Open-source framework lets anyone build AI news curation sites
AIHOT, a framework for automatically finding, curating and summarizing AI industry news, has been open-sourced on GitHub. The project includes the complete backend, website code, content selection algorithms, and all prompt templates used to filter and rank news from multiple sources. The creator released it so others in different industries could adapt the same approach for their own domains, using their own information sources and editorial standards. The framework supports multiple source types including RSS feeds, web scrapers, and social media accounts, uses vector clustering to group related stories from different outlets, and publishes daily digests ranked by how many independent sources cover each topic. Users can customize the curation criteria, selection thresholds, and run it locally with Docker and an OpenAI-compatible API key.
Univer Open-Source Office SDK Gains Traction as AI Agent Platform
Univer, an open-source SDK for building embedded office applications, has reached 22,204 GitHub stars with 6,091 added in the recent period. The platform enables developers to embed spreadsheets, documents, and presentations into their own products while supporting collaboration between humans and AI agents. Unlike traditional office viewers, Univer functions as a full framework with a plugin architecture, Canvas-based rendering, and a formula engine that works in both browsers and Node.js. The project is gaining adoption through implementations like Univer Workspace, a self-hostable collaborative environment where AI agents can generate spreadsheet-based applications such as dashboards and interactive reports.
Comprehensive AI Engineering Curriculum Launches with 523 Lessons
A new open-source curriculum called AI Engineering from Scratch has been released on GitHub, offering 523 lessons across 20 phases covering approximately 342 hours of content in Python, TypeScript, Rust, and Julia. The project addresses a significant gap in AI education, noting that while 84% of students use AI tools, only 18% feel professionally prepared to use them. Each lesson includes a reusable artifact such as a prompt, skill, agent, or MCP server, with the entire curriculum available free under the MIT license. The platform has already attracted significant attention with over 114,000 readers and tailored learning paths for different goals, from LLM engineering to agent development and model context protocol implementation.
Paperclip Launches Open-Source Platform for Managing Teams of AI Agents
Paperclip, a new open-source project, provides a Node.js server and React UI for orchestrating multiple AI agents to work together on business tasks. The platform allows users to define organizational goals, assemble teams of agents from different providers like Claude, Codex, and Gemini, and monitor their work from a single dashboard. Key features include task management, org charts with role-based permissions, agent training and evaluation tools, and cost tracking across different models. Paperclip aims to solve the coordination problem as AI agent use expands, offering governance, budgets, and audit trails alongside autonomous 24/7 agent operation.
Hindsight Agent Memory System Achieves State-of-the-Art Performance
Vectorize IO has released Hindsight, an open-source agent memory system designed to help AI agents learn over time rather than simply recall conversation history. According to benchmarks on the LongMemEval test, Hindsight achieves state-of-the-art performance compared to alternative approaches like RAG and knowledge graphs, with results independently verified by researchers at Virginia Tech and The Washington Post. The system supports 25+ LLM providers and is available through Docker, with client libraries for Python and JavaScript. Hindsight is already in production use at Fortune 500 companies and AI startups, addressing a key limitation in how agents retain and leverage information across extended interactions.