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Today we're launching Data Connectors in Parallel. Your agents can now work with specialized third-party data through Parallel's best-in-class agentic web research APIs. Our first partners are Allium, Apollo.io, Baselayer, Carbon Arc, crunchbase, Faraday AI, Harmonic, Middesk, Similarweb , Particle News, Pensa Systems, and Polymarket. We're also launching free,...

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Parallel Web Systems

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54,757 просмотров • 10 дней назад •via X (Twitter)

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We're launching 5x faster document parsing in the Firecrawl MCP. Use /parse to turn PDFs, spreadsheets, and docs into LLM-ready data for your agents. Supports running locally or with our hosted MCP server. Try it out today with no API key required on our free tier!
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We're launching 5x faster document parsing in the Firecrawl MCP. Use /parse to turn PDFs, spreadsheets, and docs into LLM-ready data for your agents. Supports running locally or with our hosted MCP server. Try it out today with no API key required on our free tier!

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Today we're officially launching Moby 2 to the world (and to our full house at The Whalies in Los Angeles). It is the only AI ecommerce brands can trust to do work for them. We’re also launching: • Moby Specialists, purpose-built AI specialists for media buying, creative, and conversion optimization • Compass, our new unified measurement system combining attribution, incrementality, and MMM • New upgrades to Sonar Optimize (including attribution passback) and Clicks & Deterministic Views Attribution Built on data from 60,000+ brands and $82B in tracked revenue, Triple Whale is the AI operating system for ecommerce, and Moby 2 is the operator, always working for you. See it in action:
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Today we're officially launching Moby 2 to the world (and to our full house at The Whalies in Los Angeles). It is the only AI ecommerce brands can trust to do work for them. We’re also launching: • Moby Specialists, purpose-built AI specialists for media buying, creative, and conversion optimization • Compass, our new unified measurement system combining attribution, incrementality, and MMM • New upgrades to Sonar Optimize (including attribution passback) and Clicks & Deterministic Views Attribution Built on data from 60,000+ brands and $82B in tracked revenue, Triple Whale is the AI operating system for ecommerce, and Moby 2 is the operator, always working for you. See it in action:

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4,699,578 просмотров • 4 месяцев назад

.Sentient has just integrated Blockworks Data 's data and research into its AI-powered search platform, Sentient Chat. This partnership basically allows users to access Messari’s research directly through the Agent Hub in Sentient Chat where they can get instant answers and insights from Messari reports. The integration is done via Messari Copilot, which means users can now easily get to Messari’s crypto data without having to dig through extensive reports themselves. Messari's data and research now feeds into Sentient’s Agentic Perplexity, here users can access this in the Agent Hub for all their crypto related questions. Integrating Messari’s research now helps provide an open & community-driven platform for AI-powered search, ensuring that users have access to the best crypto data and insights in real time, while also expanding the functionality of Sentient’s Agent Hub, where users can find and use a growing library of AI agents for various tasks. Now I don't know about you but I know where I'll be getting my stats from moving forward.
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.Sentient has just integrated Blockworks Data 's data and research into its AI-powered search platform, Sentient Chat. This partnership basically allows users to access Messari’s research directly through the Agent Hub in Sentient Chat where they can get instant answers and insights from Messari reports. The integration is done via Messari Copilot, which means users can now easily get to Messari’s crypto data without having to dig through extensive reports themselves. Messari's data and research now feeds into Sentient’s Agentic Perplexity, here users can access this in the Agent Hub for all their crypto related questions. Integrating Messari’s research now helps provide an open & community-driven platform for AI-powered search, ensuring that users have access to the best crypto data and insights in real time, while also expanding the functionality of Sentient’s Agent Hub, where users can find and use a growing library of AI agents for various tasks. Now I don't know about you but I know where I'll be getting my stats from moving forward.

