Greepgram 收购日报，承诺保持管道猫开源

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Greepgram 收购日报，承诺保持管道猫开源

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2026年10月29日，Deepgram 宣布表示正在收购开源 Pipecat语音agent框架背后的公司Daily，在旧金山的Deepgram Speak成立典礼上揭幕交易。 Daily团队将加入Deepgram,Pipecat将完全保持开源，并根据其现有的BSD V2许可证向开发者自由开放。

Deepgram 称 Pipecat和Daily的全球实时网络基础设施将与其自己的语音模型一起支撑其新的Voice Agent平台，形成它所描述的第一个完整，开放，生产级的谈话语音AI平台。 该公司将Pipecat定性为世界上最受欢迎的开源语音agent框架，称 Daily的网络将终端用户与语音agents连接，具有超低的耐久性和高度的可靠性。

每日联合创始人Kwindla Hultman Kramer 加入 Deepgram担任开源负责人。 Kramer 称在收购公告中说，“保持管道的开放对我们决定加入Deepgram至关重要。” Deepgram CEO和共同创始人Scott Stephenson 称 Kramer和Daily Team了解如何让现场对话可靠地进行下去，并了解如何获得Daily 带来的专业知识与Deepgram的专长一起应对整个语音系统，给开发者从原型到制作的更快的路径。

开源承诺和管道基金会

Depgram 称除了在BSD V2许可证下保持框架自由外，还将投资Pipecat的持续开发和社区，同时保持Pipecat 开源和供应商的所有中性，因此开发者可以选择和结合不同供应商的模型，工具，网络传输和API. 这些公司还与许多为该框架作出贡献和使用的组织一道，正在建立一个独立的Pipecat基金会。

Kramer在Daily博客的另一篇文章中写道，基金会将由代表整个实时AI生态系统的指导委员会管理，他写道，对于Daily的客户和Pipecat生态系统，没有什么变化：Deepgram将销售、支持和发展Daily的所有现有产品和服务，包括WebRTC、电话和跨平台的图书馆，Pipecat将保持供应商中立。 克拉默还写道，Deepgram正采用Pipecat作为其新的语音AI产品和服务的核心。

克拉默写道，Pipecat拥有超过200个集成和近400个贡献者。 他赞扬了18名工程师建立这个框架，特别感谢马克，他称自其发布以来一直推动皮佩卡特的发展，并感谢领导Daily各轮的投资者——TenOneTen的David Waxman,Root的Avidan Ross,Freestyle的Jenny Lefcourt,Lachy Groom，以及Renegade Partners的Roseanne和Renata——以及董事会成员Lee Edwards和Roseanne Wincek。

公司的共同历史

Kramer回忆说，他和Nina创办了Daily公司，为实时音频和视频建设基础设施，这意味着编写优化的包路由软件，在全球数十个地点设计和部署专门的计算集群，以及编写客户端图书馆，让开发人员将实时音频和视频嵌入网络、桌面和本土移动应用程序。 Daily和Deepgram在2016年一起通过Y Combinator，他写道，Deepgram自2019年起在Daily的音频视频API内部为转录提供了动力。

2023年每日开始建立实时语音agents和AI-native软件实验，Kramer写作，2024年开源了Pipecat的全部：核心管弦框架，每个平台和语言的客户端SDK,RTVI消息和事件标准，Pipecat Smart Turn本土-Audio转弯检测模型，SmallWebRTC Transport，以及Pipecat Flows背景工程库。 他将Pipecat描述为最广泛使用的声音agents和多式联运AI框架，说它处理诸如模型之间的切换，低纬度网络传输，模型之间的流数据，转弯检测，以及中断处理等问题。

Deepgram宣布，Daily的基础设施是一个由75个点组成的全球网络，Deepgram 称本身的语音模型和实时基础设施在为全球超过5000个组织制作的动力对话语音AI，超过65万开发者使用Deepgram处理超过20万年的音频。

实时背景标准和下一步

在Speak上，Stephenson同时也是推出，即实时背景标准(RCS)，是与Pipecat团队共同开发的开放协议。 根据Deepgram的说法，RCS解决了当前语音AI系统中的一个漏洞：单词从一个模型传到另一个模型，而周围的音频上下文，如音调，谁在说话，以及背景中发生的事情，则沿途丢失。 RCS定义了三种新型元数据：来自音频的上下文，如whisper或一个不明确的单词；语言模型应如何使用这些信号的指令；以及反应应如何声音的指南。 适配器为每个模型翻译这些信号和发送指令，因此开发人员可以使用来自不同提供者的模型的相同方法。

实时背景标准演示寄存器将RCS描述为一个开放标准，该标准在同一文本流中承载该上下文，格式中链条中的任何模型都可以产生和读取。 其演示语音agent为名为Northwind Outfiters的户外齿轮店办理客户服务，链路为Deepgram Flux 语音转文本，一个读音读音器，每个用户可读取情感和讽刺，PhoneLLM迷你语言模型，ElevenLabs 文本转语音，部署在Pipecat Cloud上。 Deepgram邀请开发者，模型提供者，以及团队建立语音应用程序，在自己的系统中测试RCS，分享反馈，并为规格做出贡献。

当天晚些时候在Speak上，首席产品官Ed Anuff被安排预览即将到来的Deepgram Voice Agent平台，并引入为直播对话而建的两个新模型，扩展语言支持，以及一个全球API，目的是提高连接可靠性，减少延迟。 将在Anuff的主旨发言后，在其博客上公布该日的完整技术细节、演示和产品公告。

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Acquisitions

Deepgram Acquires Daily, Commits to Keeping Pipecat Open Source

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Deepgram announced on October 29, 2026, that it is acquiring Daily, the company behind the open-source Pipecat voice agent framework, unveiling the deal at its inaugural Deepgram Speak event in San Francisco. The Daily team will join Deepgram, and Pipecat will remain fully open source and free to developers under its existing BSD V2 license.

