Questflow (QF)

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Overview

Questflow (QF) is a decentralized network built to coordinate swarms of AI agents that can talk to each other, act across apps, and settle actions on-chain. The project calls this the Multi‑Agent Orchestration Protocol (MAOP): a layered system that interprets a user’s goal, assigns work to multiple specialized agents, and handles payments between them in real time. In simple terms, Questflow aims to be the “operating system” for an AI workforce that runs around the clock. Its native unit, QF, powers payments, collateral, and rewards inside the network. The public website highlights end‑to‑end tools (for example, the Tars agent and packaged “swarms”) and shows partner logos from well‑known crypto and fintech companies. (blog.questflow.ai)

History & Team

Questflow was founded in 2022 by CEO Bob (Boyue) Xu, with Carney Chu as co‑founder and CTO. Xu has a background in product and developer communities and previously founded DECODE; he is publicly listed as CEO and co‑founder across company posts and profiles. The team’s early note described a shift from “prompt engineering” to “agentic workflow engineering,” pointing to a future where many agents coordinate like a team. (blog.questflow.ai)

Funding has come in two main stages. In July 2024, the company announced a $1.5 million angel round led by MiraclePlus with participation from founders and AI/Web3 backers. In July 2025, Questflow closed a $6.5 million seed round led by CyberFund with participation from Delphi Labs, Systemic Ventures, Eden Block, White Star Capital, Web3.com, Animoca Brands, HashKey Capital, Wagmi Ventures, the Tezos Foundation, and others, alongside grants from Aptos, Coinbase Developer Platform, and Virtuals. These updates were published on the project’s own blog and syndicated as a press release. (blog.questflow.ai)

Questflow presents itself as building an AI agent economy “for every workflow,” with packaged agent swarms for marketing, crypto analytics, and other use cases, and it runs product updates and a public roadmap through its site and documentation. (questflow.ai)

Technology & How It Works

Multi‑Agent Orchestration Protocol (MAOP)

MAOP is the core coordination layer. It takes a user goal, breaks it into tasks, and assigns them to a team of agents. The public site describes four layers working together:

• Decision layer: understands intent and chooses the right agents.
• Communication layer: lets agents share context and results.
• Action layer: connects to tools and apps to execute tasks.
• On‑chain layer: handles wallets, payments, and verifiable records.

This architecture lets agents collaborate across Web2 apps (like documents, email, and messaging) and Web3 dapps, then settle outcomes on-chain with human oversight for high‑impact steps. (questflow.ai)

Agent swarms and packaged workflows

Questflow ships ready‑made “swarms” so non‑developers can try multi‑agent workflows quickly. Examples featured on the site include a Twitter Engagement Swarm, a Crypto Token Signal Swarm that compiles project news and sends updates to Telegram, and partner-branded swarms such as an OKX Swarm. Financial and Medical swarms are shown as coming soon. (questflow.ai)

Builder platform and agent wallets

Developers can design and deploy their own agents, set prices for usage, and list them in the marketplace. Agents are equipped with crypto wallets so they can receive payments and, in some cases, pay other agents for services. Questflow’s in‑app “Agent Wallet” runs on Base and is provided through Coinbase’s developer infrastructure (described by the team as a CDP wallet and, in onboarding materials, linked to Coinbase’s embedded payments rail). Deposits use USDC on Base; users can fund a balance and then run swarms. (questflow.ai)

Roles in the network

Questflow’s docs describe three main participant roles:

• MAO Users who run automations and pay for agent work.
• MAO Creators who build and deploy agents and swarms.
• MAO Guardians who help secure performance by providing collateral and monitoring reliability.

These roles tie directly into QF’s use as a payment and staking unit in the protocol. (docs.questflow.ai)

Tokenomics & Utility

Supply and emissions

QF has a fixed maximum supply of 1,000,000,000 units. The docs specify that 600 million are distributed at launch, with the remaining 400 million emitted over time as ongoing rewards to creators and their guardians (distributed on an hourly schedule). This design aims to bootstrap agent development and keep the network productive as it scales. (docs.questflow.ai)

Allocation approach

At genesis, the initial 600 million supply is split across categories such as Ecosystem Development, Community Incentives & Growth, Core Contributors, Foundation & Treasury, and Investors (seed, angel, and a placeholder for a later Series A), along with an Advisors pool. The documentation provides amounts and percentage figures for each bucket and explains that circulating supply increases as rewards are issued. (docs.questflow.ai)

Utility in the protocol

The docs outline three primary utilities:

• Universal payment: QF underlies payments in the ecosystem. Users may pay in other currencies (for example, USDC) through the Agent Wallet, but settlements and fee logic are designed to create demand for QF. Network take rates are lower for transactions conducted directly in QF. (docs.questflow.ai)
• Performance and collateral: Guardians and certain nodes stake QF to guarantee uptime and quality. Underperformance can lead to slashing, which aligns incentives with reliability. (docs.questflow.ai)
• Rewards and growth: Autonomous faucets distribute QF to Creators, Curators, Guardians, early users, and through bootstrapping and airdrop programs. On the other side, usage‑driven “sinks” (access, security staking, and burn mechanics tied to activity) are meant to balance issuance and support long‑term health of the network. (docs.questflow.ai)