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Today we're dropping the "beta" tag from Adaptyv, launching our new website and announcing our $8M seed round. When we started Adaptyv a few years ago, our core belief was: AI models for biology are only as good as the experimental data they're trained on and the hypotheses they can test in the real world. Now, after a year of working with many great partners, we’ve scaled our infrastructure to the point that we're now open to anyone who wants to use our platform! Overall, this year, over 30 companies started using Adaptyv to validate their protein designs - from some of the biggest pharmas to frontier AI labs to many, many techbio startups. We've run hundreds of experiments, tested well over 10,000 proteins this year and are generating the data that validates the best AI models currently in development.
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Today we're dropping the "beta" tag from Adaptyv, launching our new website and announcing our $8M seed round. When we started Adaptyv a few years ago, our core belief was: AI models for biology are only as good as the experimental data they're trained on and the hypotheses they can test in the real world. Now, after a year of working with many great partners, we’ve scaled our infrastructure to the point that we're now open to anyone who wants to use our platform! Overall, this year, over 30 companies started using Adaptyv to validate their protein designs - from some of the biggest pharmas to frontier AI labs to many, many techbio startups. We've run hundreds of experiments, tested well over 10,000 proteins this year and are generating the data that validates the best AI models currently in development.

Adaptyv Bio

11,636 просмотров • 1 год назад

Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:
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Our @Grammarly AI agents are here! Today, we’re launching eight new AI agents designed for students and professionals. We created many of these agents with students in mind because they’re the first generation entering a job market where employers expect both subject expertise AND AI fluency. These agents help with everything from finding credible sources to predicting reader reactions. One agent we’ve gotten great feedback on is AI Grader (I wish I had this in school), which you can see in the video below. It looks at your assignment rubric and gives you suggestions like your professor would, and a grade prediction before you submit your work. And these agents are available in docs, our new AI-native writing surface! I’m deeply proud of this launch—docs is powered by Coda (Superhuman Docs) technology and is a great integration moment between Grammarly and Coda. This is just the beginning of Grammarly’s journey to offering agents that work everywhere people work and collaborate. I’ve been loving using these agents, and I’m excited for our customers to get access. Try them for yourself here and let me know what you think:

Shishir

13,564 просмотров • 1 год назад

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Really excited about our launch of Superagent today! Powered by the latest AI models, agents have reached a breakthrough moment where they can do incredible work, with high ease of use--without requiring complicated tuning, prompting, or configuration. Superagent represents the freeform agent that can research anything (and soon your own company's context) and output an incredible, interactive webpage. It's like having your own personal NYTimes-quality data viz/web team building bespoke pages for you. This is the perfect complement to the structured system of operations for the AI era that Airtable has become, and we will be launching more integrations between the two products in the near future. Think: launch Superagent tasks from within Airtable records or Airtable Omni, or have Superagent output/edit/read data into Airtable bases! Excited for this new frontier of breakthrough agents, and applying our product and design philosophy of making powerful capabilities intuitive and accessible-what we did for app building with Airtable, we're now doing for agents with Superagents.

Howie Liu

10,125 просмотров • 8 месяцев назад

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You can now classify documents with open-weight VLMs at ultra-low cost with our TypeSafe AI Jev-compatible API in the VLM Run gateway! $1 buys you 6700+ pages, and the full 1,651-page OmniDocBench run cost 25 cents. It reads the page as pixels (no OCR->LLM hacks) and hands back one typed, calibrated decision per page - ~180ms p50 e2e. Jev really opened developers' eyes to re-thinking how we process data at the cost-pareto front. A week later we're bringing that to our APIs with vision as a first-class citizen. Try our gateway today - free to sign-up and try!

Sudeep Pillai

20,482 просмотров • 6 дней назад

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Kooko means business. Bring on the big briefs! Formerly Oreate AI, the all-in-one AI workspace has reached 10M+ international users across nearly 200 countries and regions in its first year. With Kooko, you can: - Research, analyze data, and create content using the files and sources you give it access to - Turn a brief into documents, presentations, spreadsheets, and more, then refine them in the built-in Office editor - Build on previous projects with memory that saves your edits, preferences, and completed work as context for future tasks With apps for desktop and mobile, Kooko is ready to take on your next assignment, wherever you are. Put Kooko to work👇

Baidu Inc.

87,763 просмотров • 13 дней назад

Today we're shipping the governance layer enterprise AI was missing. Every organization running AI at scale faces the same choice: turn off AI connections to tools entirely, or let agents have full access to everything. Today we're launching a better path: precise control over connections, actions, and models across every surface. The goal is simple: IT gets visibility and control, teams keep building, no approval queue in between. 6 new capabilities in Zapier today: 1. Action restrictions at the endpoint level 2. Managed app connections with domain control 3. Bring your own model through AWS Bedrock 4. A queryable audit trail 5. Agents GA with MCP governed across every surface 6. Workspaces (GA later this quarter) One set of rules for your entire AI stack. Try it now. If you've had early access, let me know what you think.
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Today we're shipping the governance layer enterprise AI was missing. Every organization running AI at scale faces the same choice: turn off AI connections to tools entirely, or let agents have full access to everything. Today we're launching a better path: precise control over connections, actions, and models across every surface. The goal is simple: IT gets visibility and control, teams keep building, no approval queue in between. 6 new capabilities in Zapier today: 1. Action restrictions at the endpoint level 2. Managed app connections with domain control 3. Bring your own model through AWS Bedrock 4. A queryable audit trail 5. Agents GA with MCP governed across every surface 6. Workspaces (GA later this quarter) One set of rules for your entire AI stack. Try it now. If you've had early access, let me know what you think.

