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mcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
An orchestrated sub agent dev team powered by claude code
Samples using the Agent2Agent (A2A) Protocol
Official Python SDK for the Agent2Agent (A2A) Protocol
The official Python SDK for Model Context Protocol servers and clients
Allow AI to wade through complex OpenAPIs using Simple Language
A starting point/guide for creating custom statusline, statuscolumn, tabline & winbar for Neovim.
Run an LLM on iOS & Android devices using React Native
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
DeepSeek Coder: Let the Code Write Itself
Multimodal saree search app built using Amazon Titan Multimodal Embeddings model
Tuning and Evaluation of RAG pipeline. (Automated optimization to be added soon)
Graph Neural Network Library for PyTorch
A collection of examples that show how to use CrewAI framework to automate workflows.
Superduper: End-to-end framework for building custom AI applications and agents.
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
🦜🔗 The platform for reliable agents.