Open Source JavaScript AI Agents
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JavaScript AI Agents
View 1064 business solutionsBrowse free open source JavaScript AI Agents and projects below. Use the toggles on the left to filter open source JavaScript AI Agents by OS, license, language, programming language, and project status.
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Lemo-Opuscar
Claude Code skill for short films with no video model
Lemo-Opuscar is an open-source Claude Code skill for creating animated short films entirely through programming rather than generative video models. It provides 51 cinematic and artistic styles, each accompanied by a reusable prompt, demonstration film, and production guidance. Users can describe a story, choose a visual style, and have an AI coding agent develop the complete film. The system renders animation frame by frame using Canvas, WebGL, and other code-driven techniques. It also supports original music, text-to-speech narration, scene composition, and audio mixing. Built-in directing guidelines help coordinate storytelling, camera movement, pacing, and visual consistency. Users can customize existing styles, preview storyboards, and export finished videos through FFmpeg. -
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AnythingLLM
The all-in-one Desktop & Docker AI application with full RAG and AI
A full-stack application that enables you to turn any document, resource, or piece of content into a context that any LLM can use as references during chatting. This application allows you to pick and choose which LLM or Vector Database you want to use as well as supporting multi-user management and permissions. AnythingLLM is a full-stack application where you can use commercial off-the-shelf LLMs or popular open-source LLMs and vectorDB solutions to build a private ChatGPT with no compromises that you can run locally as well as host remotely and be able to chat intelligently with any documents you provide it. AnythingLLM divides your documents into objects called workspaces. A Workspace functions a lot like a thread, but with the addition of containerization of your documents. Workspaces can share documents, but they do not talk to each other so you can keep your context for each workspace clean. -
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Open Claude Cowork
Open Source version of Claude Cowork built with Claude Code
Open Claude Cowork is an open source desktop chat application that brings the power of autonomous, agent-style AI workflows to your local machine by combining the Claude Agent SDK with the Composio Tool Router, enabling developers and power users to build intelligent assistants that can interact with a vast array of external tools and services. It offers a native Electron-based interface for macOS, Windows, and Linux that feels familiar and modern, supporting persistent, multi-session conversations that maintain context across multiple turns and workflows while you focus on higher-level goals rather than low-level prompts. With support for over 500 integrated tools—including Gmail, Slack, GitHub, Google Drive, and more via the Composio Tool Router—Open Claude Cowork lets agents execute complex tasks that span multiple platforms and APIs, effectively acting as a cross-service productivity layer. -
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ego (lite)
The fastest browser for AI agents to run web automation
Ego Lite is a macOS browser designed for people and external AI agents to work in parallel. Each agent receives an isolated Space, allowing several browser tasks to run simultaneously without taking over the user's active tabs. Optional Chrome data migration carries over logins, cookies, extensions, and bookmarks so agents can use authenticated sessions with less setup. The ego-browser skill connects tools such as Codex, Claude Code, Cursor, and custom agent CLIs to the browser. Agents interact through JavaScript tools for navigation, snapshots, form entry, clicks, waiting, and captures. Browser data remains on the device, and users can observe, stop, or take control of an agent's Space. Windows and Linux versions are listed as future work rather than currently supported releases. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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DS Bot
A team of long-lived bots for DeepSeek Harness, with main bots & more
DS Bot is a free, open-source, multi-agent AI assistant platform that enables users to create, manage, and collaborate with persistent AI bots powered by DeepSeek Harness. The application allows users to build personalized AI assistants with individual memories, configurable language models, dedicated capabilities, and permissions for performing different tasks. DS Bot includes a main supervisory bot that manages other agents, coordinates group conversations, delegates assignments, and oversees complex workflows involving multiple AI assistants. Users can connect their bots to services such as GitHub, Gmail, Slack, Telegram, Discord, and other messaging platforms while extending functionality through Model Context Protocol (MCP) servers and reusable skills. The platform supports computer automation, local coding agents, document creation, scheduled workflows through connected tools, and collaborative task execution with human approval controls. -
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Agent Skills
Skills for AI coding agents
Agent Skills by Vercel Labs is a curated collection of modular “skills” designed to extend the capabilities of AI coding agents by packaging human-ready instructions, workflows, and optional scripts that tell an agent how to perform specific development tasks. In this repository, each skill adheres to the Agent Skills specification, meaning they’re defined as folders with a SKILL.md file (containing task descriptions and step-by-step guidance) and can include helper scripts and reference material that the agent can execute or consult when invoked. The goal of the project is to make it easy for AI assistants like Claude Code, OpenCode, Cursor, Codex, and others that support this open ecosystem to automatically apply best practices or perform concrete actions when a relevant user intent is detected. For example, some skills guide the agent in applying React and Next.js performance best practices, auditing UI and accessibility standards. -
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ECC
The agent harness performance optimization system
