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🌐 Make websites accessible for AI agents. Automate tasks online with ease.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Collection of Summer 2026 tech internships!
A modular graph-based Retrieval-Augmented Generation (RAG) system
A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic
🚀 The fast, Pythonic way to build MCP servers and clients
Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.
A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations
Hierarchical Reasoning Model Official Release
The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
The Unofficial TikTok API Wrapper In Python
PraisonAI is a production-ready Multi AI Agents framework, designed to create AI Agents to automate and solve problems ranging from simple tasks to complex challenges. It provides a low-code soluti…
⚙️ Create and run workflows (RPA 2.0)
The All in One Framework to Build Undefeatable Scrapers
Our library for RL environments + evals
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
Post-training with Tinker
The way we interact with our data is changing.
A curated collection of comprehensive Fetch.ai Innovation Lab examples, showcasing advanced use cases and detailed implementations beyond the main documentation.
A fork of Anthropic Computer Use that you can run on Mac computers to give Claude and other AI models autonomous access to your computer.
This MCP server allows Claude and other AI assistants to access your LinkedIn. Scrape LinkedIn profiles, companies and jobs, and perform job searches.
Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.
Tool for data extraction and interacting with Lean programmatically.
[COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Monte Carlo simulation of the NBA season, leveraging dbt, duckdb and evidence.dev