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.
LatchLoop for knowledge work
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
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
Step 1
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
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
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
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.
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.
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.
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
browser and knowledge-work agent
Compare LatchLoop and Energy for browser-based knowledge work, assistants, team collaboration, coding agents, model choice, integrations, audit trails, and pricing.
open-source self-improving AI agent
Compare LatchLoop and Hermes Agent for self-hosted agents, persistent memory, multi-channel automation, coding workflows, and pull request-based development.
local-first personal AI assistant
Compare LatchLoop and OpenClaw for local-first personal AI assistants, multi-channel automation, coding tasks, GitHub workflows, and pull request review.
self-hostable multiplayer human-and-agent workspace
Compare LatchLoop and Buzz.xyz for multiplayer human-agent rooms, agent-to-agent coordination, session titles, coding workflows, self-hosting, and review.
no-code business agent and AI assistant
Compare LatchLoop and Lindy for knowledge work, connected agents, team workflows, artifacts, memory, and automation.
autonomous general-purpose agent
Compare LatchLoop and Manus for knowledge work, connected agents, team workflows, artifacts, memory, and automation.
multi-model general-purpose super agent
Compare LatchLoop and Genspark Super Agent for knowledge work, connected agents, team workflows, artifacts, memory, and automation.
unified coding and knowledge-work agent family
Compare LatchLoop with the unified ChatGPT Work and Codex family across coding, knowledge work, computer use, automation, collaboration, ownership, and review.
cross-device knowledge-work agent
Compare LatchLoop and ChatGPT Work for cross-device knowledge work, computer use, connected apps, scheduled tasks, collaboration, memory ownership, and coding handoff.
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.
Build as fast as you can think.
LatchLoop works where you do to build with you.