AI and Agents

A framework that lets you easily use pre-trained transformer models for NLP, vision, and audio tasks.

An adaptive AI agent framework that grows with you.

Building applications with LLMs through composability.

A general-purpose automatic speech recognition model trained on 680k hours of multilingual and multitask supervised data.

A high-throughput and memory-efficient inference and serving engine for LLMs.

A multi-agents LLM financial trading framework.

A library for faster LLM fine-tuning and training with reduced memory usage.

A programming framework for building agentic AI applications.

An intelligent memory layer for AI agents enabling personalized interactions.

A framework for orchestrating role-playing autonomous AI agents for collaborative task solving.

A data framework for your LLM application.

A family of open-source voice AI models from Microsoft for text-to-speech and long-form speech recognition.

A framework for programming, not prompting, language models.

A library that provides pre-trained diffusion models for generating and editing images, audio, and video.

A high-performance serving framework for large language models and multimodal models.

OpenAI's framework for building and managing AI agents.

A tokenizer-free text-to-speech foundation model for multilingual speech generation and voice cloning.

A Python agent framework for building generative AI applications with structured schemas.

A library for extracting structured data from LLMs, powered by Pydantic.

A framework that wraps any agent handler with DID-based cryptographic identity, A2A JSON-RPC over HTTP, OAuth2 auth, x402 (USDC) payments, and a built-in operator inbox.

Run and fine-tune large language models on Apple Silicon with MLX.

Python-friendly security skills for auditing, testing, and safer backend development. Also skills-curated.

An open-source AgentOS for multi-agent orchestration and building agentic AI systems.

Open-source, local-first memory for any tool-capable LLM agent.

A lightweight, hook-first Python framework for channel-native agents that live alongside people.

A framework for building end-to-end production-ready agentic systems, scalable & secure MCP's and autonomous agents.

Python-focused engineering skills for code review, debugging, and backend workflows.

A deterministic Python orchestrator for CLI coding agents (Claude Code, Codex, Gemini CLI, and 40+ more) with parallel git worktrees and an HMAC-signed audit chain.

Django backend agent skills for Django, DRF, Celery, and Django-specific code review.