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macOS & Linux Containers for Computer-Use AI Agents on Apple Silicon.
Run Docker Containers for Computer-Use AI Agents on Apple Silicon.
TL;DR: c/ua (pronounced "koo-ah", short for Computer-Use Agent) is a framework that enables AI agents to control full operating systems within high-performance, lightweight virtual containers. It delivers up to 97% native speed on Apple Silicon and works with any vision language models.
Moose lets you develop analytical backends in pure TypeScript or Python code.
The developer framework for your data & analytics stack.
Moose is an open source developer framework for building analytical backends. Moose is designed to help you quickly prototype, productionize, and scale data products, data pipelines, and data APIs - on OLAP and streaming infrastructure - using native TypeScript or Python.
AMP is a web component framework to easily create user-first experiences for the web.
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A 100-line minimalist LLM framework for Agents, Task Decomposition, RAG, etc.
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🎭 Stateful Serverless That Runs Anywhere. The easiest way to build stateful, AI agent, collaborative, or local-first applications. Deploy to Rivet, Cloudflare, Bun, Node.js, and more.
ActorCore is a framework for building stateful, scalable, realtime backend applications. Whether you’re building multiplayer games, collaborative apps, AI agent backends, or any stateful service, ActorCore provides the tools and patterns to simplify your architecture.
Magical Data Engineering Workflows.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Mage is a hybrid framework for transforming and integrating data. It combines the best of both worlds: the flexibility of notebooks with the rigor of modular code.
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The hypermedia framework.
Datastar helps you build reactive web applications with the simplicity of server-side rendering and the power of a full-stack SPA framework.
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Fast and low overhead web framework, for Node.js.
Fastify is a web framework highly focused on providing the best developer experience with the least overhead and a powerful plugin architecture. It is inspired by Hapi and Express and as far as we know, it is one of the fastest web frameworks in town.
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A thoughtfully designed reactive programming framework in Swift.
Pledge is a lightweight, thread-safe reactive programming framework for Swift that simplifies state management, event propagation and balances power with simplicity in your applications. While other frameworks force you to learn complex concepts and operators, Pledge focuses on solving the real problems developers face daily:
The first and the best multi-agent framework. Finding the Scaling Law of Agents
Building Multi-Agent Systems for Task Automation.
🐫 CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.
CAMEL emerges as the earliest LLM-based multi-agent framework, and is now a generic framework to build and use LLM-based agents for real-world task solving. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.
A framework for securing software update systems.
The Update Framework (TUF) maintains the security of software update systems, providing protection even against attackers that compromise the repository or signing keys. TUF provides a flexible framework and specification that developers can adopt into any software update system.
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A framework to secure the integrity of software supply chains.
in-toto is designed to ensure the integrity of a software product from initiation to end-user installation. It does so by making it transparent to the user what steps were performed, by whom and in what order.
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An opinionated GoLang framework for accelerated microservice development. Built in support for databases and observability.
beego is an open-source, high-performance web framework for the Go programming language.
Beego is used for rapid development of enterprise application in Go, including RESTful APIs, web apps and backend services.
It is inspired by Tornado, Sinatra and Flask. beego has some Go-specific features such as interfaces and struct embedding.
ML Pipelines From Another Planet.Build out-of-this-world ML pipelines.
Run-anywhere computational framework for Python that simplifies and accelerates ML workflows and development.
xorq is a deferred computational framework for building, running, and serving pandas groupby-apply style pipelines common in ML workflows. xorq is built on top of Ibis and Apache DataFusion.
A Friendly Federated AI Framework.
A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language.
Evolving agents is a production-grade environment for orchestrating, evolving, and managing AI agents.
A production-grade framework for creating, managing, and evolving AI agents with intelligent agent-to-agent communication. The framework enables you to build collaborative agent ecosystems that can semantically understand requirements, evolve based on past experiences, and communicate effectively to solve complex tasks.
The Platform for Building Stateful Agents.
Build agents with infinite context and human-like memory, that can learn from data and improve with experience.
Letta (formerly MemGPT) is a framework for creating LLM services with memory.
👾 Letta is an open source framework for building stateful LLM applications. You can use Letta to build stateful agents with advanced reasoning capabilities and transparent long-term memory. The Letta framework is white box and model-agnostic.
Finding the Scaling Laws of Agents. The first and the best multi-agent framework.
🐫 CAMEL is an open-source community dedicated to finding the scaling laws of agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.
The framework enables multi-agent systems to continuously evolve by generating data and interacting with environments. This evolution can be driven by reinforcement learning with verifiable rewards or supervised learning.
Torii is a powerful authentication framework for Rust applications that gives you complete control over your users' data.
Torii is a powerful authentication framework for Rust applications that gives you complete control over your users' data. Unlike hosted solutions like Auth0, Clerk, or WorkOS that store user information in their cloud, Torii lets you own and manage your authentication stack while providing modern auth features through a flexible plugin system.