Lists (6)
Stars
A framework for building native applications using React
Models and examples built with TensorFlow
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.
Run macOS VM in a Docker! Run near native OSX-KVM in Docker! X11 Forwarding! CI/CD for OS X Security Research! Docker mac Containers.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Penpot: The open-source design tool for design and code collaboration
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Build multi-agent systems that learn and improve with every interaction.
DSPy: The framework for programming—not prompting—language models
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Integrate cutting-edge LLM technology quickly and easily into your apps
Awesome-LLM: a curated list of Large Language Model
An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.
AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
A Claude Code plugin that automatically captures everything Claude does during your coding sessions, compresses it with AI (using Claude's agent-sdk), and injects relevant context back into future …
Distribute and run LLMs with a single file.
A fast, local first, reactive Database for JavaScript Applications https://rxdb.info/
Letta is the platform for building stateful agents: AI with advanced memory that can learn and self-improve over time.
Infinite Red's battle-tested React Native project boilerplate, along with a CLI, component/model generators, and more! 9 years of continuous development and counting.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation