Sovereign AI starts with Haystack. The platform to build, run, & govern AI agents on your own terms. Follow @haystack_ai for open-source and community updates.

Berlin, Germany
Joined December 2017
The best AI agent delivers the quality you need at a cost you control. We're at @NVIDIAGTC Berlin demonstrating how Haystack Enterprise Platform helps enterprises build and run production-ready sovereign AI agents. 📍 Find us at booth 3071 in the AI Neighbourhood at STATION Berlin on Wednesday and Thursday. 🎤 On Thursday we’re on stage twice with @nvidia: • 10:00 Secure, self-improving agents • 14:00 Trustworthy AI platforms Come meet us! #NVIDIAGTC #gtcberlin
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What a moment for the deepset team at #NVIDIAGTC Berlin! 🚀 We welcomed @JensenHuang to our booth to discuss our work with @nvidia on open, sovereign AI agents and how Haystack is helping scale AI across the @EU_Commission. And to top it off, Jensen signed our DGX Spark! That one's going straight into the deepset history books.
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deepset, makers of Haystack retweeted
Engineers building production-scale AI applications, this one's for you 🫵 Next Wednesday (Oct 21), we're opening the Haystack Enterprise Platform to a small group of engineers for one night at the @deepset_ai office in Berlin. You get: 🔑 Your own platform workspace and API keys 🧭 A walkthrough from the people who build the platform 🛠️ Two hours to build and deploy your own @Haystack_AI agent 🏆 A leaderboard, with a prize for the top score ⏳ Access that stays open for a week, so you can keep going on your own use cases If you work in public sector or at a large organization, you know how hard it is to move AI agents from prototype to production with the control, security, and governance your organization requires. This is your chance to try a platform built for exactly that, hands-on, with our platform team in the room to help. Spots are very limited, and we're reviewing every application to build the right room. Bring a laptop; we'll handle the rest. 👉 Register here: luma.com/hep-hack-night
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And they're available on the Haystack Enterprise Platform!
Most of what we ask LLMs to do inside pipelines isn't generation. It's decisions. @typesafeai System One models are built for exactly that, and they're now in @Haystack_AI The new integration gives you two components: 🏷️ TypeSafeDocumentClassifier answers your questions about each document and stores the results in its metadata. 🔀 TypeSafeTextRouter sends text to the right branch, with an optional low_confidence output so uncertain cases can fall back to an LLM or a human. Use them with TypeSafe's hosted Jev model, or keep everything on your own infrastructure with Ollaya, which serves open decision models like Laya locally through the TypeSafe API. 🐍 pip install typesafe-haystack 👉 haystack.deepset.ai/integrat…
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deepset, makers of Haystack retweeted
🌐 Building an AI agent that needs web intelligence? @youdotcom brings semantic web search and real-time retrieval directly into your Haystack agents! Add YoucomWebSearch to your agent (or your pipeline), configure your You.com API credentials, and your agent can search the live web mid-run, pulling in content, snippets, and metadata that provide enough ground for downstream tasks. Think of an agent that researches a topic in real time instead of working off its index. 🐍 pip install youcom-haystack 🔗 haystack.deepset.ai/integrat…
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deepset, makers of Haystack retweeted
📣 We're hosting our next unconference in Berlin with @prior_labs, exploring open-weight models and open-source agents! Come join us if you'd like to discuss: → Structured data in agentic workflows → When agents should hand off to TabPFN for prediction → Benchmarking tabular models vs. LLMs → Why orchestration matters for production agents → What owning your stack end-to-end actually requires → Open-weight vs. closed models in practice Or anything else that's been challenging you lately! 📍 @deepset_ai HQ, Berlin 🗓️ September 24th, 6PM-9PM Register: luma.com/haystack-priorlabs
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We’re proud to be named one of the @Siftedeu 100 Fastest Growing Startups in DACH & CEE. For us, this recognition marks another step in our mission to help organisations build and scale sovereign AI on their own terms. With Haystack, we’re helping enterprises and public sector teams turn AI systems and agents into production applications that are controllable, adaptable, and built to deliver real business outcomes. Check out more in the full report: sifted.eu/intelligence/repor… #Sifted100 #SiftedLeaderboards
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deepset, makers of Haystack retweeted
🗽In NYC tonight? @DylanCouzon & @qdrant_engine are hosting a debate night, and @deepset_ai is teaming up Hear some hot AI takes, get a chance to win prizes, and learn about @Haystack_AI and @qdrant_engine along the way! luma.com/nyc-meetup-qdrant-0…
