Manage 18 agents from a Notion workspace
Notion MCP Challenge Entry — Use Notion as the human-in-the-loop command center for managing OpenClaw AI agents. Task: Notion MCP Challenge Entry — Use Notion as the human-in-the-loop command center for managing OpenClaw AI agents. AgentOps turns your Notion workspace into a fully functional agent operations control plane. Monitor your OpenClaw fleet, dispatch tasks, track token usage, tune agent prompts, and backup your entire configuration — all through Notion. Humans stay in control. Every agent, task, and configuration lives in Notion. Edit a page to pause an agent. Change a priority by updating a select field. Notion is the database. 📸 Screenshots Dashboard Real-time overview of your OpenClaw agent fleet — 18 agents, success rate, token usage, pipeline health, and recent activity. Agent Registry All 18 OpenClaw agents with status, schedules, and one-click pause/resume. Filter by type: cron, monitor, heartbeat, subagent, or demo agents. Task Queue Priority-based task queue with status tracking. Create tasks manually or let the…; tools: OpenClaw. Human role: The original post does not say how a person stayed involved.; limitations: The architecture relies on a 10-second polling loop, which may introduce latency or race conditions if multiple agents write concurrently, though the author claims temporal isolation prevents this. Notion API rate limits and costs are not detailed. The system is described as a hackathon project, implying potential lack of production-grade security or scalability. Human control depends entirely on Notion's interface and API availability..
Tools
Published on Agent Work Atlas:
Overview
Notion MCP Challenge Entry — Use Notion as the human-in-the-loop command center for managing OpenClaw AI agents.
Workflow
Notion MCP Challenge Entry — Use Notion as the human-in-the-loop command center for managing OpenClaw AI agents. AgentOps turns your Notion workspace into a fully functional agent operations control plane. Monitor your OpenClaw fleet, dispatch tasks, track token usage, tune agent prompts, and backup your entire configuration — all through Notion. Humans stay in control. Every agent, task, and configuration lives in Notion. Edit a page to pause an agent. Change a priority by updating a select field. Notion is the database. 📸 Screenshots Dashboard Real-time overview of your OpenClaw agent fleet — 18 agents, success rate, token usage, pipeline health, and recent activity. Agent Registry All 18 OpenClaw agents with status, schedules, and one-click pause/resume. Filter by type: cron, monitor, heartbeat, subagent, or demo agents. Task Queue Priority-based task queue with status tracking. Create tasks manually or let the…
Reported result
The author reports managing 18 agents with 78 runs logged and 128K+ tokens tracked. Specific operational outcomes include clearing 47 vendor lists via an unsubscribe agent and receiving real-time train notifications. The system enables portable agent migration between Raspberry Pi, Lightsail, and serverless environments. No independent verification of these metrics or long-term stability is provided in the source.
Human role
The original post does not say how a person stayed involved.
Limitations
The architecture relies on a 10-second polling loop, which may introduce latency or race conditions if multiple agents write concurrently, though the author claims temporal isolation prevents this. Notion API rate limits and costs are not detailed. The system is described as a hackathon project, implying potential lack of production-grade security or scalability. Human control depends entirely on Notion's interface and API availability.
Try it
I want to set up a Notion-based control plane for managing AI agents. First, create a Notion workspace with four databases: 'Agent Registry' (fields: Name, Status, Schedule, Config), 'Task Queue' (fields: Priority, Status, Assigned Agent), 'Run Log' (fields: Input, Output, Duration, Tokens), and 'Alerts' (fields: Message, Acknowledged). Next, configure a Node.js script that polls these databases every 10 seconds. When 'Agent Registry' status changes to 'paused', the script must stop dispatching tasks to that agent. When a new row is added to 'Task Queue', the script should assign it to an active agent and update the status to 'running'. Log all executions in 'Run Log'. Before running this on real agents, perform a dry run with three dummy agents and five sample tasks. Verify that pausing an agent in Notion immediately stops task assignment. Confirm that task completion updates the 'Run Log' accurately. Only proceed to connect real OpenClaw agents after validating this logic with the dummy data. Ensure no sensitive API keys are stored in plain text within Notion pages.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.