The prototype of the App Store in the AI era? Questflow joins hands with Coinbase and Circle to build an AI Agent collaboration platform

Questflow, a multi-AI agent scheduling platform, raised $6.5M in seed funding led by CyberFund, with participation from Delphi Labs, Animoca Brands, and others, alongside strategic partnerships with Coinbase, Circle, Google, and Near.
The platform addresses the growing need for AI Agent collaboration in workflows, enabling humans and AI Agents to work together efficiently, automating repetitive tasks while allowing manual intervention at key stages.
Questflow’s core protocol, MAOP (Multi-Agent Orchestration Protocol), acts as an "intelligent hub" to coordinate AI Agents, integrating payment systems (e.g., USDC) for task-based rewards.
Its product, TARS, simplifies complex task scheduling (e.g., AI project tracking, content creation, and marketing automation) without coding, leveraging models like GPT-4o, Stable Diffusion, and Claude.
The Questflow Developer Platform (QDP) empowers developers with zero-code tools and on-chain settlement, while "Agent Benchmark" ensures quality via dynamic rankings.
Partnerships with Coinbase, Circle, and others position Questflow as a key infrastructure player in AI and blockchain convergence, aiming to become the "App Store of the AI era" by managing AI Agent workflows and economies.

Author: momo, ChainCatcher

Recently, the multi-AI agent scheduling platform Questflow announced the completion of a US$6.5 million seed round of financing, led by CyberFund (a subsidiary of Lido Co-founder), with participation from leading institutions and project parties such as Delphi Labs, Systemic Ventures (supported by Ethereum co-founder Joseph Lubin), Animoca Brands, HashKey Capital, ElizaOS, and received ecological funding from Aptos, Coinbase, Virtuals Protocol, etc.

In July last year, Questflow also received US$1.5 million in angel round financing from Qiji Chuangtan and PAKA.

In addition to obtaining investment support from leading institutions and project parties, Questflow has recently reached strategic cooperation with top Web2 and Web3 platforms such as Circle, Coinbase, Google, Near, and Coingecko.

Why is Questflow favored by leading institutions and project owners? What problems does its multi-AI intelligent agent scheduling platform solve? In the wave of AI and blockchain integration, how does Questflow position itself in the AI track?

In the AI Agent era, workflows will be restructured

The rise of AI Agents is reshaping the traditional working model, and collaboration between humans and AI Agents may become the norm in future work.

For individual workers, AI Agent will become a powerful "digital assistant" to handle repetitive and process-based tasks such as schedule management, email screening, and meeting minutes. The productivity of individual workers will be released, allowing them to focus on more creative and strategic high-level tasks.

AI Agent will also become the "digital employee" of enterprises, helping them reduce costs and increase efficiency. Enterprises need to establish an AI Agent pool and deploy multiple dedicated agents such as finance, customer service, and data analysis for employees to coordinate and dispatch. Employees only need to put forward their needs, and intent-driven automation can mobilize agents to execute efficiently. Employees only need to review key content.

However, there are currently no mature enterprise service solutions on the market for the workflow revolution brought about by AI Agents.

Although there are AI tools such as ChatGPT, DeepSeek, and Midjourney on the market to perform specific tasks, each model has its own user interface, payment structure, and API syntax, resulting in a very fragmented user experience.

In addition, the needs of enterprises vary greatly, and the existing general AI tools are expected to be difficult to fully adapt to specific business scenarios. For most corporate employees who do not have a technical foundation, how to schedule and operate multiple AI agents in the future will also face pain points.

In the era of collaboration between humans and AI Agents, there will be huge market demand for helping enterprises customize AI Agent functions, coordinate the collaboration of multiple AI Agents, and handle complex tasks across departments and scenarios.

A report by the Jiazi Light Year Think Tank predicts that by 2026, 60% of enterprises will deploy AI Agents, and by 2027, 40% of enterprise services will be delivered by a combination of AI Agents.

Under this trend, Questflow is committed to building a flexible and composable multi-AI agent scheduling platform that allows AI agents to collaborate like employees and help individuals and businesses adapt to new workflow models.

How does Questflow build an “intelligent hub” for multi-agent collaboration?

Questflow is equivalent to the "intelligent hub" in the process of collaboration between humans and multiple AI agents. Based on the MAOP (Multi-Agent Orchestration Protocol) core protocol, Questflow can understand intentions, coordinate multiple types of AI agents to take actions, and use on-chain payments to allow AI agents to receive rewards based on indicators such as task results and usage.

While helping workers automate repetitive processes, Questflow also reserves the right of manual intervention at key nodes to achieve an "efficient + controllable" workflow collaboration model.

Currently, TARS, based on the MAOP protocol, is an intelligent hub for multi-agent collaboration.

Users can raise requirements through TARS, which coordinates multiple AI Agents to collaborate efficiently and complete Agent to Agent cluster scheduling for complex tasks, ensuring seamless, efficient and accurate workflows.

