AI and Agents

An adaptive AI agent framework that grows with you.

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

Building applications with LLMs through composability.

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

Turn any folder of code, SQL schemas, docs, papers, images, or videos into a queryable knowledge graph.

A multi-agents LLM financial trading framework.

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

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

An intelligent memory layer for AI agents enabling personalized interactions.

A programming framework for building agentic AI applications.

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

Call 100+ LLMs using OpenAI format.

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

A data framework for your LLM application.

Low-level orchestration framework for building stateful, long-running LLM agents.

A framework for programming, not prompting, language models.

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

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.

A lightweight library to build agents and multi-agent workflows with minimal code.

OpenAI's framework for building and managing AI agents.

Industrial-grade speech recognition toolkit with 170x realtime speed, 50+ languages, speaker diarization, and emotion detection.

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

Structured text generation for LLMs with JSON schema, regex, and grammar-constrained decoding.

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

A multilingual speech understanding model for speech recognition, language identification, emotion recognition, and audio event detection.

A framework for real time interactive streaming digital human.

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.

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.

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

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

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.

An auditable context control plane that optimizes prompt context, stabilizes cache prefixes, and verifies answers locally with WITNESS.

An agent framework for conversational analysis of SQL, dataframe and multidimensional array data.

A universal LLM API client with a Rust core, calling 142+ providers through a single OpenAI-compatible interface, with a built-in proxy and MCP server.

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

Nuwa distills the thinking of anyone — let Musk, Naval, Munger, and Feynman work for you.