Enterprise AI needs more than token metrics. It needs traceability. Know what your agents executed, which tools they called, what data they used, and how they reached a result. That's how AI becomes trustworthy. datalayer.ai/guide #AI #AIAgents #Jupyter

🥈 We just open-sourced our **AI for Earthquake Response** solution. 2nd place at the ESA Φ-lab challenge. 📖 Blog: datalayer.blog/2025/09/12/a... 💻 Code: github.com/datalayer-ch... Next: reproduce it on Datalayer. #AI #OpenSource

**The cheapest token is the one you never send.** Most AI agents keep sending the same context back to the LLM. CodeMode keeps execution inside a **Code Sandbox**, sending only what's needed for the next decision. Fewer tokens. Lower cost. Faster agents. datalayer.ai/guide #AI #AIAgents #LLM

Datalayer ☰ AI Agents for Data Analysis

Datalayer ☰ AI Agents for Data Analysis

datalayer.ai

🚀 Jupyter MCP Server v1.2.0 is out. ⚠️ Breaking change: **Runtime** → **Code Sandbox**. This better reflects support for multiple execution backends. It's **not** the MCP v2 migration—that comes later. Migration guide: jupyter-mcp-server.datalayer.tech/releases/#mi... #MCP #Jupyter #OpenSource

AI agents need AI runtimes. Without a runtime, agents repeatedly rebuild context and redo work. Persistent execution makes agents faster, cheaper, and ready for production. datalayer.ai/guide #AI #AIAgents #Jupyter

🎨 One theme doesn't fit everyone. Datalayer now has 5 themes: 🟢 Datalayer (classic) 🌌 Spatial (cosmic) 🌹 Lovely (warm) 💚 Matrix (terminal) 🌍 Earth (nature) Plus Light, Dark & Auto modes. 🎥 www.loom.com/share/4977d2... Which theme would you pick?

Datalayer ☰ AI Agents for Data Analysis - 29 July 2026

Use Loom to record quick videos of your screen and cam. Explain anything clearly and easily – and skip the meeting. An essential tool for hybrid workplaces.

loom.com

🤝 Jupyter MCP Server keeps reaching new users! A recent request is to publish the project on **conda-forge**. If you have conda-forge experience, we'd love your help: github.com/datalayer/ju... New contributors? Start here: github.com/datalayer/ju... #Jupyter #OpenSource #Python #MCP

🪐 Jupyter MCP Server v1.1.3 is out! More reliability, better compatibility, and a smoother experience for AI agents working with Jupyter Notebooks. Release notes: github.com/datalayer/ju... #Jupyter #MCP #AI

Release Release 1.1.3 · datalayer/jupyter-mcp-server

🚀 Release 1.1.3 🔗 Links PyPI Docker Hub What's Changed fix(execute): track a timed-out execute_code's background task so is_kernel_busy sees it by @AmirF194 in #318 refactor: rename sandbox kern...

github.com

A small but important milestone for @datalayer.ai team: Jupyter MCP Server + Code Sandboxes now moves toward a multi-sandbox provider model. Keep one MCP while giving teams freedom to choose the runtime backend that fits each workload. #Jupyter #AI #MCP #Freedom #LockOut

🖥️ Datalayer Desktop 0.0.3 is out! Edit **hosted Jupyter Notebooks** from a native desktop app. No local Python setup—just connect to your notebooks and code. github.com/datalayer/de...

🪐 Jupyter MCP Server v1.0.7 is available. Highlights: • `clear_cell_output` • Better live notebook sync via YDoc • Safer `delete_cell` • Easier installation Thanks to our new contributors @AmirF194 and @sachhg! 🎉 github.com/datalayer/ju...

Release Release 1.0.7 · datalayer/jupyter-mcp-server

🚀 Release 1.0.7 🔗 Links PyPI Docker Hub What's Changed fix(delete_cell): reject negative and out-of-range cell indices by @sachhg in #294 fix(deps): require jupyter-collaboration so JUPYTER_SERV...

github.com

🧠 Context engineering > prompt engineering. We compare CodeMode vs no CodeMode with reproducible GitHub Actions workflows. Less context → fewer tokens → lower cost. 🎥 Demo: www.loom.com/share/1edbbe... Report deep dive next.

Datalayer ☰ AI Agents for Data Analysis - 17 July 2026

Use Loom to record quick videos of your screen and cam. Explain anything clearly and easily – and skip the meeting. An essential tool for hybrid workplaces.

loom.com

📚 New: Summarize 10 PDFs. Read up to 10 PDFs, extract key ideas, compare themes, and generate a concise summary. 🎥 Demo: www.loom.com/share/45b5ed... 🚀 datalayer.ai/gallery/agen...

