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SwarmClaw
A self-hosted multi-agent AI runtime and control plane for autonomous agents, delegated work, schedules, provider management, MCP support, and chat-platform connectors.
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Where it fits
SwarmClaw is a self-hosted multi-agent AI runtime and control plane for running autonomous agents, delegating work, managing providers, scheduling tasks, connecting agents to chat platforms, and supporting MCP-based integrations.
It belongs in Open Orchestrators because its public surfaces describe delegation, memory, schedules, connectors, OpenClaw integration, provider management, and structured multi-agent work as core capabilities.
Builder web analytics
Measure projects built with SwarmClaw
SwarmClaw can run delegated and scheduled agent work. Agent Analytics gives scheduled SwarmClaw tasks the user-event data needed to pick the next improvement.
Install Agent Analytics around the project surface SwarmClaw agents change first, then keep the activation event set small until the builder loop is working.
First loop to measure
- a SwarmClaw agent ships a page, docs update, onboarding change, connector guide, or install-flow improvement
- the changed surface reports visits, sources, install intent, setup starts, signups, provider connections, first projects, or equivalent activation events to Agent Analytics
- a scheduled SwarmClaw task fetches the Agent Analytics results
- the task reviews project usage and assigns the next improvement
Copyable prompt
Use Agent Analytics for this project. If event reporting is missing, add the tracker and report events for this project surface, including SwarmClaw-built page, traffic source, install intent, setup path, signup, or activation event. Verify events are arriving. Then fetch the last 7 days and compare them with the prior 7 days. Tell me which SwarmClaw-built page, traffic source, install intent, setup path, signup, or activation event moved users toward value, where users dropped off, which sources mattered, and what my agent workflow should improve next.
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