Wade Foster

32,542 просмотров • 5 месяцев назад

Today I'm launching We are still in beta so right now we just have an events calendar that will be listing all future IRL events targeted towards art hoes, e-girls, and tech bros. With that, we also have a fun MS Paint style drawing pad where you can share your scribbles. There are many more things coming to the platform including selling and buying of art, user-curated art feeds, and much more. Play around with our website and feel free to share feedback! Follow me and Gal•ler•y to keep up with our art hoe antics.
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Today I'm launching We are still in beta so right now we just have an events calendar that will be listing all future IRL events targeted towards art hoes, e-girls, and tech bros. With that, we also have a fun MS Paint style drawing pad where you can share your scribbles. There are many more things coming to the platform including selling and buying of art, user-curated art feeds, and much more. Play around with our website and feel free to share feedback! Follow me and Gal•ler•y to keep up with our art hoe antics.

moons

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The First Omni-chain Restaking L2 now powered by the Pyth Network 🔮? Indeed, the Pyth Price Feeds are now available on Alex T. Plumley and already secure the Parallel Super App Learn more below: ℹ️ About Parallel Network Parallel Network is the first omni-chain restaking L2 that focuses on decentralized, secure, restaking with EigenLayer. Backed by $30 million in investment from Sequoia, Polychain, Founders Fund, and more, Parallel Network aims to enhance the omni-chain experience through efficient restaking, lending, and liquidity. ℹ️ About Parallel Super App The Parallel Super App, stands as an integrated platform that offers a comprehensive suite of DeFi products including lending, staking, trading, and more across diverse networks. The Parallel Super App boasts $82m+ in TVL across its EVM and Polkadot products. Combining its Super App and L2, Parallel will significantly enhance the omni-chain liquidity and restaking experience. 🔮 Being powered by the Pyth Network on Parallel With the 450+ Pyth Price Feeds now live and permissionlessly usable on the Parallel Network, DeFi is ready to bloom. And as a matter of fact, the Pyth oracle is already securing the Parallel Super App. 🗣️ Quotes "We're excited to work with Pyth to secure our price feeds”, said Yubo Ruan, Founder and CEO, Parallel Network. “As the largest and most trusted oracle network, we will work closely with Pyth to ensure secure and accurate market data for Parallel and its products.”
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The First Omni-chain Restaking L2 now powered by the Pyth Network 🔮? Indeed, the Pyth Price Feeds are now available on Alex T. Plumley and already secure the Parallel Super App Learn more below: ℹ️ About Parallel Network Parallel Network is the first omni-chain restaking L2 that focuses on decentralized, secure, restaking with EigenLayer. Backed by $30 million in investment from Sequoia, Polychain, Founders Fund, and more, Parallel Network aims to enhance the omni-chain experience through efficient restaking, lending, and liquidity. ℹ️ About Parallel Super App The Parallel Super App, stands as an integrated platform that offers a comprehensive suite of DeFi products including lending, staking, trading, and more across diverse networks. The Parallel Super App boasts $82m+ in TVL across its EVM and Polkadot products. Combining its Super App and L2, Parallel will significantly enhance the omni-chain liquidity and restaking experience. 🔮 Being powered by the Pyth Network on Parallel With the 450+ Pyth Price Feeds now live and permissionlessly usable on the Parallel Network, DeFi is ready to bloom. And as a matter of fact, the Pyth oracle is already securing the Parallel Super App. 🗣️ Quotes "We're excited to work with Pyth to secure our price feeds”, said Yubo Ruan, Founder and CEO, Parallel Network. “As the largest and most trusted oracle network, we will work closely with Pyth to ensure secure and accurate market data for Parallel and its products.”