Ecosystem & Use Cases

Questflow’s public materials focus on concrete, everyday workflows where many agents working together can save time:

• Social and growth: a Twitter Engagement Swarm that schedules posts, watches mentions, and interacts contextually; swarms built with partners like Virtuals for brand engagement. (questflow.ai)
• Crypto monitoring: a Crypto Token Signal Swarm that compiles token updates, project analysis, and daily news to Telegram. (questflow.ai)
• Finance and operations: a Financial Swarm, shown as coming soon, that automates routine payments, summaries, and reminders across accounts. (questflow.ai)

Developers can go deeper by composing their own agent teams, assigning tool permissions, and publishing agents to earn. The product surface highlights a developer platform and an A2A (agent‑to‑agent) hub, while a “GDP” section promises real‑time tracking of on‑chain activity tied to the agent economy. (questflow.ai)

Advantages & Challenges

Advantages

• Designed for the multi‑agent era: MAOP treats a task as a team effort, with separate agents handling research, planning, action, and on‑chain settlement. This “divide and conquer” pattern maps well to real workflows. (questflow.ai)
• Builder‑friendly incentives: QF’s emissions and rewards target creators and guardians, aligning network growth with useful agents and reliable nodes. Lower or zero network fees for QF‑denominated transactions further encourage native use. (docs.questflow.ai)
• End‑to‑end product: From the Tars interface to prebuilt swarms and a developer platform, Questflow bundles UX and protocol features so users don’t need to piece together tools. (questflow.ai)
• Visible partners and grants: The public homepage features recognized brands, and the company has reported grants and infrastructure support from major ecosystems, including Base via Coinbase Developer Platform. (questflow.ai)

Challenges

• Young network: The roadmap shows a testnet-to‑mainnet progression through 2024–2025, with mass adoption as a stated goal; building a durable economy around agent work will take time and broad developer buy‑in. (docs.questflow.ai)
• Complex coordination: Multi‑agent systems can be difficult to tune. Reward schedules, performance benchmarks, and slashing rules must be well designed so creators and guardians feel both motivated and fairly treated. (docs.questflow.ai)
• Evolving use cases: Some showcased swarms are still “coming soon,” and the most valuable categories (like finance or healthcare) require careful integrations and clear oversight paths. (questflow.ai)

Where to Buy & Wallets

QF is distributed inside the Questflow network through creation, deployment, guardian, and community rewards as described in the project documentation. Questflow supports an in‑app Agent Wallet powered by Coinbase’s developer infrastructure on Base; users deposit USDC on Base to run swarms and participate in the economy. Exchange listings are announced by the team through official channels when available. Standard EVM wallets that support the Base network can hold on‑chain assets used by the app, and the built‑in Agent Wallet provides a streamlined default option for new users. (docs.questflow.ai)

Regulatory & Compliance

Questflow presents itself as a protocol and application layer for orchestrating AI agents, with QF functioning as a payment, collateral, and reward unit rather than traditional equity. The operating entity is shown in the site footer as Questflow PTE. LTD., indicating a Singapore‑based company. Within the app, the default Agent Wallet uses Coinbase’s developer platform and runs on the Base network, which brings familiar account‑abstraction features and embedded payments. These design choices suggest an effort to interoperate with established Web3 infrastructure and the compliance tooling that comes with it, though the token’s regulatory classification will depend on the laws and facts of each jurisdiction. (questflow.ai)

From an Islamic finance perspective, Questflow has not published a formal shariah certification. The protocol centers on software‑driven automation and crypto‑native payments; it does not describe interest‑bearing products in its docs, and its reward model is tied to creation, deployment, and network performance. Because it avoids interest by design and focuses on productive services, some observers may view it as broadly compatible with shariah principles, though specific judgments can vary by scholar and by use case. (docs.questflow.ai)

Future Outlook

Questflow’s roadmap outlines a path from beta and testnet in 2024 through mainnet, staking, and a developers’ ecosystem in 2025, followed by a push for mass adoption. The narrative across the blog and site emphasizes “token orchestration” alongside “task orchestration,” meaning agents not only complete work but also pay and get paid as autonomous economic actors. If this vision holds, more workflows could become continuous services that scale as agent teams scale. The main levers will be:

• Quality and diversity of agents in the marketplace.
• Reliability of the guardian layer and slashing rules.
• Clear incentives so that building useful agents is consistently rewarded.
• Smooth embedded payments on Base via the Agent Wallet, so non‑crypto users can interact without friction.

The 2025 seed round gives the team resources to expand these pieces and attract partners around specific verticals like marketing, finance, and data operations. (docs.questflow.ai)

Summary

Questflow (QF) is building an orchestration layer for AI agents that can plan, act, and settle value on-chain. Its protocol layers map a user’s goal to a swarm of agents, and its economic design pays creators and guardians while using QF for payments, collateral, and reduced fees. The product surface—Tars, packaged swarms, a developer platform, and an in‑app Agent Wallet on Base—seeks to make multi‑agent automation approachable for teams and builders alike. With a defined supply model, role‑based rewards, and a roadmap aimed at expanding real‑world workflows, Questflow positions QF as the native unit of an always‑on AI workforce. (docs.questflow.ai)