Datalayer

Managed AI Agents for Data Analysis

[Datalayer @DatalayerIO]

Big news: @pydantic 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. 🚀

https://t.co/PlIMoiZMQx

[Datalayer @DatalayerIO]

☁️ 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.

👉 https://t.co/R5RoZrQvmN

[Datalayer @DatalayerIO]

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

[Datalayer @DatalayerIO]

🛡️ AgentToolApprovalsExample: human-in-the-loop, in 4 lines.

id: 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

[Eric Charles @echarles]

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 🙂

[Datalayer @DatalayerIO]

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.

👉 https://t.co/SesMiGagtg

[Datalayer @DatalayerIO]

Agent runtimes, by example.
Explore UX, guardrails, tooling, collaboration & more—each as deep, pluggable building blocks.

Try it, contribute, ⭐ your favorite:
https://t.co/LcsXJZbl21

[Datalayer @DatalayerIO]

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.

https://t.co/SesMiGagtg

[Datalayer @DatalayerIO]

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: https://t.co/QZG6X2v9fB

[Datalayer @DatalayerIO]

📄🌍 Published in #IEEE GRS Magazine (2026): “Artificial Intelligence for Earthquake Response.”

Datalayer ranked 2nd overall 🥈 in ESA + International Charter challenge.

Paper: https://t.co/U93l5QvmnX
DOI: https://t.co/SfbS38Rozv

[Datalayer @DatalayerIO]

We just opened a Discord for builders working with Datalayer AI Agents 🧠⚡

No marketing fluff—just real workflows, early features, and direct access to our team.

If you’re building or exploring, come join us 👇
https://t.co/DXyX7mWwyt

[Datalayer @DatalayerIO]

🚀 Jupyter MCP Server v0.23.0 is out!

Better notebook interactions, improved tool consistency, and more reliable execution ⚡

Thanks to all contributors 🙌
🔗 https://t.co/h8vyN7HorY
#Jupyter #AI #MCP

[Datalayer @DatalayerIO]

Datalayer is writing a paper on cost-effective LLM agents (70–92% token reduction via codemode).

Seeking co-authors with real-world agent https://t.co/YvdMCZDx3O & apply → https://t.co/Iy93Oxhiaz

#LLMAgents #AIEngineering #OpenScience

[Eric Charles @echarles]

Our new Datalayer variant is built for AI Agent workloads—cutting data costs by up to 90% without sacrificing performance.

Scale smarter, faster, and cheaper! 💡

🔗 https://t.co/ZIQw7vAUHk

#AI #DataInnovation #AIAgents #CostEfficiency

[Datalayer @DatalayerIO]

⚙️ Want to run Python notebooks instantly? With Datalayer VS Code Extension, you can use a Pyodide-powered browser kernel — no Python install, no Conda, no setup.

Open a notebook and start experimenting ✨

Read more 👉 https://t.co/bUXKYKcIGX

#VSCode #Python #Jupyter #Pyodide

[Datalayer @DatalayerIO]

6/6 😴 SLEEP AT NIGHT

Production AI is scary. What if it fails?

Agent Runtimes handles it:
• Automatic retries when tools fail
• Health monitoring you can query
• Graceful degradation

⭐ https://t.co/UI8Mr5JFQi
📝 https://t.co/dQUSh33LQz

[Datalayer @DatalayerIO]

🧵 1/6 What if your AI agent could actually DO things?

Not just chat. Actually search the web, access databases, read LinkedIn profiles, execute code.

That's what we built. Here's what you can do with Agent Runtimes 👇

[Datalayer @DatalayerIO]

5/6 🔄 FREEDOM TO CHOOSE

Locked into one AI provider? Not anymore.

Switch between OpenAI, Anthropic, Azure, or Bedrock without changing your code. Pick the best model for each task.

Your agents. Your choice.