Pyth Network 🔮

48,660 просмотров • 2 лет назад

Frameworks such as ai16zdao's Eliza and Virtuals Protocol have been instrumental in early AI agent developments. Agent swarms working in hierarchy represents for many the next logical step in unlocking the vast potential of AI. Learn below how Shadō Network achieves this. AI agents launched through current popular platforms have individual personas, on-chain functions and access to data via various APIs. This being said, they operate in isolated environments, with a ceiling on emergent behaviour such as collaboration or competition. Shadō Network invites massive expansion for capabilities of both new and existing AI agents, with an open-source package easily integrated into popular frameworks that enables the launching of stratified agent swarms. Our website is live: The "Shadō Play" package provides a modular, configurable platform for creating or employing agents of choice in a swarm-like setup, opening a Pandora’s box of near infinite emergent agent behaviours, relationships and functionalities. Users will be able to make use of various prefab client integrations such as Twitter, Telegram, Ollama, and others to specify swarms to their needs or create their own extensions to enhance agent capabilities even further. Agents operate with a memory module and a HTN for autonomously deciding which interactions to act on, walking the line between autonomy and configurability. The Shadō Network project’s development is supported by our ghostly friend Omnipotent (👻,👻), an AI agent developed by the Shadō Network team trained on and fine tuned with a multitude of academic data related to artificial intelligence, blockchain, finance, software engineering, world building and more. Omnipotent serves as both an interactive steward for the project and as an asset - regularly scanning social platforms, websites and newsfeeds he is capable of providing the team project development advice, whilst also communicating with the wider world via his automated X account (launching soon). Shado Network is collaborative and open-sourced. Agentic Swarms require a developer swarm to maximize the technical capabilities and impact the greatest number of users. Our dedicated team of core contributors are active in other web3 AI repos and are here to guide project direction and foster growth. We’re facilitators, not gatekeepers... Alone we can go fast but together we can go far. A lot more to come soon. 👻
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Frameworks such as ai16zdao's Eliza and Virtuals Protocol have been instrumental in early AI agent developments. Agent swarms working in hierarchy represents for many the next logical step in unlocking the vast potential of AI. Learn below how Shadō Network achieves this. AI agents launched through current popular platforms have individual personas, on-chain functions and access to data via various APIs. This being said, they operate in isolated environments, with a ceiling on emergent behaviour such as collaboration or competition. Shadō Network invites massive expansion for capabilities of both new and existing AI agents, with an open-source package easily integrated into popular frameworks that enables the launching of stratified agent swarms. Our website is live: The "Shadō Play" package provides a modular, configurable platform for creating or employing agents of choice in a swarm-like setup, opening a Pandora’s box of near infinite emergent agent behaviours, relationships and functionalities. Users will be able to make use of various prefab client integrations such as Twitter, Telegram, Ollama, and others to specify swarms to their needs or create their own extensions to enhance agent capabilities even further. Agents operate with a memory module and a HTN for autonomously deciding which interactions to act on, walking the line between autonomy and configurability. The Shadō Network project’s development is supported by our ghostly friend Omnipotent (👻,👻), an AI agent developed by the Shadō Network team trained on and fine tuned with a multitude of academic data related to artificial intelligence, blockchain, finance, software engineering, world building and more. Omnipotent serves as both an interactive steward for the project and as an asset - regularly scanning social platforms, websites and newsfeeds he is capable of providing the team project development advice, whilst also communicating with the wider world via his automated X account (launching soon). Shado Network is collaborative and open-sourced. Agentic Swarms require a developer swarm to maximize the technical capabilities and impact the greatest number of users. Our dedicated team of core contributors are active in other web3 AI repos and are here to guide project direction and foster growth. We’re facilitators, not gatekeepers... Alone we can go fast but together we can go far. A lot more to come soon. 👻

