L

Large Language Models

🔧🔗https://github.com/tensorzero/tensorzero TensorZero is an open-source stack for industrial-grade LLM applications. It unifies an LLM gateway, observability, optimization, evaluation, and experimentation

🔧🔗https://github.com/langfuse/langfuse-docs 🪢 Langfuse documentation -- Langfuse is the open source LLM Engineering Platform. Observability, evals, prompt management, playground and metrics to debug and

🔧🔗https://github.com/langfuse/langfuse 🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, L

🔧🔗https://github.com/BerriAI/litellm

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq] 🕸️🔗docs.litellm.ai/docs/

🔧🔗https://github.com/Skyvern-AI/skyvern

Automate browser-based workflows with LLMs and Computer Vision 🕸️🔗 www.skyvern.com/

🔧🔗https://github.com/mendableai/firecrawl 🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

🔧🔗https://github.com/dyad-sh/dyad Free, local, open-source AI app builder ✨ v0 / lovable / Bolt alternative 🌟 Star if you like it!

🔧🔗https://github.com/mem0ai/mem0 Memory for AI Agents; SOTA in AI Agent Memory; Announcing OpenMemory MCP - local and secure memory management.

🔧🔗https://github.com/All-Hands-AI/OpenHands

🙌 OpenHands: Code Less, Make More

🔧🔗https://github.com/bytedance/deer-flow DeerFlow is a community-driven framework for Deep Research, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure. burr.dagworks.io

OpenLIT is an open-source LLM Observability tool built on OpenTelemetry. 📈🔥 Monitor GPU performance, LLM traces with input and output metadata, and metrics like cost, tokens, and user interactions along with complete APM for LLM Apps. 🖥️

🔧🔗https://github.com/HKUDS/LightRAG

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

https://github.com/run-llama/LlamaIndexTS LlamaIndex is a data framework for your LLM applications

🔧🔗https://github.com/patchy631/ai-engineering-hub In-depth tutorials on LLMs, RAGs and real-world AI agent applications.

Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.

https://github.com/distantmagic/paddler Stateful load balancer custom-tailored for llama.cpp

🔧🔗https://github.com/mendableai/firecrawl-app-examples 🔥 This repository contains complete application examples, including websites and other projects, developed using Firecrawl.

🔧🔗GitHub

The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)

🔧🔗https://github.com/NativeMindBrowser/NativeMindExtension

NativeMind: Your fully private, open-source, on-device AI assistant