Manus
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General-purpose autonomous agent that runs in an isolated cloud VM per task, browsing the web, writing and executing code, and managing files to complete multi-step work without continuous supervision.
Key Features
Multi-Agent Single Agent Streaming Async Support Short-Term Memory Code Execution Web Browsing File System Access Sandboxing API Server Cloud Hosted
Community Feedback
Strengths
- Strong autonomous benchmark performance (reported GAIA SOTA across all three levels)
- Fully isolated cloud VM per task reduces blast radius of agent actions
- Usable free tier with no credit card required
- Broad general-purpose scope beyond just coding (research, docs, slides, apps)
Weaknesses
- Credit-based pricing makes cost unpredictable for long or complex tasks
- No multi-person shared workspace, task assignment, or permission management as of early 2026
- Relies on third-party foundation models (Claude, Qwen) rather than its own, capping its ceiling
- Ownership uncertainty following the blocked Meta acquisition may concern enterprise buyers
Manus Details
| Organization | Butterfly Effect (Beijing Red Butterfly Technology Co., Ltd.) |
| Organization Type | Company |
| Funding | Series b+ |
| Category | Ready-to-Use |
| Subcategory | Multi agent |
| Deployment | Cloud |
| Runtime | Isolated cloud VM (Linux sandbox) per task |
| License | Proprietary |
| Commercial Use | Proprietary |
| First Release | 2025-03-06 |
| Release Cadence | Monthly |
| Maturity | Mature |
| Pricing Model | Freemium |
| Free Tier | 1,000 starter credits plus 300 credits refreshed daily, 1 concurrent task, 1 scheduled task, Chat mode and Agent Mode on the lite model tier |
| Cost Model | credit-based freemium |
| Community Activity | Active |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-07-23 |
| LLM Providers | Anthropic Claude, Alibaba Qwen |
Use Cases
- Autonomous multi-step research and report generation
- Web browsing and data gathering tasks
- Document, slide-deck, and simple app generation
- Scheduled/recurring autonomous tasks
When to Use
Best for: Non-developers and knowledge workers wanting a general-purpose autonomous agent for open-ended, multi-step tasks
Avoid when: Task requires instant results, multi-person collaboration/permissions, or predictable flat-rate costs
Original data from HuggingFace, Arena and various public git repos.
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Release v20260328a