Stars
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthr…
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Generative Agents: Interactive Simulacra of Human Behavior
godzilla.dev is an open-source C++/Python infrastructure for self-hosted crypto funding rate arbitrage and market making, with ultra low-latency and enterprise private deployment
A collection of scripts and notebooks to help you get started quickly.
Kilo is the all-in-one agentic engineering platform. Build, ship, and iterate faster with the most popular open source coding agent.
Trae Agent is an LLM-based agent for general purpose software engineering tasks.
Download all companies periodic reports, filings and forms from EDGAR database.
A collection of AI Agents papers (Updated biweekly)
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Integrate cutting-edge LLM technology quickly and easily into your apps
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
TradingAgents: Multi-Agents LLM Financial Trading Framework
基于多智能体LLM的中文金融交易框架 - TradingAgents中文增强版
AI-App / OpenDevin.OpenDevin
Forked from OpenHands/OpenHands🐚 OpenDevin: Code Less, Make More
Let LLMs interface with your tasks and projects through the Model Context Protocol. Add, organize, and query your OmniFocus database with natural language commands.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Download market data from Yahoo! Finance's API
LLM Frontend for Power Users.
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730