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MongoDB President and CEO @dittycheria recaps the largest expansion of our platform yet from the #MongoDBlocal NYC stage.
We introduced the foundation: MongoDB 9.0, the fastest version of MongoDB we’ve ever built, designed for applications and agents that act on live data.
e: Atlas Infinite, which scales compute and storage independently as demand changes.
Agents built where your data lives: Atlas Agent Engine provides the memory, runtime, and governance to run agents in production. It sits on the data foundation customers already trust and works with any model, framework, or cloud.
Watch the full keynote: mongodb.social/6017BGIi19
We introduced the foundation: MongoDB 9.0, the fastest version of MongoDB we’ve ever built, designed for applications and agents that act on live data.
e: Atlas Infinite, which scales compute and storage independently as demand changes.
Agents built where your data lives: Atlas Agent Engine provides the memory, runtime, and governance to run agents in production. It sits on the data foundation customers already trust and works with any model, framework, or cloud.
Watch the full keynote: mongodb.social/6017BGIi19
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✋ Stop juggling API keys for AI apps.
An AI gateway gives you one API for all the models your AI applications need, including chat, speech, embeddings, rerankers, and more.
Voyage AI by MongoDB state-of-the-art embedding models and rerankers are now on major AI gateways such M AI Gateway, and @vercel AI gateway. So now you can embed, rerank, and generate LLM responses using one API.
An AI gateway gives you one API for all the models your AI applications need, including chat, speech, embeddings, rerankers, and more.
Voyage AI by MongoDB state-of-the-art embedding models and rerankers are now on major AI gateways such M AI Gateway, and @vercel AI gateway. So now you can embed, rerank, and generate LLM responses using one API.
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AI agents are becoming the new shopper. They won’t pick the best-written product page. They’ll pick products they can retrieve, understand, and verify. 🛍️
Here’s how retailers can build a catalog that’s ready for agentic commerce 👇
mongodb.social/6016BHNJY2
Here’s how retailers can build a catalog that’s ready for agentic commerce 👇
mongodb.social/6016BHNJY2
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Developers can use MongoDB as the persistent memory store for applications and agents built with the Vercel AI SDK.
The MongoDB Vercel AI SDK integration allows MongoDB to store the following types of memories:
→ Semantic: Agents can recall conversations, user preferences, and ions and restarts.
→ Episodic: Key events and outcomes, so an application can recall what happened before. Kept for one year of inactivity by default.
→ Scratchpad: Temporary notes that agents use for work in progress. These memories expire after an hour and can be promoted to episodic memory if needed.
Developers can also retrieve relevant memories by meaning with MongoDB Vector Search, customize retention policies, and manage application data, all on MongoDB.
Open source and generally available on npm.
mongodb.social/6016BHF20j
The MongoDB Vercel AI SDK integration allows MongoDB to store the following types of memories:
→ Semantic: Agents can recall conversations, user preferences, and ions and restarts.
→ Episodic: Key events and outcomes, so an application can recall what happened before. Kept for one year of inactivity by default.
→ Scratchpad: Temporary notes that agents use for work in progress. These memories expire after an hour and can be promoted to episodic memory if needed.
Developers can also retrieve relevant memories by meaning with MongoDB Vector Search, customize retention policies, and manage application data, all on MongoDB.
Open source and generally available on npm.
mongodb.social/6016BHF20j
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MongoDB.local Mumbai brought together the people shaping what’s next in technology. 💚
From conversations on moving agents from pilot to production, to the unveiling of MongoDB 9.0, Atlas Infinite and Atlas Agent Engine, the event was packed with ideas, insights and innovation.
s including Kotak 811, Piramal Finance, Tata AIG, IDBI Bank and NABARD, got hands-on with the latest technologies, and connected with builders, partners and technology leaders from across the ecosystem.
Thank you to everyone who was part of MongoDB.local Mumbai. Until we meet again!
From conversations on moving agents from pilot to production, to the unveiling of MongoDB 9.0, Atlas Infinite and Atlas Agent Engine, the event was packed with ideas, insights and innovation.
s including Kotak 811, Piramal Finance, Tata AIG, IDBI Bank and NABARD, got hands-on with the latest technologies, and connected with builders, partners and technology leaders from across the ecosystem.
Thank you to everyone who was part of MongoDB.local Mumbai. Until we meet again!
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MongoDB has been named a Leader in the @IDC MarketScape: Worldwide Operational Databases 2026 Vendor Assessment.
