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Use cases

Wherever agents
work in parallel.

Several agents, handing findings to each other, under a human eye.

  1. 01

    Legal Teams

    Split the research. Cross-check the findings.

    One agent on case law, one on contract terms, a reviewer re-checking citations.

  2. 02

    Research & Analysis

    Several lines of inquiry. At once.

    One agent per approach. A reviewer reads across all of them for where conclusions disagree.

  3. 03

    Security Engineer

    Watch what the agent actually does.

    Tool calls and edits in the open, with a second agent reviewing the first.

  4. 04

    AI Startup

    Prototype your multi-agent product.

    Wire agents together, read their messages, find out why Agent #4 keeps reverting Agent #2.

  5. 05

    Open Source Maintainer

    Take the grind out of the backlog.

    Agents triage, reproduce and draft fixes. You review before any PR goes out.

  6. 06

    Compliance & Audit

    Check every framework in parallel.

    SOC 2, GDPR and HIPAA each get an agent. A reviewer re-checks every finding.

  7. 07

    Enterprise Governance

    Keep autonomous agents under human eyes.

    Each agent runs in its own pane on your hardware, where a human reads it and decides whether it continues.

  8. 08

    DevOps & Platform

    A reviewer on every infra change.

    Read the diff as it forms. Put a second agent on security and cost before apply.

  9. 09

    Data Engineering

    One agent per pipeline stage.

    One builds the ETL, one validates, one writes tests. Catch bad data before it moves downstream.

  10. 10

    Technical Writer

    Close the gap between code and docs.

    One finds the drift, one drafts the update, one checks it against the code.

  11. 11

    Incident Response

    Hit it from every angle at once.

    Agents on logs, metrics, deploys and config, reporting in parallel.

  12. 12

    Education & Training

    Show the reasoning, not just the answer.

    Students follow every tool call; side-by-side panes compare providers and prompts.

Same idea, every time

Agents in panes.
A human reading.

Whatever the job, you see the work as it happens and decide what ships.

An agent pane showing a diff to a test file, the test run passing, and the agent's summary.

Free · Open source · Apache 2.0

Try AgentMux.

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Alpha software. Features may be incomplete or unstable. AI agents generate content that may be inaccurate — always review outputs. Report issues