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A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).
Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA
Practical marketing resources to get the first 10 / 100 / 1000 users for your SaaS / App / Startup
Mobile and Web client for Codex and Claude Code, with realtime voice, encryption and fully featured
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
OpenAgents - AI Agent Networks for Open Collaboration
Open Source AI Platform - AI Chat with advanced features that works with every LLM
PipesHub is an open-source fully extensible AI context layer that unifies your business data for explainable enterprise search and agentic workflow automation.
MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）
🏆 Top-1 on 5+ benchmarks | Web UI | Supports MiroThinker, Claude, Kimi, OpenAI
🤗 smolagents: a barebones library for agents that think in code.
Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation…
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
Self-contained, minimalistic implementation of diffusion models with Pytorch.
The context API to search, scrape, and interact with the web at scale. 🔥
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper. Don't be shy, join here: https://discord.gg/jP8KfhDhyN
Stable Diffusion implemented from scratch in PyTorch
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
The official implementation of the paper "AgentSquare: Automatic LLM Agent Search in Modular Design Space""
Companion webpage to the book "Mathematics For Machine Learning"