27 harnesses
Run large language models locally with a one-line install and a simple CLI.
Microsoft's Python utility for converting documents (PDF, DOCX, PPTX, etc.) into Markdown for LLMs.
Make websites accessible to AI agents — the easiest way to give LLMs browser superpowers.
The foundational framework for building applications powered by LLMs with chains, agents, and tools.
Cross-browser end-to-end testing and automation framework from Microsoft.
Open-source LLM-friendly web crawler and scraper optimized for RAG.
VS Code-integrated autonomous coding agent that controls files, terminal, and browser.
Multi-agent conversation framework from Microsoft for solving complex tasks with collaborating AIs.
Framework for orchestrating role-based AI agent crews that collaborate on tasks.
Terminal-based AI pair programmer with native Git integration and automatic commits.
Lightweight, opinionated framework for building production-ready AI agents and assistants.
Data framework for building RAG and agentic applications over private data.
High-throughput, memory-efficient inference and serving engine for LLMs.
Open-source AI code assistant for VS Code and JetBrains with custom model and tool support.
Microsoft's SDK for integrating LLMs into apps with planners, skills, and memory.
Tiny, opinionated agent framework from Hugging Face — agents that write code as actions.
OpenAI's official Python SDK for building production multi-agent workflows.
Open-source framework for building production-grade LLM applications and RAG pipelines.
Memory layer for AI agents — adds long-term, personalized memory to LLM applications.
Google's Agent Development Kit (ADK) for building enterprise-grade AI agents in Python.
Autonomous AI software engineering agent that resolves GitHub issues end-to-end.
Agent framework from the Pydantic team — type-safe, ergonomic LLM development.
Open-source AI-native vector database designed for embedding-based retrieval.
Autonomous research agent that generates in-depth reports with citations from the open web.