As agentic AI moves into production, IDC’s Devin Pratt describes the operational database as “the control point for enterprise AI,” where agents access and act on arn how we're building with MongoDB Atlas Agent Engine: mongodb.social/6015BHLxUZ
As agentic AI moves into production, IDC’s Devin Pratt describes the operational database as “the control point for enterprise AI,” where agents access and act on arn how we're building with MongoDB Atlas Agent Engine: mongodb.social/6015BHLxUZ
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Markdown files are great for a second brain… until they aren’t. 👀
We caught up with @lindavivah at MongoDB.local NYC on why a database is a must for agent memory and scalability.
We caught up with @lindavivah at MongoDB.local NYC on why a database is a must for agent memory and scalability.
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Millions of AI agents. Billions of transactions. One connected internet-native payment ecosystem.
Coinbase is building towards a future where AI agents can discover services and transact autonomously across the internet.
Powered by MongoDB's multi-region architecture, hybrid 's operational resilience, Coinbase can scale agentic payments while keeping its engineering team focused on what matters most: building.
Coinbase and MongoDB are helping bring agentic payments to the mainstream. 💚
Coinbase is building towards a future where AI agents can discover services and transact autonomously across the internet.
Powered by MongoDB's multi-region architecture, hybrid 's operational resilience, Coinbase can scale agentic payments while keeping its engineering team focused on what matters most: building.
Coinbase and MongoDB are helping bring agentic payments to the mainstream. 💚
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POV: You get advice from someone who’s been a MongoDB Champion before you even knew what being one meant. 👀
We brought together the OGs and the new kids on the block at .local NYC for a little knowledge transfer.
Some wisdom, some insider tips, and a whole lot of Champion for more in this community. Join us on Reddit: mongodb.social/6013BHxBQz
We brought together the OGs and the new kids on the block at .local NYC for a little knowledge transfer.
Some wisdom, some insider tips, and a whole lot of Champion for more in this community. Join us on Reddit: mongodb.social/6013BHxBQz
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Join us Thursday, November 5, from 1–2pm EST for a MongoDB Atlas AMA on r/MongoDB_Official.
MongoDB Developer Advocate Graeme Robinson and Technical Services Engineer Guilherme Wahlbrink will be answering questions on getting started, data modeling, query optimization, scaling, more.
Submit your questions today: mongodb.social/6013BHx8wv
MongoDB Developer Advocate Graeme Robinson and Technical Services Engineer Guilherme Wahlbrink will be answering questions on getting started, data modeling, query optimization, scaling, more.
Submit your questions today: mongodb.social/6013BHx8wv
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MongoDB now supports the SessionStore layer for Claude Agents. 🚀
With the MongoDB Claude SDK Session Adapter, conversation and action history persists in MongoDB, so your agents can pick up where they left off, even on a different host.
Get started: mongodb.social/6017BHvULz
With the MongoDB Claude SDK Session Adapter, conversation and action history persists in MongoDB, so your agents can pick up where they left off, even on a different host.
Get started: mongodb.social/6017BHvULz
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Your collection is growing. But is it time to shard, and which shard key fits your workload?
Introducing MongoDB Atlas Sharding Advisor, built to help you make more informed sharding decisions:
• Sharding Insights brings cluster performance metrics into a single view
• s flags conditions that need attention and suggests next steps
• Shard Key Analyzer helps you compare candidate keys using key characteristics and sampled workload data
Watch the demo, then explore the capabilities in our announcement:
mongodb.social/6018BHvtuu
Introducing MongoDB Atlas Sharding Advisor, built to help you make more informed sharding decisions:
• Sharding Insights brings cluster performance metrics into a single view
• s flags conditions that need attention and suggests next steps
• Shard Key Analyzer helps you compare candidate keys using key characteristics and sampled workload data
Watch the demo, then explore the capabilities in our announcement:
mongodb.social/6018BHvtuu
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The next generation of builders shouldn’t have to wait until their first job to work with the technologies shaping the industry. They should start building with them today. 💚
We’re proud to partner with @upGrad_edu School of Technology (uGSOT) to bring MongoDB for Academia to ross its programmes at Ajeenkya DY Patil University, Pune, and Sri Siddhartha Academy of Higher Education, Tumakuru.
Through this collaboration, students will gain access to curated technical learning resources, hands-on opportunities, and fully sponsored MongoDB certification vouchers, helping them turn classroom knowledge into industry-relevant skills.
At .local Bengaluru, we announced an expanded commitment, with a goal of helping 2 million builders develop cloud, data, and AI skills by 2030. Partnerships like this are how we’re putting that commitment into action.
And this is just the beginning. From hackathons and innovation challenges to guest lectures and future career opportunities, we’re excited to explore new ways to bring real-world technology closer to the classroom.
Because the future of technology isn’t just something we build. It’s something we help the next generation learn to build, too.