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We are thrilled to be among the ten finalists for The Spark – The Technology Award. For eleven years, @handelsblatt and @McKinsey have been recognizing Germany’s most innovative technology startups. This year’s theme is "Scaling Deep Tech", focusing on technologies that are already making a real-world impact today and shaping the future of industry and the economy. Now, we need your support. Vote by September 7th to help us reach the Top 3! Your vote counts directly toward the jury's decision. Vote for us here: lnkd.in/e49kgusV
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Work on a production-grade AI agent is never really finished. You ship it, watch how it behaves, and keep improving it. But that cycle only works if you can see what is happening inside every run. Getting that visibility often meant sending prompts, responses, and trace data to a separate third-party tool. Until now - we are launching Traces in Haystack Enterprise Platform: full observability for every pipeline, built directly into the platform that runs it. → See every run end to end: spans, tokens, inputs, outputs, logs, errors → Read the root cause in seconds, and tell a config error from a provider timeout → Compare two pipeline versions to see what a change cost before you ship it → All on your own infrastructure. Your data never leaves. Build, run, and improve your agents with full visibility at every step - all on one platform. Read the blog to see Traces in action: deepset.ai/blog/traces-relea…
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The new “The Top 10 Trends In Sovereign AI, 2026” research authored by @forrester Principal Analyst Dario Maisto explores how organizations are redefining Sovereign AI not as isolation, but as architectural choice. We're proud to see deepset and the Haystack Enterprise Platform recognized, including our work powering the @EU_Commission's AI@EC Platform. Our take: Sovereign AI means the freedom to choose your models, infrastructure, and deployment environment, while retaining full control. Learn more: deepset.ai/news/new-independ… #SovereignAI #Haystack #EnterpriseAI
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deepset, makers of Haystack retweeted
Haystack 3.0 shipped this month. We spent launch week showing you what it can do. Now here's what it took to build it 👇 Since @Haystack_AI 2.0: 2,400+ pull requests merged, 195 contributors, ~170 of them making their first-ever contribution along the way. 17,258 CI runs since the v3 branch was cut, roughly one every five minutes, around the clock, for eight weeks. Most-edited file of the whole cycle: agent.py. Of course it was. Migrating to 3.0? The full guide covers all breaking changes: docs.haystack.deepset.ai/doc… Or skip straight to haystack-v2-to-v3, an agent skill that migrates your v2 pipelines and agents for you. 💙 Huge thanks to our open-source team at @deepset_ai, and to our community contributors who shipped fixes and features for v3 alongside us! Haystack 3.0 is yours as much as it's ours. Got questions about migrating, or curious why we made a specific call? Join us at Haystack 3.0 Office Hours next week, August 4, with @LukawskiKacper and @bilgeycl 👉🏼 Register: luma.com/haystack-3
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AI sovereignty has become a mainstream enterprise priority. But the conversation often centers on a single question: Where does the model run? That's only part of the story. When you deploy AI agents in production, the real value accumulates around the model: the skills that encode how your team works, along with the tools, memory, workflows, and context unique to your organization. Models can be replaced. This agent orchestration layer cannot. The more important question becomes: Who controls that layer? If your skills, logic, and context only work inside a single vendor's runtime, lock-in hasn't disappeared. It has simply moved from the model to the orchestration layer around it. Today we're excited to introduce Haystack 3.0, designed to keep that layer open and under your control: → Portable skills you can read, version, and own → A programmable agent loop you can inspect, audit, and adapt → Built-in observability into how your agents think and operate Every AI agent runs inside an orchestration layer. True AI sovereignty means owning the agent orchestration layer, not just choosing where the model runs. With 3.0, that control stays in your hands: open source, model-agnostic, infrastructure-independent, and designed to keep the most valuable part of your AI system yours. @malte_pietsch dives deeper into this idea in his latest post: deepset.ai/blog/haystack-3-s…
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deepset, makers of Haystack retweeted
What a search week in Berlin! 🇩🇪 On Tuesday, we hosted "Retrieve. Remember. Reason" at the @deepset_ai offices, organized with @OpenSearchProj and @cognee_, featuring Women of Search (@atitaarora 🙏), where I got to demo what's possible with a knowledge base, memory, and @Haystack_AI's orchestration capabilities. More than half the room was women, which is rare and wonderful at tech meetups! 🫶 Then yesterday, I joined the Vector Space Meetup panel at @aicampusberlin, alongside @qdrant_engine, @cognee_, @llama_index, and @n8n_io, to talk about retrieval strategies, evaluation, orchestration, and what actually goes into production. Great panel and amazing networking session! Kudos to @krotenWanderung and the team It was a great week where I learned so much. Already looking forward to the next thing!
