The AI that really does things. Any OS. Any Platform. The lobster way. 🦞
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The AI that really does things. Any OS. Any Platform. The lobster way. 🦞
🕷️ The BEST Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
Translated⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 Say goodbye to information overload, your AI public opinion monitoring assistant and trending topic filtering tool! Aggregates trending topics from multiple platforms + RSS subscriptions, and supports precise keyword filtering. AI smart news filtering + AI translation + AI analysis briefings pushed straight to your phone, and it can also connect to the MCP architecture, enabling AI natural language conversational analysis, sentiment insight, trend prediction, and more. Supports Docker, with data kept locally or in the cloud under your own control. Integrates smart push notifications through channels such as WeChat/Feishu/DingTalk/Telegram/email/ntfy/bark/slack.
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 250,000+ scientists worldwide. 177 ready-to-use validated skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
LlamaIndex is the document processing platform for AI
Local code intelligence for developers and AI agents. Connect code, docs and infrastructure in a persistent graph, with CBM Lens, MCP tools, agent integrations and change-aware test selection.
Translated微舆 (Weiyu, "micro public opinion"): a multi-Agent public opinion analysis assistant that anyone can use. It breaks information cocoons, restores the original picture of public opinion, predicts future trends, and assists decision-making! Implemented from scratch, without relying on any framework.
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
Scale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation.
An autonomous agent that conducts deep research on any data using any LLM providers
Universal SEO skill for Claude Code. 26 sub-skills + 19 sub-agents covering technical SEO, E-E-A-T, schema, GEO/AEO, agent readiness (Lighthouse Agentic Browsing, WebMCP, llms.txt), backlinks, local SEO, e-commerce, international SEO, Google APIs, and PDF/Excel reporting. 9 optional extensions for live SEO data.
The SDK to extract data and interact with any site on the web. Get started with Claude Code, Codex, Eve, Mastra, and more.
📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
TranslatedSelf-hosted TikTok, Douyin & Bilibili scraper and no-watermark video downloader — async REST API, MCP server for AI agents, CLI and web console, plus offline speech-to-text for downloaded videos. Self-healing identity pool, PostgreSQL archive, one docker compose up.
open-source agentic AI data assistant for the next generation of AI + Data products.
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
TranslatedDSHDesktop: DeepSeek Harness Desktop
MCP Toolbox for Databases is an open source MCP server for databases.
The Cloud Native AI Platform
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.