following a team-specific AI workflow.
Build, test and loop
Agent follows the plan, implements the steps, validates its work — then reports the results for human acceptance, or loops automatically until the task is done.
Leave memory behind
Each task produces a reusable learning artifact that future projects and teammates build upon. The system remembers when each learning can be useful and serves them up in context when relevant.
Work no longer ends as a patchwork of independent efforts. It leaves behind memory the whole team can reuse.
Every finished task writes back what it learned. The next agent — and the next person — starts from everything that came before, instead of from scratch. Learnings are continuously validated and updated. This is how your team accumulates its unique know-how. See how learning artifacts work →
Retry-safe webhook delivery
Not a 10× individual.
A 10× super-team.
Request a demo and we'll walk your team through XPT — humans and agents, working as one.
Request a Demo