Shadō Network | シャドウネットワーク

23,546 просмотров • 1 год назад

Today we are launching Kaito Studio beta. Starting today, we’re moving to a new model where brands and creators can more intentionally match based on mutual fit, selection, and expectations - launching with 16 partners, with more in the pipeline as details are finalized. Since launching our waitlist in February, a rapidly growing network of creators has joined Kaito Studio, representing 80 million collective followers and $14 billion in follower net worth. These creators span 118 countries, with English-focused creators making up the largest segment, and China and Korea representing the largest country cohorts. Around 30% have also joined with TikTok, Instagram, or YouTube accounts, positioning them to bring content cross-platform. From here, Kaito Studio will focus on solving three main problems, one step at a time: - Ambassador and creator matching - helping brands find the right ambassadors or creators based on data, audience, and subject alignment - Performance attribution - measuring real impact across influence, mindshare, and conversion - End-to-end orchestration - powering a repeatable workflow from creator matching and campaign execution to measurement, evaluation, and optimization We will ramp up opportunities over the coming weeks as more brands finalize their profiles and program details. As we continue building more features for the GenAI and agentic ecosystem, stay tuned for more opportunities ahead.
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Today we are launching Kaito Studio beta. Starting today, we’re moving to a new model where brands and creators can more intentionally match based on mutual fit, selection, and expectations - launching with 16 partners, with more in the pipeline as details are finalized. Since launching our waitlist in February, a rapidly growing network of creators has joined Kaito Studio, representing 80 million collective followers and $14 billion in follower net worth. These creators span 118 countries, with English-focused creators making up the largest segment, and China and Korea representing the largest country cohorts. Around 30% have also joined with TikTok, Instagram, or YouTube accounts, positioning them to bring content cross-platform. From here, Kaito Studio will focus on solving three main problems, one step at a time: - Ambassador and creator matching - helping brands find the right ambassadors or creators based on data, audience, and subject alignment - Performance attribution - measuring real impact across influence, mindshare, and conversion - End-to-end orchestration - powering a repeatable workflow from creator matching and campaign execution to measurement, evaluation, and optimization We will ramp up opportunities over the coming weeks as more brands finalize their profiles and program details. As we continue building more features for the GenAI and agentic ecosystem, stay tuned for more opportunities ahead.

Kaito AI 🌊

591,543 просмотров • 7 месяцев назад

Remember when we as football fans had to rely solely on paper draft guides, sports radio rumors, and gut feelings to predict draft day decisions? Excited that fans now have access to the NFL's Draft IQ powered by Amazon Web Services ( – the most sophisticated tool yet for following the NFL draft and your favorite team's strategy. Draft IQ is built on Amazon QuickSight, our cloud business intelligence service that makes it easy to analyze and visualize massive amounts of data. QuickSight processes real-time data to give fans unprecedented insight into team decision-making, updating the entire draft landscape every five minutes. You can explore team needs, draft capital, and front office tendencies through personalized team dashboards, plus get AWS-powered machine learning predictions about potential trades and picks. During draft week, fans can track picks, prospects, and Next Gen Stats in real-time. We're also introducing Amazon Q Business integration, our generative AI-powered assistant. Q Business leverages large language models to understand and respond to natural language queries, allowing fans to ask detailed questions about draft prospects, team strategies, and historical draft data. It can provide AI-generated insights based on the same historical Next Gen Stats research data that powers Draft IQ, giving fans a new way to engage with the draft experience (check out the example below). Can't wait to see what stories the data tells us as teams make their selections and excited to dig into the Giants' data myself :)
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Remember when we as football fans had to rely solely on paper draft guides, sports radio rumors, and gut feelings to predict draft day decisions? Excited that fans now have access to the NFL's Draft IQ powered by Amazon Web Services ( – the most sophisticated tool yet for following the NFL draft and your favorite team's strategy. Draft IQ is built on Amazon QuickSight, our cloud business intelligence service that makes it easy to analyze and visualize massive amounts of data. QuickSight processes real-time data to give fans unprecedented insight into team decision-making, updating the entire draft landscape every five minutes. You can explore team needs, draft capital, and front office tendencies through personalized team dashboards, plus get AWS-powered machine learning predictions about potential trades and picks. During draft week, fans can track picks, prospects, and Next Gen Stats in real-time. We're also introducing Amazon Q Business integration, our generative AI-powered assistant. Q Business leverages large language models to understand and respond to natural language queries, allowing fans to ask detailed questions about draft prospects, team strategies, and historical draft data. It can provide AI-generated insights based on the same historical Next Gen Stats research data that powers Draft IQ, giving fans a new way to engage with the draft experience (check out the example below). Can't wait to see what stories the data tells us as teams make their selections and excited to dig into the Giants' data myself :)

