Backdrop

Backdrop is an AI coworker platform that officially supports more than 1,500 integrations. It lets teams use preset skills, build custom skills, or record demonstrations to teach agents, while shared memory connects people and agents in one continuous workflow.

AI Agents#AI colleague#Shared Memory#Application Integration

Updated: 2026-10-27

What is Backdrop?

Backdrop turns AI agents into AI colleagues that can work together over the long term; the company says the platform has integrated more than 1,500 apps. Agents can research, create, and coordinate work, with memory shared across people, agents, and projects, becoming better aligned with a team's actual workflows the more it is used. It emphasizes that the agent is not a one-off assistant, but a digital colleague that can inherit team context and stay on the job long term.

Who is it for?

Small teams that want to give their team a long-term collaborative AI colleague.
Operations leaders who need to teach internal processes to agents and reuse them across projects.
Individual creators and consultants who want agents to execute tasks directly in their commonly used tools.

Key features

Three ways to teach

The company says you can teach agents what to do using preset skills, custom-built skills, or direct recorded demonstrations, turning existing team practices into reusable skills.

Shared memory

Memory is shared across people, agents, and projects, so colleagues do not need to repeat background context, and new projects can directly inherit team context.

App integrations

The company says it supports more than 1,500 integrations, and agents can execute actions directly in tools the team commonly uses.

From research to delivery

Agents can handle research, content creation, and multi-task coordination, bringing work scattered across documents and tools into one platform.

Subscription pricing

Starter is free and includes 5,000 credits; Base is $100 per colleague per month; Pro and Pro Plus are $250 and $550 respectively.

Things to know

Usage Tips

Review the skill library every quarter and re-record outdated demonstrations.
First use the free Starter quota to get one skill working, then decide how many colleague seats to add.
Teach agents by recording demonstrations; this is closer to real operations than text descriptions alone.
Organize team background materials into shared memory so multiple projects can reuse the same context. From experience, it feels more like adding a team member who can be continuously trained than a one-off Q&A tool; context and skills are the core assets. Overall, the effectiveness of such tools depends on whether users have clear goals. Before formal adoption, spend time reading official documentation and changelogs to confirm whether feature scope, data permissions, and billing rules match your business processes. When details are uncertain, confirm through official customer service or the help center first, and do not rely on third-party information for important decisions. At the same time, any automation should retain a human review step, especially in scenarios involving funds, external communications, or legal obligations, where humans remain the ultimate responsible party. The value of a tool is not in replacing judgment, but in offloading repetitive labor so people have time to handle more complex problems.