For example, users need to browse AI forums such as GitHub and Reddit every day and compile a list of AI Alpha projects. Users can use TARS to schedule GitHub Agent and Reddit Agent to complete an Agent to Agent schedule, and this process does not require entering code. Subsequently, the cluster responsible for AI Alpha can help users complete automatic sorting and analysis every day without the need for manual collection.

TARS also shared three typical daily use cases. For example, market analysts can use TARS to automatically collect AI news and trends, and get the latest information from the collaboration of GitHub Agent, HackerNews Agent, ProductHunt Agent, etc.; content creators can use TARS intelligent hub to automate video distribution, and publish content on social media with the collaboration of YouTube Agent, Instagram Agent and TikTok Agent; and marketing teams can use TARS to create and manage multi-platform content calendars, including multi-agent interactive collaboration experience with automatic updates and reminders.

Some basic work with relatively clear and fixed processes can almost be completed by users based on TARS's Agent to Agent protocol.

TARS also has built-in payment, agent wallet and automatic settlement mechanisms, allowing any one or more collaborative AI agents to complete payment and settlement capabilities such as collection, payment, and deposit according to their work. For example, users can pay on demand through stablecoins such as USDC without the need for monthly subscriptions.

The flexibility and efficiency of TARS in different mission scenarios are inseparable from Questflow's multi-AI agent scheduling protocol and its access to the multi-dimensional AI model stack, which enables it to cover multi-dimensional AI collaboration capabilities, including but not limited to:

Video generation models: Veo3, Zora, Runway, Kelin, Jimeng, etc.
Image generation models: GPT-4o, Flux, Stable Diffusion, MidJourney, Google Imagen4, Artbreeder, Deep dream, etc.
Deep search models: ChatGPT, Gemini 2.5 pro, Claulde, Qwen, etc.

The advantage of Questflow is that it ensures seamless integration between various AI models to adapt to complex multi-task scenarios. At the same time, large language models such as GPT-4o allow users to handle work by simply "raising requirements". Users do not need to repeatedly switch and log in to different AI platforms, and can call them through the unified interface, wallet and single operation of the Questflow platform.

If MAOP is the “smart center” for coordinating multiple intelligent agents, then Questflow Developer Platform (QDP) is the “power engine” that drives the construction of a strong labor market.

QDP is committed to empowering developers, providing modular SDKs, natural language-driven zero-code development tools, and efficient and transparent on-chain settlement capabilities to achieve seamless integration of development, scheduling, and settlement. Developers can quickly encapsulate APIs into AI Agents without having to deal with underlying technologies, and build AI agent groups through orchestration and scheduling to execute complex workflows. It also supports flexible monetization models such as pay-per-use and revenue sharing using the stable currency USDC.

As the AI Agent models on the platform become larger and larger, poor quality will also affect the user experience. Therefore, it is equally important to ensure the quality of the AI Agent.

To this end, Questflow has also launched the "Agent Benchmark", which generates a dynamic ranking based on a multi-dimensional evaluation system (cost/quality/speed), recommends the best Agent combination for users, and supports instant settlement of test fees in stablecoins.

Through the collaboration of MAOP, QDP and Benchmark, Questflow is building a decentralized AI productivity network, making intelligent agents truly composable and tradable production factors.

Questflow’s growth potential with top platforms such as Coinbase and Circle

Questflow is building key infrastructure for the AI Agent era through strategic collaboration with top platforms such as Coinbase and Circle.

According to official information, Questflow has established partnerships with leading platforms in multiple fields, including exchanges (Coinbase, OKX, Gate), stablecoins (Circle), data analysis (MongoDB, CoinGecko), AI Agent platforms (Virtuals, Yield), Web3 phones (Jambo), Web2 enterprises (Google), etc.

Taking the cooperation with Coinbase as an example, Questflow has carried out in-depth cooperation with its developer ecosystem. Questflow uses the wallet API of Coinbase Developer Platform (CDP) to provide on-chain asset management and settlement system for AI agents. Questflow's MAOP protocol also integrates CDP's AgentKit agent for ecological users to call.

In the wave of enterprise integrated AI Agent, Questflow has a very high market ceiling. It is not just a functional tool, but an ecological platform that is leveraging the intersection of two trillion-level markets: the global enterprise automation service market and decentralized financial infrastructure.

At present, Questflow's core protocols and products have been recognized by leading institutions. While most AI projects are still competing on single-point technologies, Questflow has completed the initial practice from technical protocols to business ecology by binding with leading project ecosystems such as Circle and Coinbase. In the future, it is expected to further expand from the Web3 field to the larger Web2 ecology.

In addition, Questflow's team genes also provide support for long-term productization and commercialization. As the AI Agent network continues to expand, Questflow is expected to become the App Store of the AI era, managing the traffic and economic distribution of AI Agents.