Disrupt or die @DatalayerIO

In the cloud
Joined September 2008
Eric Charles retweeted
An AI agent shouldn't be twelve YAML keys you hold in your head. Our visual editor draws it: the agent in the middle, its model, MCP servers, rules, skills around it. Canvas, spec and Python are one definition. Try it, no sign-in → datalayer.ai #AIAgents #MCP
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Eric Charles retweeted
📐 Agent specs are getting nicer: Oracle's Open Agent Spec, Pydantic AI, runtime-enforced AgentSpec. Datalayer Agentspecs now makes protocols specs too: MCP, A2A, PAP, PACT… declared per agent, checked, compiled to Python + TypeScript 🧩 github.com/datalayer/agentsp… #AIAgents
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Eric Charles retweeted
🎉 Personal Agent Protocol 0.11.0: the first complete Python 🐍 + TypeScript 🟦 SDKs, both roles, an example for every feature 🧭 personal-agent-protocol.data… Now integrating it in Datalayer 🚀 personal-agent-protocol.data…
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Eric Charles retweeted
🎉 Datalayer's Poppy SDKs (Python 🐍 + TypeScript 🟦) are listed on poppy.md! 📚 Must-read: Poppy vs MCP, A2A, UCP, ACP, TAP, PACT. Poppy answers the consent question 🔐 Kudos Fabricio Telles 👏 poppy.md/compare
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Eric Charles retweeted
🪐 🔧 Jupyter MCP Server 2.2.4 ships even more fixes and documentation for users. The release notes are available on lnkd.in/ewgSbUNw Community support stays strong 💪, with 2 new contributors ˚˖𓍢ִ໋🍃✧˚.💚⋆
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Eric Charles retweeted
🚀 PAP SDK v0.3.2 is live for Python + TypeScript! PAP is an open protocol for every company and every personal agent. We ❤️ protocols and want to build with the community. 🌸 personalagentprotocol.org/\ ✨ Listed on github.com/JaviChulvi/awesom… #poppy
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Eric Charles retweeted
On Tuesday, Sierra announced Personal Agent Protocol with Meta, Genesys, Instinct, Rocket, Shopify, Stripe, and Walmart. The response has been incredible and today we’re publishing the first draft of the protocol at personalagentprotocol.org and announcing 35 new design partners. As personal agents take on more, our goal is simple: consumers have choice and control, and companies know when they’re dealing with an agent and who it represents. This draft is a starting point. We’d love for companies, developers, and personal agent builders to read it, give feedback, and help us build an open standard together.
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Connect with me for feedback on this announce. MCP is the enabler, we are now providing way more features for your AI data-driven cases. #Expand #Growth #Data #AI
1/3 🚪 The hosted Jupyter MCP Server is the door, not the house. Behind it: 🤖 Agent Workers, 📝 Loop, 📊 Evals & Benchmarks — and, today, 🌊 Marimo cells for your agent. datalayer.ai/features #MCP #Jupyter #AIAgents
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One more time, amazingly powered by the community. Plenty of great contributions here 💪⚡💚
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Eric Charles retweeted
✨ An agent that answers with an interface, not a wall of text. 📅 A form that sends your input back to the agent; 📊 Jupyter output as an A2UI surface, buttons that send your click to the code. 🎬 90 s, 🔓 open source → github.com/datalayer/agent-r… #A2UI #Jupyter
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Eric Charles retweeted
Jupyter MCP Server 2.2 can now be extended the way your editor is: • extensions add tools — install one and its tools are served • extensions extend tools — wrap, narrow or re-describe a tool another extension offers, by name No fork. No load-order race. 🧵
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Sunday morning exercise with Claude Code launching Subagents to reformat docs. Nice view of the hierarchy and details of each Subagent system prompt.
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Eric Charles retweeted
🛑 𝙎𝙩𝙤𝙥 𝙥𝙖𝙨𝙨𝙞𝙣𝙜 𝙅𝙪𝙥𝙮𝙩𝙚𝙧 𝙣𝙤𝙩𝙚𝙗𝙤𝙤𝙠𝙨 𝙖𝙧𝙤𝙪𝙣𝙙. Handoffs lose state, files, outputs and context. 🪐 Datalayer gives teams and AI agents one live Jupyter notebook. Same cells. Same state. Same results. datalayer.ai #Jupyter #Collaboration
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Eric Charles retweeted
🚀 𝗝𝘂𝗽𝘆𝘁𝗲𝗿 𝗳𝗼𝗿 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 Our new Datalayer homepage is live. Give your agent persistent notebooks, scalable compute & connected data—or try an Agent built for Jupyter directly. The work keeps running when you disconnect. 👉 datalayer.ai
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🧩 I was missing a plugin framework spanning Python + React, so I built one. Reactor is now OSS: github.com/datalayer/reactor Extension points, dependencies, Python packaging + React plugins via Module Federation. Feedback welcome 👀
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Version 2 lays the foundation for 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗴𝗿𝗮𝗱𝗲 Jupyter MCP.
🚀 Jupyter MCP Server 2 is here. Now on MCP Python SDK 2. No breaking change for users. What it unlocks: ⚡ stateless scale 🔐 stronger auth 🔄 richer agent flows 🧩 async + long-running tasks 𝗝𝘂𝗽𝘆𝘁𝗲𝗿 + 𝗠𝗖𝗣 𝗶𝘀 𝗷𝘂𝘀𝘁 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝘀𝘁𝗮𝗿𝘁𝗲𝗱.
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Eric Charles retweeted
🚀 𝗧𝗵𝗲 𝗵𝗼𝘀𝘁𝗲𝗱 𝗝𝘂𝗽𝘆𝘁𝗲𝗿 𝗠𝗖𝗣 𝗦𝗲𝗿𝘃𝗲𝗿 𝗶𝘀 𝗹𝗶𝘃𝗲. 🔌 One MCP endpoint gives your AI agent: 📓 Persistent notebooks ⏳ Durable execution ⚡ CPU/GPU compute 🗄️ Direct data access 🤝 Human + agent collaboration 👉 datalayer.ai/docs/mcp
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Eric Charles retweeted
⚡ 𝗝𝘂𝗽𝘆𝘁𝗲𝗿 𝗠𝗖𝗣 𝗦𝗲𝗿𝘃𝗲𝗿 — 𝗛𝗼𝘁 𝗙𝗶𝘅 `code-sandboxes` renamed: 🔄 `jupyter` → `jupyter-server` Use: ✅ `jupyter-mcp-server >=1.5.0` → `code-sandboxes >=1.1.1` ⏪ Older server → `code-sandboxes <=1.0.9` jupyter-mcp-server.datalayer…
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