LatchLoop for knowledge work

General AI agents for teams that want to own how their business works

Give knowledge-work agents browser use, connected tools, collaborative tasks, visible process, reusable automation, and a place to create polished artifacts and agent apps. LatchLoop can perform tasks in a web browser for you while keeping learned processes as inspectable, portable files in your own repository.

Why the interface matters

Your processes are an asset, not disposable chat history

When every business can access powerful models, advantage comes from how the business operates: its research methods, review standards, templates, decisions, and repeatable processes. LatchLoop makes that work visible and lets general-agent memory live in a GitHub repository you own, so it can be inspected, improved, and used with another harness.

How LatchLoop works

A complete workflow for directing agents, not just prompting them

Step 1

Create a real work brief

Use a document-like task instead of reducing a project to one message. Assign it, collaborate on requirements, attach context, and keep the goal visible throughout execution.

Step 2

Use the browser and approved tools

LatchLoop can perform tasks in a web browser for you, while plugins add MCP tools and skills for research, communication, project systems, finance, analytics, and more. Approval cards keep consequential actions in human control.

Step 3

Make useful deliverables

Agents can create Markdown, HTML, React, and other artifacts rendered directly on the task. Agent apps turn knowledge work into interactive tools without requiring separate hosting.

Step 4

Turn work into a system

Use automation loops for scheduled reports, monitoring, and follow-up. Keep larger projects and quick iterations beside them, with activity and memory the team can review.

Model and harness choice

Sign in with ChatGPT, run Codex or Claude Code with supported subscription-backed access, or bring supported provider keys without token markup. LatchLoop is focused on the best workflow, not promoting one foundation model.

Multiplayer by default

Share projects, assign tasks, co-edit descriptions, and send attributed direction on your own or a teammate’s task. Everyone can see what the people and the agent contributed.

Ownership and safety

LatchLoop does not train models on your code or persistently store your codebase. Every paid plan includes cloud-sandbox hours, and teams can launch as many concurrent runs as needed; code is accessed there only for the run, and cloud agents can also run without downloading it to a sandbox. Cloud coding runs stay on their assigned task branch, dangerous commands are guarded, and task message history can be deleted.

Research the market

Compare LatchLoop with leading agent platforms

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LatchLoop vs Energy

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Built by Velora. LatchLoop is created by a software company that has built products used by millions of people since 2009. The team uses LatchLoop to build and operate its own products, including Heights Platform, which serves more than 10,000 creator businesses.

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