Devin vs Manus: Which Autonomous Agent to Pick in 2026?
Both run as long-running autonomous agents inside their own cloud virtual machines, but they are built for different jobs. Devin is Cognition’s autonomous software engineer — you hand it a Jira ticket, a bug report, or a GitHub issue and it plans, writes, tests, and opens a pull request. Manus is a general-purpose autonomous agent — give it almost any goal and it browses the web, runs code, analyzes files, and hands back a report, deck, dataset, or working site. If you mainly need engineering work shipped into a repo, Devin. If you want a broad agent that finishes knowledge-work tasks, Manus.
The One-Sentence Answer
Use Devin if your task ends in merged, reviewed code. Use Manus if your task ends in a research report, a deck, a dataset, or a quick web build.
Side-by-Side Comparison
| Devin | Manus | |
|---|---|---|
| Core strength | Autonomous software engineering | General-purpose task automation |
| Primary output | Pull requests, reviewed code | Reports, decks, sites, datasets |
| Best-known for | Ticket-to-PR in real codebases | 24/7 web research and builds |
| Pricing model | Tiered plans plus ACU usage | Tiered plans plus credit usage |
| Entry price | Free tier, then $20/mo Pro | Free tier, then $20/mo Standard |
| Integrations | GitHub, GitLab, Jira, Linear, Slack, VS Code | Browser plus Gmail, Calendar, Notion, Drive, GitHub |
| Where work runs | Sandboxed VM with terminal and editor | Sandboxed VM with browser, shell, file system |
| Best for | Engineering teams and developers | Analysts, marketers, founders, generalists |
When to Use Devin
- You want tickets turned into pull requests without babysitting each step
- The work is engineering: bug fixes, feature builds, dependency upgrades, or large migrations
- Your team lives in GitHub, Jira, Linear, and Slack and wants the agent to plug in there
- You need code that passes review and merges into an existing codebase
Think of Devin as a junior engineer on your team — it takes a task, works in a real dev environment, and comes back with a PR.
When to Use Manus
- The task spans the open web: competitor research, market scans, or data pulls
- You want a finished artifact like a report, slide deck, spreadsheet, or landing page
- The work mixes browsing, code, and file handling that no single app covers
- You want an agent that can run long jobs unattended in the background
Depth in One Domain vs Breadth Across Many
The real decision is scope, not raw capability. Devin goes deep in a single domain and is opinionated about it: it is wired into source control and issue trackers, it works inside a proper dev environment, and Cognition reports it completes a majority of well-defined engineering tasks end to end. That focus is the point. If your problem is not software, most of Devin’s machinery is wasted. Manus goes the other way. It is a generalist that treats a browser, a shell, and a file system as its toolkit, so it can research a market, clean a dataset, or stand up a quick site in the same session. The tradeoff is that a generalist rarely matches a specialist on hard, production-grade coding. One note on billing: both meter usage, Devin in ACUs (roughly 15 minutes of active work each) and Manus in credits, so long or complex jobs can burn through a plan faster than the flat price suggests. Manus is also worth a status check before you commit; a proposed Meta acquisition was blocked by China’s regulator in April 2026, and the product continues to run normally.
Rule of thumb: If the deliverable is merged code, pick Devin. If the deliverable is anything else, pick Manus.
If the real goal is getting the work done rather than steering an autonomous agent through every task, neither tool does the follow-through for you. Carly is an AI executive assistant you email or text — it schedules meetings, handles email, and runs tasks on your behalf. It also automates multi-step workflows across 200+ integrations, including GitHub, Jira, and Slack. See our best AI personal assistants.
Quick Reference
| Your situation | Pick |
|---|---|
| You want tickets turned into pull requests | Devin |
| You need deep research or a market scan | Manus |
| The work is fixing bugs in a real codebase | Devin |
| You want a finished slide deck or report | Manus |
| Your stack is GitHub, Jira, and Linear | Devin |
| The task mixes browsing, code, and files | Manus |
Related guides: Best AI Agents for Productivity · Best AI Tools for Workflow Automation
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