Maelstrom的比特币资助计划已持续20个月——共资助5名开发者,其中4名活跃,这是他们的成就

bitcoinistPublished on 2026-06-10Last updated on 2026-06-10

Abstract

比特幣交易所BitMEX聯合創始人Arthur Hayes的家族辦公室Maelstrom,首次發布了其比特幣資助計劃的年度報告。該計劃自2024年10月啟動,已運行20個月,共支持了5位開發者,目前有4位活躍。報告由計劃負責人Jonathan Bier撰寫,重點介紹了四位活躍受助者的技術貢獻。 報告指出,該計劃資金完全由Maelstrom提供,採用12個月合約制,按月支付比特幣,每位開發者每年資助上限為40萬美元。受助者工作主要分為兩大方向:比特幣核心開發與隱私技術建設。 在比特幣核心開發方面,Rkrux自2024年10月受助以來,已成為最活躍的代碼審查者之一,專注於MuSig2協議和淘汰舊版錢包等工作。Stratospher則致力於修復共識驗證和點對點網絡中的關鍵性漏洞,其工作對於防止網絡分叉至關重要。 在隱私技術方面,Benalleng全職開發Payjoin協議,該協議能有效破壞鏈上監察,其API已被多家錢包集成。Macgyver則專注於推進Silent Payments協議,該協議允許使用靜態地址進行多次私密支付,目前已獲得多個錢包的支持。 Maelstrom的資助框架非常聚焦,僅支持開源比特幣協議工作,沒有商業附加條件或代幣激勵。審核委員會僅由Arthur Hayes和Jonathan Bier兩人組成。報告認為,這類鞏固網絡底層安全與隱私的開發工作雖然低調,卻對價值數千億美元的比特幣網絡至關重要。此舉也代表了一種成功的行業參與者直接回饋協議開源建設的新模式。

Maelstrom——BitMEX联合创始人Arthur Hayes的家族办公室——已发布其比特币资助计划的首份年度报告。报告披露,在始于2024年10月、为期20个月的资助计划中,目前活跃的四位开发者共同推动了比特币在隐私、安全性和代码库韧性方面的进步。自计划启动以来,总共资助了五位开发者。

这份由资助计划管理员Jonathan Bier撰写的报告,详述了目前四位活跃受资助者——Rkrux、Stratospher、Benalleng和Macgyver——的技术产出。其中两人直接从事比特币核心协议(Bitcoin Core)的工作,另外两人则完全专注于推进比特币的隐私基础设施。资助以12个月为合同期,按月支付比特币,每名开发者每年最高可获得40万美元的资助。根据报告,该计划完全由Maelstrom提供资金。

比特币核心协议:保障网络安全的平凡而重要的工作

有两名受资助者致力于比特币核心协议——运行保护这个有史以来最具价值金融网络的节点软件。

Rkrux自2024年10月起受资助,已成为该项目最高产的审阅者之一。根据报告中引用的开发者Niklas Gögge建立的仪表盘数据,仅在2025年,他就在超过200个拉取请求上发表了1,155条审阅评论,这使他在整个代码库中成为评论活跃度排名第11的人。在2026年的前五个月,他又增加了超过400条PR评论。

他的工作涉及多个领域,包括MuSig2——一种使多签交易在链上看起来与单签交易无异的协议,同时提升了隐私性并降低了费用——以及弃用旧式钱包,转而支持基于描述符的现代钱包,从而改善了整个生态系统的互操作性。

Stratospher自2025年11月起受资助,她的工作集中在那些一旦出现漏洞就可能造成最灾难性后果的领域——共识关键性验证代码和点对点网络。她发现并修复了比特币核心协议中FindMostWorkChain函数的一个未定义行为漏洞,参与了移除BLOCK_FAILED_CHILD标志的工作,并针对静默支付(Silent Payments)在libsecp256k1库中从事了DLEQ密码学证明方面的工作。

她还在非洲比特币会议上就开源开发和隐私议题参与了两个小组讨论。她的报告直接指出,共识代码中的漏洞可能导致节点对网络状态的判断产生分歧——这是一种没有清晰恢复路径的故障模式。

BTC价格在日线图上呈现下跌趋势。来源:Tradingview上的BTCUSD图表

隐私:比特币仍然需要的基础设施

另外两名受资助者则完全投身于比特币隐私技术——报告称这一领域是Maelstrom哲学的核心。

Benalleng自2025年6月起获得资助,全职从事支付连接(Payjoin)协议的工作。这是一种交易协议,允许发送方和接收方都为比特币交易提供输入,从而系统性打破“交易中所有输入都来自同一方”这一监控启发式规则。根据报告,Payjoin API已集成到Bull Bitcoin和Cake Wallet中,目前还有五个或更多的钱包集成正在进行中。

