
Clusy | Agent-Native Notebook for ML and Data Science
Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter
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15 projects

Build and run ML workflows in an agent-native cloud notebook with evaluation tools.
eldar_hsnv · HN
Show HN: AI Notebook for Data Science – Kind of Like Cursor but for Jupyter

Build databases, kanban boards, and notes for AI agents to collaborate on.
@emir_ogz · X
Just shipped - AI-native workspace for solo devs Agent reads/writes your project notes automaticly

Translation management platform with agent-native workflows for multilingual apps.
@sacsandc4 · X

Add persistent user memory to your AI agents with a single SDK.
u/foric0 · Reddit
Built a memory layer so I stop re-explaining my project to every AI tool Every new Claude or Cursor session starts from zero. Same stack, same conventions, same things I already tried and dropped, explained again. Agent Magnet fixes that. Learns as you work, shares one memory across Claude, Cursor, and Codex. Team memory too, one person learns something, the rest of the team has it. Not the first tool trying to solve this, a few others take the retrieve-everything approach.

Spreadsheet tool where each column is an AI agent that automates research, extraction, and data processing.
u/Capital-Top3289 · Reddit
I built a spreadsheet where every column is an AI agent (research, scrape, or API) — looking for feedback I got tired of pasting the same 50 company names into ChatGPT one by one, then copying websites / CEOs / LinkedIn URLs back into Excel. So I built MySheets: it looks like a spreadsheet, but each column can be: an AI prompt that runs row by row a web scrape an HTTP API call Columns can read previous cells, so you chain: name → website → product summary → CEO → LinkedIn. You

Writing assistant that provides AI help while keeping your entire manuscript in context.
@a1siel · X

Digital asset management platform for organizing and sharing visual assets with AI agent integration.
@raster_app · X

Monitor, govern, and optimize your AI agents at scale.
@AiShivam · X
AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed

Markdown editor with live collaboration, inline comments, and MCP integration for AI agents.
rajivayyangar · HN
Skilldocs – Figma for Markdown

Create a shared knowledge base that all your AI agents can access and update.
dariusmonsef · HN
OzBrain, a shared brain for knowledge between agents and your team

Log and retrieve decisions with complete provenance for humans and AI agents.
@burn2delete · X

Platform for building and deploying AI agents with isolated execution and cost metering.
@okiktech · X