L

Large Language Models

https://github.com/THUDM/LongWriter LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs

🔧🔗https://github.com/utensils/yeet

A lazy developer's git tool for generating BRUTALLY RUDE commit messages with AI and automatically pushing changes. Uses Ollama to create technically accurate but hilariously offensive commit messages that follow conventional commit format.

🔧🔗https://github.com/invariantlabs-ai/mcp-streamable-http

Example implementation of MCP Streamable HTTP client/server in Python and TypeScript.

🔧🔗https://github.com/harishsg993010/PentestAgent

A sophisticated AWS security assessment tool that leverages CrewAI to orchestrate automated penetration testing across multiple AWS services. This tool employs specialized AI agents to conduct thorough security analyses while maintaining compliance with AWS testing guidelines.

🔧🔗https://github.com/harishsg993010/ShopSurfer

ShopSurfer is an autonoumous AI agent to research and find best deals with high quality product experience

🔧🔗https://github.com/harishsg993010/SplunkGPT An Generative AI model to generate Splunk Query from plaintext

🔧🔗https://github.com/harishsg993010/neural-state-manipulator A tool for manipulating the internal neural activations of language models

https://github.com/InternLM/OpenAOE LLM Group Chat Framework: chat with multiple LLMs at the same time. 大模型群聊框架：同时与多个大语言模型聊天。

🔧🔗https://github.com/jennyzzt/LLM_debate_on_ARC

LLM Debate on ARC dataset

https://github.com/lm-sys/FastChat An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Resources

https://github.com/InternLM/InternLM-XComposer InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

🔧🔗https://github.com/dzhng/deep-seek LLM powered retrieval engine designed to process a ton of sources to collect a comprehensive list of entities.

🔧🔗https://github.com/Gurubase/gurubase Gurubase lets you add an "Ask AI" button to your technical docs, turning your content into an AI assistant. It uses web pages, PDFs, YouTube videos, and GitHub repos as sources to generate instant, accurate answers with references. Deploy it via Slack, Discord, GitHub or a web widget.

https://github.com/ComposioHQ/composio Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴 https://github.com/decodingml/llm-twin-course

🔧🔗https://github.com/HKUDS/GraphAgent

"GraphAgent: Agentic Graph Language Assistant"

https://github.com/AI-Engineer-Foundation/agent-protocol Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.

🔧🔗https://github.com/aws-samples/Reducing-Hallucinations-in-LLM-Agents-with-a-Verified-Semantic-Cache

This repository contains sample code demonstrating how to implement a verified semantic cache using Amazon Bedrock Knowledge Bases to prevent hallucinations in Large Language Model (LLM) responses while improving latency and reducing costs.

🔧🔗https://github.com/getzep/zepcli

zepcli - a command line tool for managing the Zep service.

🔧🔗https://github.com/om-ai-lab/OmAgent Build multimodal language agents for fast prototype and production