Autopilot and chat

AgentRuntime provides two chat surfaces:

• Console Chat (/chat) — Autopilot copilot with thread list and streaming responses
• Workspace chat (space.agentruntime.io) — Team channels and agent rooms (separate app)

This page covers Console Autopilot and how it relates to workflows.

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Autopilot modes

Autopilot is the AI assistant built into the Console. It streams responses in the Chat panel and can take actions on your behalf: Autopilot uses your project context (tenant, project, role) and calls BFF endpoints at /v1/autopilot/*.

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What Autopilot can do with workflows

Today Autopilot supports workflow-oriented actions including:

• create_workflow — Start a new workflow from a description
• scaffold_starter — Generate a starter graph template
• run_workflow — Start a run on an existing workflow
• Navigate — Open Workflow Studio or Command Center

Ask Autopilot to “create a workflow that emails a summary” or “run the daily report workflow” to use these actions.

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Chat threads

The Chat page lists conversation threads persisted per user and project. Messages stream over /v1/autopilot/stream with token-by-token delivery. Threads are separate from workflow runs, but messages can reference runs, workflows, and pending human tasks as the integration matures.

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Platform agents

Agents (sidebar, feature-flagged in some environments) are reusable agent definitions installed in your project. They participate in dm and channel rooms — distinct from Autopilot. Platform agents run multi-turn loops with MCP tools and memory, using AgentRuntime’s chat runtime rather than the workflow DAG engine.

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Workspace chat (space)

The team workspace at space.agentruntime.io provides Slack-shaped channels, Autopilot DM, threads, and workflow system cards. It shares authentication with the Console via .agentruntime.io cookies, so signing in to one signs you in to the other. Use Console Chat for your own copilot tasks; use workspace chat for team coordination and agent room participation.

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Memory (knowledge layer)

AgentRuntime includes a memory layer for long-term knowledge — search, extraction, and episodic memory scoped by tenant and project. Memory tools are available to agents and workflow prepare-step hooks. Console memory UI may be feature-flagged; the APIs are available at /v1/memory/* for contributors.