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Agentlas OS

An Apache-2.0 local-first agent operation environment that builds portable agent and team packages and runs them across supported coding hosts.

1.6k GitHub stars

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Where it fits

Agentlas OS is an Apache-2.0 agent operation environment for building, storing, borrowing, and running specialist agents and multi-agent teams. Its public package contract carries roles, tools, memory boundaries, permissions, routing, and verification requirements rather than binding an agent to one model workspace.

It belongs in Open Orchestrators because its core surface composes explicit agent roles into temporary task forces, validates exact runtime bundles, and executes them through supported hosts while keeping local project context, credentials, and permissions on the operator's machine.

Builder web analytics

Measure projects built with Agentlas OS

Agentlas OS can coordinate specialist agents that ship pages, docs, onboarding, apps, and experiments. Agent Analytics gives a follow-up agent user-facing outcome data after that work reaches users.

Install Agent Analytics on the user-facing surface Agentlas OS agents change. Agent Analytics measures product and web outcomes after deployment; it does not replace Agentlas OS routing, package, policy, or execution receipts.

First loop to measure

  1. an Agentlas OS task force builds and ships a user-facing change
  2. the changed surface reports visits, sources, CTA clicks, signup, activation, retention, funnels, or experiment events to Agent Analytics
  3. a follow-up Agentlas OS agent fetches the Agent Analytics results after deployment
  4. the next task force is scoped from measured user outcomes rather than only execution receipts

Copyable prompt

Use Agent Analytics for this project. If event reporting is missing, add the tracker and report events for this project surface, including Agentlas OS-built page, docs path, traffic source, CTA click, signup, activation event, funnel step, experiment, or shipped task. Verify events are arriving. Then fetch the last 7 days and compare them with the prior 7 days. Tell me which Agentlas OS-built page, docs path, traffic source, CTA click, signup, activation event, funnel step, experiment, or shipped task moved users toward value, where users dropped off, which sources mattered, and what my agent workflow should improve next.

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