Disrupt or die @DatalayerIO
Joined September 2008
- Tweets 3,214
- Following 584
- Followers 434
- Likes 360
209 Photos and videos
May 8
May 8
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. 🚀
datalayer.ai/blog/2026/05/08…
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Eric Charles retweeted
May 4
☁️ 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
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Eric Charles retweeted
Apr 29
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
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Eric Charles retweeted
Apr 28
🛡️ 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
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Apr 27
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 🙂
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Eric Charles retweeted
Apr 27
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/jupyter…
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Apr 15
Let's connect on the GitHub if you are a AI engineer or developer, or on datalayer.ai if you are a user looking for managed #AIAgents ready to be used.
Apr 15
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-r…
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Apr 15
Thank you to all the amazing contributors and users for making this opensource project a success 🙏
Apr 15
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/jupyter…
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Eric Charles retweeted
Apr 14
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/agent-r…
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Eric Charles retweeted
Apr 13
📄🌍 Published in #IEEE GRS Magazine (2026): “Artificial Intelligence for Earthquake Response.”
Datalayer ranked 2nd overall 🥈 in ESA International Charter challenge.
Paper: ieeexplore.ieee.org/document…
DOI: doi.org/10.1109/MGRS.2026.36…
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Eric Charles retweeted
Apr 2
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 👇
discord.gg/YQFwvmSSuR
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Eric Charles retweeted
Apr 1
🚀 Jupyter MCP Server v0.23.0 is out!
Better notebook interactions, improved tool consistency, and more reliable execution ⚡
Thanks to all contributors 🙌
🔗 github.com/datalayer/jupyter…
#Jupyter #AI #MCP
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Eric Charles retweeted
Mar 3
Datalayer is writing a paper on cost-effective LLM agents (70–92% token reduction via codemode).
Seeking co-authors with real-world agent data.Read & apply → datalayer.ai/research/contex…
#LLMAgents #AIEngineering #OpenScience
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Feb 19
Going live in 30 minutes! 🚀
Join my online talk on Reducing LLM Costs Through Programmatic Tooling.
Save your spot: openteams.com/event/reducing…
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Feb 16
🚀 Cut your LLM costs by up to 90%!
Join me tomorrow for a practical deep dive on programmatic tools that make AI faster, smarter, and cheaper.
Hosted by @openteamsinc . Don’t miss out!
🔗 Register here openteams.com/event/reducing…
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Feb 13
#AgentBeats Phase 1 (Green Agents) judging is almost done.
A competition focused on standardized, reproducible AI agent evaluation.
Winners announced early next week — hoping to make the run into Phase 2 🤞
Organized by @BerkeleyRDI
rdi.berkeley.edu/agentx-agen…
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Feb 6
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! 💡
🔗 datalayer.ai
#AI #DataInnovation #AIAgents #CostEfficiency
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Eric Charles retweeted
Jan 16
⚙️ 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 👉 medium.com/datalayer/stop-in…
#VSCode #Python #Jupyter #Pyodide
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