为了最大程度地方便开发者使用,已发布了针对Python、Javascript、Dart和CSharp的绑定库。报告提出了一个值得关注的观点:即使只有少数人采用Payjoin,也会削弱整个网络的链上监控能力,包括那些从未使用过Payjoin的用户——这种博弈论上的不对称性,被Maelstrom视为比特币最被低估的隐私杠杆之一。

Macgyver同样自2025年6月起获得资助,他专注于静默支付(Silent Payments)——这是由Ruben Somsen在2022年提出的一种协议,允许发送方使用单个静态地址向接收方进行多次支付,而该地址永远不会在链上重复使用。在过去的12个月里,钱包的采用取得了实质性进展:Blindbit-Desktop、Cake Wallet和Dana Wallet现在都支持发送和接收功能,而Sparrow Wallet和Nunchuk已增加了发送支持。

根据报告,比特币核心协议对这两个阶段都有草案实现,但由于依赖于libsecp256k1库中的静默支付模块,这些实现目前暂时搁置。Macgyver已经规划了静默支付的路线图,制作了BIP-375的测试向量,提出了首个用于Coldcard硬件的BIP-375硬件签名器实施方案,并组织了每月一次的静默支付工作组会议。

该计划的意义

Maelstrom的资助框架刻意保持了专注——它只资助开源比特币协议工作,没有任何商业附加条件,也不涉及代币激励。评审委员会只有两个人:Arthur Hayes和Jonathan Bier。资金也仅来自单一来源。

而正在进行的这些工作——审阅共识代码、强化点对点隐私、构建交易混淆工具——都是那种不会登上新闻头条、无法直接催生代币价格,但却支撑着一个如今承载着数千亿美元价值的网络的安全与隐私。

这一发展标志着这个新兴领域最成功的参与者们选择如何回馈的关键时刻。一个从比特币升值中获取了丰厚利润的家族办公室,将资本直接部署到协议的开源开发中——以比特币支付、同行评审、透明公开——这是一个行业内罕见产生、且几乎从未如此清晰记录过的模式。

封面图片来自Grok,BTCUSD图表来自Tradingview

Related Questions

QMaelstrom 比特币资助计划的主要目标是什么?

AMaelstrom 比特币资助计划的主要目标是资助比特币协议的开源开发工作,重点提升比特币的隐私性、安全性以及代码库的健壮性。该计划不附加任何商业条件,也不涉及代币激励,完全致力于支持比特币底层协议的发展。

Q文章中提到有几位受资助者直接为比特币核心(Bitcoin Core)工作?他们分别是谁,主要贡献是什么?

A有两位受资助者直接为比特币核心工作。 1. Rkrux:自2024年10月成为受资助者,是比特币核心代码库最活跃的评审者之一。他的工作涵盖 MuSig2 协议和废弃传统钱包以支持描述符钱包。 2. Stratospher:自2025年11月成为受资助者,专注于共识关键验证代码和点对点网络。她发现并修复了 FindMostWorkChain 函数中的一个未定义行为漏洞,并参与了移除 BLOCK_FAILED_CHILD 标志等工作。

QPayjoin 协议的主要作用是什么?哪位开发者正在全职推进此项工作?

APayjoin 协议的主要作用是让比特币交易的发送方和接收方都能为交易提供输入,从而系统性打破“一个交易中的所有输入属于同一方”这一监控启发式假设,提升隐私性。开发者 Benalleng(自2025年6月获得资助)正在全职推进 Payjoin 的工作。

QSilent Payments 协议解决了比特币使用中的什么问题?哪位开发者是该协议的主要推动者之一?

ASilent Payments 协议解决了比特币地址重复使用带来的隐私泄露问题。它允许发送者使用单个静态地址向接收者进行多次付款,而无需在链上重复使用该地址。开发者 Macgyver(自2025年6月获得资助)是该协议的主要推动者之一,他制定了路线图,制作了测试向量,并组织了月度工作组会议。

QMaelstrom 资助计划在资助模式和透明度方面有什么特点?

AMaelstrom 资助计划的特点包括:资助范围严格限定于比特币开源协议工作;以12个月为合同期,按月支付比特币;每位开发者每年资助上限为40万美元;评审委员会仅有 Arthur Hayes 和 Jonathan Bier 两人;资金完全来自 Maelstrom;工作成果通过年度报告等形式透明公开。

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Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

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What is AGENT S

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