Andy Jassy

102,921 просмотров • 1 год назад

Today, we’re announcing 14.ai, the Cursor for customer support. Customer support is evolving fast. The old model - humans triaging queues in clunky ticketing systems - doesn’t scale. And slapping an AI layer on top of legacy tools doesn’t cut it anymore. We can do so much better. We spent the last year building and refining the AI infrastructure and integrating it into existing ticketing systems. But now it’s time to break free. 𝟭𝟰.𝗮𝗶 𝗶𝘀 𝘁𝗵𝗲 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗴𝗿𝗼𝘂𝗻𝗱 𝘂𝗽 𝗳𝗼𝗿 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝘁𝗲𝗮𝗺𝘀. Built for the way humans and AI are meant to work together, it enables a level of speed, clarity, and productivity that feels superhuman. Every day you rely on outdated tools is a day your competitors get faster, more responsive, and more in tune with their customers. Zendesk brought ticketing online in 2007. We're bringing it into the AI age. Built in 2025, for 2025. Early access now open below.
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Today, we’re announcing 14.ai, the Cursor for customer support. Customer support is evolving fast. The old model - humans triaging queues in clunky ticketing systems - doesn’t scale. And slapping an AI layer on top of legacy tools doesn’t cut it anymore. We can do so much better. We spent the last year building and refining the AI infrastructure and integrating it into existing ticketing systems. But now it’s time to break free. 𝟭𝟰.𝗮𝗶 𝗶𝘀 𝘁𝗵𝗲 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗱𝗲𝘀𝗶𝗴𝗻𝗲𝗱 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗴𝗿𝗼𝘂𝗻𝗱 𝘂𝗽 𝗳𝗼𝗿 𝗔𝗜-𝗻𝗮𝘁𝗶𝘃𝗲 𝘁𝗲𝗮𝗺𝘀. Built for the way humans and AI are meant to work together, it enables a level of speed, clarity, and productivity that feels superhuman. Every day you rely on outdated tools is a day your competitors get faster, more responsive, and more in tune with their customers. Zendesk brought ticketing online in 2007. We're bringing it into the AI age. Built in 2025, for 2025. Early access now open below.

Michael Fester

48,744 просмотров • 1 год назад

Announcing Centaur 2.0! Centaur is frontier, agentic infrastructure that you own. Centaur is like Claude Tag, but open source and on steroids. Centaur 2.0 can connect to everything you have access to, and can reason over it next to where you work, either in Slack, Discord, Teams or in your local Codex or Claude Code via an MCP. But context isn't useful if it can be accessed by anyone, so we rebuilt Centaur from the ground up for security. Centaur obviously doesn't have access to secrets because we're leveraging egress proxies. Centaur 2.0 takes that a step further enabling administrators to configure who can access what from where. This means that Centaur can have access to private information that you normally wouldn't feel comfortable giving it access to (e.g. DMs or sensitive channels and docs) but only expose it to authorized principals. It also means you can add Centaur to external channels and leverage it as a virtual colleague that doesn't live only in your Slack, for example, but also your Slack Connect channels! This is extremely powerful as we start moving to a world where agents cross organizational boundaries. Also in case anyone's wondering, yes we rewrote it in Rust! Centaur is now way way more stable at durably executing threads, and its workflow engine is now based on Absurd. We have been operating Centaur since January, officially launched and Open Sourced it in May, and now we're full speed towards making it the #1 open source agentic infrastructure. To succeed at that, I'm thrilled to welcome Matthew Slipper to the Paradigm team who will be leading all our Applied AI work, while continuing to maintain and extend Iron Proxy as the leading secure secret access for agents. Welcome Matt, it's an honor after all these years of knowing you! Read the full blogpost below, and apply to join our team!
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Announcing Centaur 2.0! Centaur is frontier, agentic infrastructure that you own. Centaur is like Claude Tag, but open source and on steroids. Centaur 2.0 can connect to everything you have access to, and can reason over it next to where you work, either in Slack, Discord, Teams or in your local Codex or Claude Code via an MCP. But context isn't useful if it can be accessed by anyone, so we rebuilt Centaur from the ground up for security. Centaur obviously doesn't have access to secrets because we're leveraging egress proxies. Centaur 2.0 takes that a step further enabling administrators to configure who can access what from where. This means that Centaur can have access to private information that you normally wouldn't feel comfortable giving it access to (e.g. DMs or sensitive channels and docs) but only expose it to authorized principals. It also means you can add Centaur to external channels and leverage it as a virtual colleague that doesn't live only in your Slack, for example, but also your Slack Connect channels! This is extremely powerful as we start moving to a world where agents cross organizational boundaries. Also in case anyone's wondering, yes we rewrote it in Rust! Centaur is now way way more stable at durably executing threads, and its workflow engine is now based on Absurd. We have been operating Centaur since January, officially launched and Open Sourced it in May, and now we're full speed towards making it the #1 open source agentic infrastructure. To succeed at that, I'm thrilled to welcome Matthew Slipper to the Paradigm team who will be leading all our Applied AI work, while continuing to maintain and extend Iron Proxy as the leading secure secret access for agents. Welcome Matt, it's an honor after all these years of knowing you! Read the full blogpost below, and apply to join our team!