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deepset, makers of Haystack retweeted
Haystack now publishes a public Model Context Protocol server. Point Claude Code, Cursor, or any MCP-compatible coding agent at it and get real-time access to the latest Haystack docs - no API keys or sign-ups needed. 🖇️ docs.haystack.deepset.ai/doc…
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deepset, makers of Haystack retweeted
We over-trust LLMs, but not worry enough about the agentic loop around them when building agents At my @pyconit talk yesterday, I shared why agents fail and how a solid agent harness can fix them, code & slides below 👇
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deepset, makers of Haystack retweeted
Can't wait to be back in Bologna for @pyconit this week! I'm talking about why agents fail and how to fix them, with a live demo of our itinerary agent built using context-engineering patterns and @Haystack_AI! See you all there 🙌
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deepset, makers of Haystack retweeted
WHAT AN EVENT!! 🎉 Last week we hosted an unconference as @deepset_ai with @NVIDIA at @balderton office in London. 🎙️ We kicked off with two short talks. @LukawskiKacper demoed a multi-agentic post-event report creator built with @Haystack_AI and Nemotron 3 Super, @KarinSevegnani walked us through Nemotron 3's performance and benchmarks. 💬 Then we split into three discussion groups and I led a session on memory and long running agents. One of the most interesting conversations I've had in a while. We started with memory and second brain concepts. People shared how they're building personal agents by transcribing YouTube videos and creating knowledge bases following @karpathy's wiki idea. We talked RAG vs filesystems, MCPs vs skills, AI sovereignty and security. At the end of the day, you don't want to lock your whole identity to an API, privacy and freedom of choice matter. Thank you to every attendee for your energy, openness, and contributions. I'm already looking forward to coming back to London 💙 See you at Unconference #4 👀
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deepset, makers of Haystack retweeted
⭐ @Haystack_AI just crossed 25,000 stars on GitHub! This number means a lot to us, but what it really represents is you. Every contributor who opened a pull request. Every community member who answered a question on Discord. Every developer who filed an issue, wrote a notebook, gave a talk, or simply built something incredible with Haystack and shared it with the world. It's a true community effort 💙 When we first started Haystack, we believed that the journey to building great AI applications should be open, composable, and community-driven. 25,000 stars later, that belief has never felt more validated. Thank you to every single one of you: contributors, users, advocates, and builders. Let’s keep going! 🚀
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deepset, makers of Haystack retweeted
London people 👋 We're hosting an unconference with @nvidia on April 29th! 💂 This is our third unconference at @deepset_ai and if you haven't been to one before, it's very different from a typical meetup. Instead of talks, there are round table discussions with practitioners working through real context engineering challenges. Expect networking and genuine technical conversations. + we'll be talking about nemotron models and @LukawskiKacper is going to show a live demo. 📅 April 29, 6 PM 📍 @balderton offices Looking forward to the discussions!
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