Deepgram said Pipecat and Daily’s global real-time network infrastructure will underpin its new Voice Agent Platform alongside its own speech models, forming what it described as the first complete, open, production-grade platform for conversational voice AI. The company characterized Pipecat as the world’s most popular open-source voice agent framework and said Daily’s network connects end users to voice agents with ultra-low latency and high reliability.

Daily co-founder Kwindla Hultman Kramer joins Deepgram as Head of Open Source. “Keeping Pipecat open was fundamental to our decision to join Deepgram,” Kramer said in the acquisition announcement. Deepgram CEO and co-founder Scott Stephenson said Kramer and the Daily team understand what it takes to keep a live conversation working reliably, and that acquiring Daily brings that expertise together with Deepgram’s to tackle the whole voice system and give developers a faster path from prototype to production.

Open-Source Commitments and the Pipecat Foundation

Beyond keeping the framework free under the BSD V2 license, Deepgram said it will invest in Pipecat’s continued development and community while keeping all of Pipecat open source and vendor neutral, so developers can choose and combine models, tools, network transport, and APIs from different providers. The companies are also establishing an independent Pipecat Foundation together with many of the organizations that have contributed to and use the framework.

In a separate post on Daily’s blog, Kramer wrote that the foundation will be managed by a steering committee representing the entire realtime AI ecosystem, including companies that compete with Deepgram. He wrote that nothing will change for Daily’s customers and the Pipecat ecosystem: Deepgram will sell, support, and develop all of Daily’s current products and services, including WebRTC, telephony, and cross-platform libraries, and Pipecat will remain vendor neutral. Kramer also wrote that Deepgram is adopting Pipecat as the core of its new voice AI products and services.

Kramer wrote that Pipecat has more than 200 integrations and almost 400 contributors. He credited 18 engineers with building the framework, giving special thanks to Mark, who he said has driven Pipecat’s development since its launch, and thanked the investors who led Daily’s rounds — David Waxman at TenOneTen, Avidan Ross at Root, Jenny Lefcourt at Freestyle, Lachy Groom, and Roseanne and Renata at Renegade Partners — along with board members Lee Edwards and Roseanne Wincek.

The Companies’ Shared History

Kramer recounted that he and Nina founded Daily to build infrastructure for realtime audio and video, which meant writing optimized packet-routing software, designing and deploying specialized compute clusters in dozens of locations globally, and writing client libraries that let developers embed realtime audio and video into web, desktop, and native mobile applications. Daily and Deepgram went through Y Combinator together in 2016, he wrote, and Deepgram has powered transcription inside Daily’s audio-video APIs since 2019.

Daily began building realtime voice agents and AI-native software experiments in 2023, Kramer wrote, and open sourced all of Pipecat in 2024: the core orchestration framework, client-side SDKs for every platform and language, the RTVI messaging and events standard, the Pipecat Smart Turn native-audio turn-detection model, SmallWebRTC transport, and the Pipecat Flows context engineering library. He described Pipecat as the most widely used voice agents and multimodal AI framework, saying it handles problems such as switching between models, low-latency network transport, streaming data between models, turn detection, and interruption handling.

According to Deepgram’s announcement, Daily’s infrastructure is a global network of 75 points of presence engineered for the latency and reliability demands of live AI. Deepgram said its own speech models and real-time infrastructure power conversational voice AI in production for more than 5,000 organizations globally, and that more than 650,000 developers have used Deepgram to process more than 200,000 years of audio.

Real-Time Context Standard and Next Steps

At Speak, Stephenson also introduced the Real-Time Context Standard (RCS), an open protocol co-developed with the Pipecat team. According to Deepgram, RCS addresses a gap in current voice AI systems: words pass from one model to the next, while the audio context around them, such as tone, who is speaking, and what is happening in the background, gets lost along the way. RCS defines three new types of metadata: context from the audio, such as a whisper or an unclear word; instructions for how a language model should use those signals; and guidance for how the response should sound. Adapters translate those signals and delivery instructions for each model, so developers can use the same approach with models from different providers.

The Real-Time Context Standard demo repository describes RCS as an open standard that carries that context in the same text stream, in formats any model in the chain can produce and read. Its demo voice agent handles customer service for an outdoor gear shop called Northwind Outfitters, chaining Deepgram Flux speech-to-text, a tone reader that reads each user turn for emotion and sarcasm, the PhoneLLM Mini language model, and ElevenLabs text-to-speech, with deployment on Pipecat Cloud. Deepgram invited developers, model providers, and teams building voice applications to test RCS in their own systems, share feedback, and contribute to the specification.

Later the same day at Speak, Chief Product Officer Ed Anuff was scheduled to preview the forthcoming Deepgram Voice Agent Platform and to introduce two new models built for live conversation, expanded language support, and a Global API designed to improve connection reliability and reduce latency. Deepgram said full technical details, demos, and availability for the day’s remaining product announcements would be published on its blog following Anuff’s keynote.

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