Datalayer ☰ AI Agents for Data Analysis - 15 July 2026

Use Loom to record quick videos of your screen and cam. Explain anything clearly and easily – and skip the meeting. An essential tool for hybrid workplaces.

loom.com

📊 New in the Datalayer Agent Gallery: Replace Excel Pivot Work. Ask for the tables, groupings, filters, and charts you'd normally build by hand in Excel—and let the agent generate and export the results by executing Python. #AI #Agents #Excel #Python #Jupyter www.loom.com/share/184f13...

📊 First agent in the Datalayer Agent Gallery! We prepared the classic Titanic dataset as an Excel workbook and let the agent analyze it: answering questions, generating chart by executing Python. datalayer.ai/gallery/agen... #AI #Agents www.loom.com/share/60c6c4...

🚀 Jupyter MCP Server v1.0.3 is out! 🔒 Hardened management API: • localhost-only management routes • Reject non-local browser origins • MCP_TOKEN for state-changing routes ⏱️ execute_code now supports up to 1h timeouts. github.com/datalayer/ju... #MCP #Jupyter #AIAgents

🚀 Managed AI. 🔓 Without vendor lock-in. ✓ Your models. ✓ Your tools. ✓ Your workflows. That's Datalayer. #ManagedAgents #AI #OpenSource www.loom.com/share/45d1e0...

Datalayer ☰ AI Agents for Data Analysis - 7 July 2026

Use Loom to record quick videos of your screen and cam. Explain anything clearly and easily – and skip the meeting. An essential tool for hybrid workplaces.

loom.com

🔒 Your AI platform shouldn't own: ✓ Workflows ✓ Tools ✓ Integrations ✓ Business logic You should. #ManagedAgents #OpenSource #AI

🚀 Managed AI Agents are the future. 🔓 Vendor lock-in doesn't have to be. More this week. #ManagedAgents #AI #OpenSource

The #Jupyter Notebooks MCP Server by @datalayer.ai is a MCP server implementation designed to act as a bridge between Large Language Models, AI assistants and a user's live Jupyter environment.What does it enable? On IProgrammer: dub.sh/mNFIOeI

Big news: @pydantic.dev is donating the FastA2A repo to Datalayer. We'll take over maintenance and evolution of this MIT-licensed A2A framework, building on recent streaming collaboration. Focus: A2UI, Jupyter sandboxes, and agent-to-agent infra. 🚀 datalayer.ai/blog/2026/05...

☁️ Clouder is now open source! Create, manage & share Kubernetes clusters across clouds with a simple CLI & Python package. Includes Helm, autoscaling, backups, and even alpha features like container checkpoint (CRIU). Supports AWS, Azure & OVHcloud. 👉 clouder.sh

This example highlights the power of Agent Runtimes: a single agent can support multiple output formats seamlessly. From plain text and Markdown to structured JSON and UI-ready payloads, responses can adapt dynamically. ➡️ Build once, deploy everywhere. #AI #Agents #DeveloperTools

🛡️ AgentToolApprovalsExample: human-in-the-loop, in 4 lines. id: demo-tool-approvals tools: - runtime-echo:0.0.1 # auto - runtime-sensitive-echo:0.0.1 # manual approval One agentspec, two tools — runtime-echo ships, runtime-sensitive-echo waits for your 👍. #AIAgents #Datalayer

Should your AI agent need approval before running a skill—even for something as simple as telling a joke? What do you think? Personally, I believe it should be configurable 🙂

Jupyter MCP Server 1.0.2 is out! 🎉 Now supports the default Jupyter stack—no more pinning older collaboration versions. Use the version you want. 👉 github.com/datalayer/ju...

Within Carina Nebula's "Mystic Mountain," an unseen star is destroying light-year-long gas and dust pillars by ejecting energetic Herbig-Haro jets. These stellar nurseries will fully evaporate in a few million years. Credit: NASA/ APOD

#Agent Runtimes, by example. Explore UX, guardrails, tooling, collaboration & more—each as deep, pluggable building blocks. Try it, contribute, ⭐ your favorite: github.com/datalayer/agent-runtimes

Jupyter MCP Server 1.0.0 Reaches 1,000 GitHub ⭐ Right after the official 1.0.0 release, the Jupyter MCP Server repository crossed the 1K stars milestone. A huge thank you to the community building the future of notebook-native AI workflows. github.com/datalayer/ju...

LLM apps in prod need more than accuracy—they need cost visibility. Tokens drive spend, but most systems lack insight. Datalayer’s open-source agent-runtimes adds runtime-level tracking, OTEL pluggability & React charts—works with any LLM. PR: github.com/datalayer/ag...