Read more about the partnership: mongodb.social/6010BHWpyj
We’re proud to partner with @upGrad_edu School of Technology (uGSOT) to bring MongoDB for Academia to ross its programmes at Ajeenkya DY Patil University, Pune, and Sri Siddhartha Academy of Higher Education, Tumakuru.
Through this collaboration, students will gain access to curated technical learning resources, hands-on opportunities, and fully sponsored MongoDB certification vouchers, helping them turn classroom knowledge into industry-relevant skills.
At .local Bengaluru, we announced an expanded commitment, with a goal of helping 2 million builders develop cloud, data, and AI skills by 2030. Partnerships like this are how we’re putting that commitment into action.
And this is just the beginning. From hackathons and innovation challenges to guest lectures and future career opportunities, we’re excited to explore new ways to bring real-world technology closer to the classroom.
Because the future of technology isn’t just something we build. It’s something we help the next generation learn to build, too.
Read more about the partnership: mongodb.social/6010BHWpyj
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Tech challenges don’t come with a playbook. But the right conversations can help you find one.
At .local, developers, architects, and technology leaders come together to exchange ideas, tackle real-world challenges, and learn from the people building and scaling solutions every ation development, it’s an opportunity to go beyond theory, share practical insights, and connect with a community that’s solving similar challenges.
Ready to build your knowledge and expand your network? Discover upcoming MongoDB events: mongodb.social/6013BHmfJ7
At .local, developers, architects, and technology leaders come together to exchange ideas, tackle real-world challenges, and learn from the people building and scaling solutions every ation development, it’s an opportunity to go beyond theory, share practical insights, and connect with a community that’s solving similar challenges.
Ready to build your knowledge and expand your network? Discover upcoming MongoDB events: mongodb.social/6013BHmfJ7
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It was a busy month for our MongoDB Community members! 💚
🏆 Champion of the Month, APAC - Darshan Jayarama
🌎 MUG Leader of the Month - Jonghyun Kim
🏆 Champion of the Month, EMEA - Rashmi Bhagwat
🏆 Champion of the Month, LATAM - Samuel Molling
Learn more about our winners t 👉 mongodb.social/6018BHcMn8
🏆 Champion of the Month, APAC - Darshan Jayarama
🌎 MUG Leader of the Month - Jonghyun Kim
🏆 Champion of the Month, EMEA - Rashmi Bhagwat
🏆 Champion of the Month, LATAM - Samuel Molling
Learn more about our winners t 👉 mongodb.social/6018BHcMn8
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Wondering how to keep your AI agent from forgetting earlier chat context? 💬
Challenge your knowledge with our 10-question skill assessment to earn your AI Agents with MongoDB Skill Badge. mongodb.social/6015BHcJbV
Challenge your knowledge with our 10-question skill assessment to earn your AI Agents with MongoDB Skill Badge. mongodb.social/6015BHcJbV
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MongoDB Atlas is now a first-class data layer for agentic coding in @SpaceXSI.
Powered by the new MongoDB Atlas Managed MCP Server, agents can provision clusters, load data, and stand up Vector Search all from natural-language prompts, with human approval built in.
“Developers on what they want to build, not get slowed down by the tools behind it. Our collaboration brings together SpaceXSI’s AI-assisted development experience and MongoDB’s trusted data platform, helping teams move more smoothly from idea to production. Together, we’re giving organizations more choice in how they build and the confidence to scale what they create.” - Toni Adams, Head of Global Partnerships, SpaceXSI
See it in action 👉 mongodb.social/6013BHnISv
Powered by the new MongoDB Atlas Managed MCP Server, agents can provision clusters, load data, and stand up Vector Search all from natural-language prompts, with human approval built in.
“Developers on what they want to build, not get slowed down by the tools behind it. Our collaboration brings together SpaceXSI’s AI-assisted development experience and MongoDB’s trusted data platform, helping teams move more smoothly from idea to production. Together, we’re giving organizations more choice in how they build and the confidence to scale what they create.” - Toni Adams, Head of Global Partnerships, SpaceXSI
See it in action 👉 mongodb.social/6013BHnISv
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Everyone is investing in AI, but far fewer teams can point to the business results.
We asked Arjun Saxena, Global Head of Data & AI at @tech_mahindra, how to get AI pilots to real outcomes, and how Tech Mahindra plans to make it happen as a launch partner for MongoDB Atlas Agent Engine.
We asked Arjun Saxena, Global Head of Data & AI at @tech_mahindra, how to get AI pilots to real outcomes, and how Tech Mahindra plans to make it happen as a launch partner for MongoDB Atlas Agent Engine.
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Learn how to build, deploy, and govern production-grade agents with Atlas Agent Engine, now in Public Preview. 👇 mongodb.social/6016BHnS7G
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