Getting startedCreate your first initiativeConnect version controlInvite your teamPlan today's work
OverviewQuickstartHarness manifestACP contractDocuments & toolsMCP toolsDistributeRun & monitorBuild cloud agentAgent sessionsReferenceLimits & securityTroubleshooting
DocsAPI Reference

Main

  • Home
  • About
  • Pricing
  • Changelog
  • Docs

Features

  • Roadmap
  • Boards
  • Triage
  • Workflows & agents
  • Progress
  • Insights
  • CLI
  • Integrations

Solutions

  • Startups
  • Dev shops / agencies
  • Software teams
  • Internal IT & platform teams

Alternatives

  • vs Jira
  • vs Linear
  • vs Asana
  • vs Monday.com
  • vs ClickUp
  • vs Notion

Company

  • Blog
  • Security
  • Log in
  • Sign up
  • Terms of Use
  • Privacy Policy

Resources

  • Docs
  • Community
  • Support
  • API reference
  • Desktop app
  • SDK
  • Vault
  • QR code generator

© 2026 One Horizon. All rights reserved

FacebookInstagramThreadsXTikTokYouTubeMedium


Run and monitor your harness

Once installed and registered, a custom harness shows up in the same agent and task views as the built-in ones. How much detail appears depends on what your harness emits: activity, tool calls, usage, summaries, artifacts, and outcomes. The dashboard shows the harness name, version, manifest digest, and compatibility level, never its launch command or paths.

Each harness shows a compatibility level: Connected, Tools connected, Code verified, Plan/review verified, or Telemetry available. Installation only establishes Connected. The level is informational and does not change which modes the harness is offered.

Process model

The worker is the long-lived process: started by Desktop or one agent start, sending heartbeats, polling for eligible sessions, claiming work. Your agent process exists only during turns, spawned per turn and terminated after the stop reason. Consequences:

  • Your agent needs no daemon behavior, signal handling beyond normal termination, or restart logic.
  • Machine restarts, Desktop updates, and agent restarts (Desktop's restart controls, or one agent stop followed by one agent start) are invisible to you. The host re-establishes everything and your process is simply spawned again on the next turn.
  • Crash isolation is per turn: an agent crash fails that turn, with your stderr captured in the session log, and never takes down the worker.

Agents are machine-bound: the dashboard shows all of them, but starting, stopping, and restarting happen on the agent's own machine.

Monitoring in the dashboard

The host surfaces what it learns from your ACP updates:

SurfaceShows
Agents pageHarness name, version, online/offline, active turns, queue depth
Agent detailsHealth history, recent sessions, configured settings, harness version and manifest digest, compatibility level
Task / run viewLive activity from your message chunks, the plan panel from your plan updates, tool-call transcript
Session outcomeTerminal state with your summary; failures link the session log
UsageContext size and cumulative cost from your usage_update notifications. Input, output, and total tokens from the usage on each session/prompt response. The model from your model config option, with your harness as the model provider. See the ACP contract for how tokens are counted

Stalls and failures also raise the standard workflow notifications.

Logs

one agent logs prints the last 50 lines of the worker log and then follows new output: claiming, spawning, and outcomes. Per-session detail, including your agent's captured stderr, is attached to the session in the dashboard.

one agent logs

Log freely to stderr. stdout belongs to ACP; a stray print() to stdout is the most common conformance bug, and one harness dev catches it.

Upgrading safely

one harness update swaps versions between turns, never mid-turn. For harnesses you distribute to others, treat a turn as your compatibility unit: any version must be able to pick up any turn cold, because that is exactly what happens after every update, restart, and crash.

When something misbehaves, start from the symptom in troubleshooting.


PreviousDistributeNextBuild cloud agent

Monitoring

Inspect workflow runs, queued sessions, review gates, recovery actions, and agent health.

MCP tools

Every MCP tool the worker can register for a turn, generated straight from the harness tool catalog.

Overview

Plug any ACP-compatible agent into the worker. One Horizon handles auth, sessions, tools, and monitoring; you build the agent.

Distribute

How users install your harness: local path, ACP command, drop-in discovery, plus versioning, updates, and trust.

  • Process model
  • Monitoring in the dashboard
  • Logs
  • Upgrading safely
  • Back to top