Georgios Konstantopoulos

144,862 просмотров • 1 месяц назад

Introducing the BIOS API: Turn Your Agent Into a Research Scientist Built to: 🦞 Add biomedical workflows to your OpenClaw🦞 agent 🧠 Create research or health agents w/ on-demand scientific intelligence 🧪 Pay per query via x402 on Base Any agent or app can now tap into the BIOS AI Scientist, plugging BIOS into the broader agent economy. What is BIOS? BIOS is an AI Scientist designed to handle complex biomedical research by orchestrating specialized scientific subagents. Ranked #1 on the leading bioinformatics benchmark, BIOS is already being used by 1,000+ researchers and labs to build new drugs and medicines. An Agentic Economy for Science AI agents have proven they can form multi-billion dollar ecosystems. BIOS applies the same primitives to drug discovery pipelines and health. Instead of coding bots and personal AI assistants, think research agent swarms running on a modern scientific stack. Imagine an OpenClaw agent built for longevity: It scans new literature daily, generates novel compound hypotheses through BIOS, designs validation workflows, and routes the best candidates to wet-lab funding - all programmatically. Connect it with an agent for microbiome health, enabling agent “backrooms” that autonomously surface cross-disciplinary insights. Micropayments for Scientific Work via x402 Each query triggers payment routing to BIOS and whichever subagents contribute to a response. The best agents earn. Usage settles instantly across contributing sources. The goal is pay-per-task science: paying for a CRISPR assay result, licensing a genomic dataset, or triggering a clinical data query - all settled in seconds via USDC. No purchase orders. No grant bureaucracy. No middlemen. x402 is the payment rail that makes agent-to-lab commerce possible - letting capital and cognition route themselves to the highest-signal science. What Will You Build? Drug discovery copilots? Longevity scouts? Automated literature monitors? Scientific due diligence agents? We’ll soon share the first implementations of the BIOS API. Stay tuned and see below for instructions on generating an API key for your agent or use-case.
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Introducing the BIOS API: Turn Your Agent Into a Research Scientist Built to: 🦞 Add biomedical workflows to your OpenClaw🦞 agent 🧠 Create research or health agents w/ on-demand scientific intelligence 🧪 Pay per query via x402 on Base Any agent or app can now tap into the BIOS AI Scientist, plugging BIOS into the broader agent economy. What is BIOS? BIOS is an AI Scientist designed to handle complex biomedical research by orchestrating specialized scientific subagents. Ranked #1 on the leading bioinformatics benchmark, BIOS is already being used by 1,000+ researchers and labs to build new drugs and medicines. An Agentic Economy for Science AI agents have proven they can form multi-billion dollar ecosystems. BIOS applies the same primitives to drug discovery pipelines and health. Instead of coding bots and personal AI assistants, think research agent swarms running on a modern scientific stack. Imagine an OpenClaw agent built for longevity: It scans new literature daily, generates novel compound hypotheses through BIOS, designs validation workflows, and routes the best candidates to wet-lab funding - all programmatically. Connect it with an agent for microbiome health, enabling agent “backrooms” that autonomously surface cross-disciplinary insights. Micropayments for Scientific Work via x402 Each query triggers payment routing to BIOS and whichever subagents contribute to a response. The best agents earn. Usage settles instantly across contributing sources. The goal is pay-per-task science: paying for a CRISPR assay result, licensing a genomic dataset, or triggering a clinical data query - all settled in seconds via USDC. No purchase orders. No grant bureaucracy. No middlemen. x402 is the payment rail that makes agent-to-lab commerce possible - letting capital and cognition route themselves to the highest-signal science. What Will You Build? Drug discovery copilots? Longevity scouts? Automated literature monitors? Scientific due diligence agents? We’ll soon share the first implementations of the BIOS API. Stay tuned and see below for instructions on generating an API key for your agent or use-case.

Bio Protocol

25,957 просмотров • 7 месяцев назад