Official TypeScript SDK for Computer Agents. Run agents, manage cloud computers and projects, and deploy web apps, functions, databases, auth, runtimes, and secrets.
Core implementation for computer-agents SDK. Build computer-use agents with seamless local and cloud execution.
OpenAI integration for computer-agents SDK. LLM agent runtime and OpenAI API support.
Let agents run disposable VMs
Run your Cumora agents on your own machine or VPS, powered by your local Claude Code or Codex CLI (BYOA).
Maps proxy protocols to `http.Agent` implementations
Let agents test your code in a real browser
Azure AI Projects client library.
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. This package contains the logic for building realtime voice agents on the server or in the browser.
E2B Desktop Sandbox - isolated cloud environment with a desktop-like interface powered by E2B. Ready for AI Computer Use
Promptbook: Create persistent AI agents that turn your company's scattered knowledge into action
LangGraph
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
LiveKit Agents - Node.js
AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model provider.
<div align="center"> <img width="200" height="200" src="https://s3.amazonaws.com/pix.iemoji.com/images/emoji/apple/ios-11/256/crayon.png"> <h1>@jimp/plugin-blit</h1> <p>Blit an image.</p> </div>
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
Turn a function into an `http.Agent` instance
AWS SDK for JavaScript Lambda Client for Node.js, Browser and React Native
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows.
A high-level API to automate web browsers
A high-level API to automate web browsers
The Gateway provider for the [AI SDK](https://ai-sdk.dev/docs) allows the use of a wide variety of AI models and providers.
A home for your AI agents
Gondor Libraray provides a framework to work with agent based computing, from game AIs, to swarm simulations.
Compute values asynchronously as seen with Clojure agents, but uses multi-processing instead of multi-threading.
Aho agent is responsible for collecting resource usage data of VM instances on \ individual Compute nodes within an Datamart Platform Studio deployment.
This gem provides a simple way to use Google's 'computer use' Gemini model within your Cucumber step definitions, allowing you to write high-level instructions for an AI agent to execute.
MongoAgent is a framework for creating distributed pipelines across many different servers. It is extensible, and flexible. It does not specify what goals should be processed. It simply provides the foundation for using a MongoDB as a messaging queue between many different agents processing tasks defined in the same queue. It is designed from the beginning to support the creation of simple human-computational workflows.
Give an AI agent a disposable computer: run shell commands, read/write files, expose ports. Pluggable backends (Docker today, E2B/Cloudflare later).
Baars' Global Workspace Theory for brain-modeled agentic AI — information competes for access to a limited-capacity workspace; winners are broadcast to all subscribed cognitive subsystems, implementing a computational model of conscious access and attentional bottleneck.
SpreadsheetAgent is a framework for creating distributed pipelines across many different servers. It is extensible, and flexible. It does not specify what goals any pipeline should be working towards, or which goals are prerequisites for other goals, but it does provide logic for easily defining these relationships based on your own needs. It does this by providing a subsumption architecture, whereby many small, highly focused agents are written to perform specific goals, and also know what prerequisites and resources they require to perform them. In addition, it is designed from the beginning to support the creation of simple human-computational workflows.
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