Have You Ever Had This Experience?
I’m a heavy power user of AI tools — ChatGPT, Claude, Manus, I’ve tried them all. Yet one frustration lingered on my mind: tackling complex tasks always felt like a whack-a-mole game with AI.
Mid-conversation, context gets lost out of nowhere. If I want to compare outputs from different LLMs, I have to open four or five separate tabs. When a big task splits into seven or eight subtasks, I’m forced to chat through them in rigid linear order, with no easy way to insert extra thoughts midway.
That all changed once I tried Flowith, and for the first time I thought: This is how humans and AI are supposed to collaborate.
Its Most Radical Design Choice: It Ditches The Chatbox Entirely
When you launch Flowith, the first thing you see is not a text input window, but an infinitely expandable 2D canvas workspace.
What makes this canvas transformative? Simply put: every thought you jot down, every AI response, every task execution step becomes an individual draggable node card, laid out across the board like a mind map.
Take researching “AI applications in retail” as an example. On traditional chat tools, you alternate asking questions and copying outputs back and forth. On Flowith, you can launch multiple parallel tasks as separate canvas nodes simultaneously: one node orders the AI to gather latest industry reports, another analyzes financial statements, and a third drafts a PPT outline. All workflows run side-by-side without interfering with one another, with every process visible at a glance.
Oracle & Neo: From Merely Following Orders To Autonomous Task Execution
If you write it off as just a visual wrapper for regular chatbots, you’re underestimating its core strength — its dual built-in AI agents, especially the flagship Neo agent.
Oracle
Its first-generation collaborative agent built around human-AI co-planning. Hand it a complex objective, and it automatically breaks down the workload, rendering a full visual workflow blueprint directly on the canvas. You can edit, add or delete steps freely, just like reviewing a project plan drafted by a dedicated project manager. Only once you approve the full roadmap will it begin execution. This full visibility and ability to intervene mid-workflow delivers a strong sense of control and security.
Neo
Dubbed the “Infinite Agent” by its user base, it supports unlimited iterative steps and boundless persistent context, plus autonomous long-running cloud execution.
Practically speaking: you can assign a recurring task such as “Scrape latest headlines from 10 major AI media outlets every two hours, compile a briefing and send it to my email”. You can then shut down your computer and head to bed, while Neo keeps running the scheduled workflow remotely in the cloud and delivers the report on time. It can also spend hours generating multi-page full websites or hundreds-of-thousand-word serialized novels in the background until fully finished. Independent developer benchmarks confirm Neo outperformed the then-viral Manus on mainstream agent evaluation benchmarks, setting new scoring records.
Knowledge Garden: Turn Your Fragmented Information Into Reusable Living Knowledge
Flowith’s standout feature called Knowledge Garden functions as a dynamic personal knowledge base.
Import scattered PDFs, personal notes, webpage links and all your reference materials into the Garden. The AI automatically disassembles all content into atomic “Knowledge Seeds” and builds interconnected semantic relationship networks between them. Next time you start a creative project on the canvas, the AI proactively pulls relevant material from your private knowledge library, instead of relying on limited short-term chat context memory.
Even more innovative is its built-in Knowledge Marketplace. You can package your curated professional knowledge libraries — such as “Complete industry insights for XX vertical” or “Collected theories from domain experts” — to sell or subscribe to others’ collections. This lets your accumulated expertise generate recurring value, turning personal knowledge into a tangible asset.
Founding Team & Grand Ambitions
Flowith was founded by a young team of post-95s and Gen Z creators, having secured tens of millions of US dollars in seed and seed-plus funding from Vertex Ventures, Sequoia China Seed Fund and other institutional investors. Instead of training proprietary large language models from scratch, the team focuses on innovating upper-layer human-AI interaction architecture. It natively integrates more than 30 mainstream LLMs for free switching, and even supports side-by-side output comparison where multiple models answer the same prompt simultaneously for benchmarking.
Its Current Limitations
Its highly flexible canvas-based workflow carries a mild learning curve for complete beginners. Additionally, long-running complex cloud tasks handled by Neo consume substantial platform credits and require extended processing time. That said, the free tier grants a starting pool of credits, enough for users to test all core functionality without payment.
Straightforward Practical Recommendations
Researchers & Creators Handling In-Depth Reports, Courseware & Long-form Writing
Flowith’s canvas workflow will streamline your thinking process dramatically. Test it with free initial credits to see if it streamlines your brainstorming and research pipelines.
Content Creators & Researchers Who Prioritize Knowledge Asset Management
The Knowledge Garden feature is highly addictive for organizing personal archives. Build your exclusive knowledge graph, and let the AI generate content grounded entirely in your proprietary reference materials — the collaborative experience is unmatched.
Users Seeking Fully Automatic One-Click Tools With Zero Manual Input
Flowith may not fit your needs. It operates more like an AI command headquarters requiring your active oversight and direction; the deeper you participate in orchestrating tasks, the greater efficiency gains you receive.
Flowith may not be the most fully autonomous AI tool you’ve tried, yet it is arguably the first platform that lets you retain ownership of your creative thinking while AI handles the heavy lifting. Its core mission is to break free from the rigid linear constraints of traditional chat interfaces. After all, human thought never follows a single straight line — it exists as an interconnected, sprawling network of ideas.