llm

One TypeScript interface for 24+ LLM providers — swap providers without rewriting. MCP-native (connect any MCP server), voice (TTS/STT/realtime), RAG, memory, file processors. Production-origin: powers Tara, Yama, and Clairvoyance at Juspay.

大师.skill — 输入行业，自动调研 6 轨[行业大佬 / 工具地图 / 工作流 / 知识正典 / 信息源 / 术语标准] → 提炼为可运行的行业 Master OS skill；装到任意 Claude Code / OpenClaw / Codex / Hermes agent 即让其进入「这一行的资深人」模式。MIT，Python + Shell。

An assistant for Slack built with Arcade and Langgraph. Interact with Google Calendar, Mail, Github, Search Engines, Firecrawl and more all from within Slack

Modular GraphRAG framework

DocumentGPT is a web application that allows you to chat over your research document using OpenAI's chat API and perform semantic search using vector databases. This tool provides a seamless interface for interacting with your research document, exploring search results, and engaging in a conversation with an AI chatbot.

📓 A collection of generative AI open-source repositories that are actively being developed. If you are looking to build a solid profile and land interview, find the repo you like and start shipping.

Python version of 📦 repopack (https://github.com/yamadashy/repopack) by yamadashy (https://github.com/yamadashy)

The better way to build AI agents in TypeScript.

An Execution Isolation Architecture for LLM-Based Agentic Systems

AI Mock Interviewer

[EMNLP 2024] LongRAG: A Dual-perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering

Find out what your coding agents already know. Docmancer indexes the memory, rules, and instructions Claude Code, Codex, Cursor, and Gemini wrote on your machine, then carries the durable parts to every agent. It is local-first and under MIT license.

MVP of an idea using multiple local LLM models to simulate and play D&D

Large language model fine-tuned to mimic LIHKG users' behavior

Various projects using Large Language Model (GPT & LLAMA) other open source model from HuggingFace and OpenAI. OpenAI API required for running various model

Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically

Collection of resources for finetuning Large Language Models (LLMs).

Run LLMs locally with as little friction as possible.

Easy fine-tuning for Qwen3-TTS: Fast voice cloning and high-quality multilingual speech synthesis.

Rails Engine with MCP compliant Spec.