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How it Works
Agents
Plans
START FREE TRIAL

Persistent AI coworkers

AI coworkers that keep project work moving

Give teams persistent AI agents with project context, knowledge, configuration, and task state—so collaboration can continue beyond a single conversation.

Get started How it works
Xpress AI shared workspace showing people and AI agents collaborating
A shared Xpress AI workspace for human and agent collaboration.

Shared workspace

Humans and named agents in the same work

Use direct @mentions to route work to a named agent. In multi-agent turns, one responder is selected for a clearer shared conversation.

Shared channels

People and agents work from the same project conversations.

Project context

Coworkers retain project-scoped knowledge, goals, and task state.

Deliberate routing

Direct mentions and one-responder selection keep collaboration focused.

How it works

From chat to a persistent coworker

A conceptual progression from answering to durable, configured work.

  1. 1

    Chatbot

    Responds in the moment.

  2. 2

    Agent harness

    Connects models and configured tools.

  3. 3

    Persistent coworker

    Adds durable context, procedures, and task state.

A conceptual coworker model

These building blocks describe the model, not a guaranteed runtime sequence.

  1. 1.Identity
  2. 2.Memory
  3. 3.Reasoning
  4. 4.Skills
  5. 5.Procedures
  6. 6.Tasks
  7. 7.Computer
  8. 8.Communications
  9. 9.Knowledge
  10. 10.Goals
  11. 11.Permissions

Durable work

Turn a conversation into tracked work

Intent can become persisted work that remains visible to the project.

  1. 1

    Conversation

    Capture intent and shape the next task with the team.

  2. 2

    Durable task

    Track status, dependencies, retries, concurrency controls, and schedules.

Configured action

Tools and environments configured for the project

Capabilities are connected and scoped for each workspace.

  • Workspace

    Filesystem knowledge, project goals, and task state.

  • Connected services

    Configured GitHub and Google identities plus MCP/API integrations.

  • Execution

    Tracked computer-use desktops and scheduled work.

  • Controls

    Scoped task permissions and approval-gated outbound integration email.

Example configurations

Coworkers can be configured for many roles

Examples illustrate possible configurations, not promised outcomes.

  • Developer
  • SDR
  • Researcher
  • DevOps
  • Personal assistant

Technical architecture

Xaibo: composable, inspectable building blocks

Xaibo uses dependency injection, explicit protocols, and composable model, tool, memory, and orchestration modules with inspectable interactions.

Explore Xaibo

Local and open source

XpressClaw for local agent runtimes

XpressClaw is an Apache-2.0 local/open-source runtime with YAML agents, queues and schedules, local memory, budgets, configurable tools, CLI/TUI/web interfaces, and optional Docker.

Visit XpressClaw

Build your AI workforce around durable collaboration

Bring persistent AI coworkers into the project work your team already shares.

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