7 Best Manus Alternatives for Teams in 2026

Manus describes itself as an action-oriented business AI that executes complex workflows and produces finished research, presentations, websites and other deliverables. Tasks run in a cloud browser or through Browser Operator in your own browser, and Collab lets teammates join a task to review and refine it.

Articles on alternatives describe what people weigh when they switch: whether the integrations and autonomy model fit the workload, reliability and clearer human control, and context that carries across recurring work.

We compared seven tools on three questions: where the agent runs, whether the team shares the work, and how a person approves what goes out. Product details were checked on each vendor's own site on 3 October 2026. Kylon is our product, so it is listed first.

Quick comparison

1. Kylon

Kylon is a workspace where agents are members of the team. Each agent has its own identity, memory, skills and permissions, and several can sit in the same Room with the people they work for.

• Where the work happens: You ask in a Room, in plain language. The agent reads the thread and posts the result back into it.
• Shared by default: Everyone in the Room sees what each agent did. Different agents can carry different parts of the work and hand off to each other and to people.
• Tools: Agents reach your accounts through Connections, with more than 3,000 services available, and Apps keep the team's records next to the conversation.
• Approval: Sensitive actions, such as an outgoing email, stop as a draft until the person who asked approves them.
• Ongoing work: A run you want again is saved as a workflow on a schedule or trigger, and it posts into the same Room each time.
• Bring your own agents: Claude Code, Codex and Devin can join a Room as members, next to the business agents.

Best for: teams whose work does not end with one deliverable: pipelines, reports, campaigns and operations that run every week. See also Kylon vs Manus and Kylon vs Manus vs Genspark.

2. Genspark

Genspark presents an organisational AI workspace combining autonomous agents, documents, spreadsheets, presentations and browser work.

• Where it runs: GenTeam agents run on Genspark-hosted cloud computers by default.
• Sharing: People and agents collaborate in channels and threads and share files and deliverables.
• Tools: Agents connect to drives, calendars, CRMs, ticketing tools and MCP endpoints.
• Approval: Hard-to-reverse actions require explicit approval.

Best for: teams looking for one AI workspace across marketing, sales, finance and operations. See also Kylon vs Genspark.

3. ChatGPT Work

OpenAI describes ChatGPT Work as an agent for longer, multi-step work that produces finished documents, spreadsheets, presentations and sites. OpenAI's help center now points people from ChatGPT agent to ChatGPT Work.

• Where it runs: In the cloud on web and mobile, with supported desktop workflows using local files.
• Sharing: Shared ChatGPT projects give teammates the same chats, files and instructions.
• Tools: Tasks use connected apps, a cloud browser, or both.
• Approval: People approve important actions as the work runs.

Best for: teams organising research and deliverables in ChatGPT projects.

4. Claude Cowork

Anthropic describes Cowork as bringing Claude Code's agentic approach to knowledge work.

• Where it runs: Organisational sessions run in the cloud or locally in a virtual machine.
• Projects: Projects hold tasks, files, instructions and memory.
• Tools: Connectors, including custom MCP services, give Claude access to other apps.
• Approval: Manual mode pauses for people to allow or deny actions.

Best for: knowledge workers delegating multi-step document and research tasks. See also our Claude Cowork alternatives guide.

5. Perplexity Computer

Perplexity describes Computer as an orchestrator of agents that research, code and create across multi-step tasks.

• Where it runs: In the background in cloud environments, with a filesystem and browser per session.
• Sharing: Shared Projects hold files, sessions, artifacts and skills.
• Tools: Projects connect tools such as Google Drive, Notion, Linear and GitHub and bind to Slack or Teams channels.
• Approval: A tool set to Always ask pauses before acting.

Best for: teams producing research, analysis and recurring reports.

6. Lindy

Lindy presents itself as an AI teammate that works alongside employees in Slack.

• Where it runs: Requests made in Slack channels get replies in the same thread, and personal requests go to DMs.
• Context: Team sources, reusable skills and team memory carry into future work.
• Tools: It connects through integrations, MCP, browser interaction or APIs.
• Approval: When needed, Lindy posts Approve and Deny buttons in the thread.

Best for: Slack-based teams handling operations, reporting and support queues. See also Kylon vs Lindy.

7. Dust

Dust describes itself as multiplayer AI connecting company knowledge, tools and teams.

• Where it runs: Dust's Computer capability gives agents a temporary workspace to run code and process files.
• Sharing: Pods hold shared conversations, tasks and files visible to members.
• Tools: It connects Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk.
• People in the loop: Dust combines connected tools with human review in cross-functional workflows.

Best for: teams building agents around company context. See also Kylon vs Dust.

How to choose

If you need one big deliverable, a research report or a deck, a task agent that runs on its own computer gets you there. If the work repeats every week and involves several people, look at where the agent lives between tasks, who can see what it did, and who signs off before anything goes out.

Kylon keeps that work in the team's Rooms. Plans are on the pricing page.