ECC is an agent harness performance optimization system for AI coding tools such as Claude Code, Codex, Opencode, and similar environments. It packages rules, skills, instincts, memory behavior, security practices, and research-first development patterns into a structured framework. The project is designed to make coding agents more reliable by improving how they plan, inspect context, make changes, review work, and avoid unnecessary mistakes. ECC includes installation guidance and language-specific rule folders for applying the system across different development setups. Its focus is not on replacing the coding agent, but on giving it a stronger operating discipline. The project is most useful for developers who use AI agents frequently and want more consistent, safer, and more deliberate coding outcomes. -
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Codex plugin for Claude Code
Use Codex from Claude Code to review code or delegate tasks
Codex plugin for Claude Code is an integration layer that connects OpenAI Codex-style capabilities with agent-based coding environments, enabling seamless execution of coding tasks through structured plugins. The project is designed to extend the functionality of coding agents by allowing them to delegate tasks to Codex or similar models in a controlled and modular way. It likely provides abstractions for handling code generation, editing, and analysis while maintaining consistency across workflows. The system emphasizes interoperability, allowing developers to plug Codex capabilities into broader agent ecosystems without rewriting core logic. It may also include mechanisms for managing execution context, permissions, and tool access, ensuring that generated code can be safely applied. This makes it particularly useful for complex development pipelines where multiple agents or tools need to collaborate. -
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NemoClaw
NVIDIA plugin for secure installation of OpenClaw
NVIDIA NemoClaw is an open-source tool designed to simplify the deployment and management of always-on AI assistants using the OpenClaw ecosystem. It installs and configures the NVIDIA OpenShell runtime, which provides a secure environment for running autonomous AI agents. NemoClaw enables users to launch sandboxed agent environments that control network access, file permissions, and inference requests through policy-based security. The platform integrates with AI models such as NVIDIA Nemotron and supports multiple inference backends including cloud APIs, local NIM deployments, and vLLM. Through its command-line interface, developers can deploy, monitor, and manage AI assistants running inside isolated sandboxes. By combining sandbox orchestration, agent management, and AI model integration, NemoClaw provides a secure foundation for building and operating autonomous AI assistants. -
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chrome-cdp
Give your AI agent access to your live Chrome session
chrome-cdp-skill is a specialized integration that enables AI agents to control and interact with web browsers through the Chrome DevTools Protocol (CDP). It allows agents to perform tasks such as navigating pages, extracting data, interacting with elements, and executing scripts in a browser environment. The project is designed to extend the capabilities of AI systems beyond static knowledge by giving them real-time access to web content and interactive interfaces. Its architecture likely abstracts CDP commands into higher-level operations that are easier for agents to use. This makes it particularly useful for automation tasks such as web scraping, testing, and dynamic data retrieval. The system emphasizes precision and control, allowing agents to operate browsers programmatically with fine-grained actions. Overall, chrome-cdp-skill acts as a bridge between AI reasoning and real-world web interaction. -
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Superagent
Superagent protects your AI applications
Superagent is an open-source AI safety platform built to protect applications from prompt injections, data leaks, and harmful outputs. It embeds real-time safety directly into AI workflows, helping teams secure models before threats cause damage. Superagent provides guardrails that block jailbreaks, prompt manipulation, and sensitive data exfiltration. It includes redaction tools to remove PII, PHI, and secrets automatically from text. The platform also scans code repositories to detect AI-specific attack vectors like repo poisoning. Superagent is designed for low-latency production environments and works with any major LLM provider. It enables teams to prove compliance with modern AI security and regulatory standards. -
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dsh-our-free-model
Simply install this plugin in your dsh
dsh-our-free-model is a plugin and developing standalone service that connects dsh to multiple publicly available or account-backed AI model gateways. It discovers available models dynamically instead of relying on a fixed local catalog. The plugin can expose models through an OpenAI-compatible local endpoint for use by other software. It includes model availability checks, regional-status handling, configurable reasoning budgets, and local performance measurements. A dashboard tracks tokens, latency, generation speed, success rates, and recent requests while keeping usage statistics on the local machine. Built-in updating supports integrity checks, rollback, and hot reload. The project advertises several no-key model channels, although availability, privacy terms, and access conditions ultimately depend on the upstream providers. -
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pstack
Claude Code, Codex, Pi, OpenCode, Gemini, and Prime Agent versions
pstack is an opinionated collection of coding-agent workflows ported from Lauren Tan’s original Cursor skill stack to several other agent environments. It supports Claude Code, Codex, Pi, OpenCode, Gemini CLI, Prime Agent, and skills-only installations. The main poteto-mode entry point selects an appropriate workflow based on the requested development task. Specialized skills cover debugging, architecture, codebase investigation, refactoring, performance work, planning, pull requests, and shipping. Some workflows delegate work to multiple agents, compare competing solutions, or inspect a change from several perspectives. Model defaults and reasoning effort can be configured by role. The project runs locally, has no telemetry server, and tracks upstream skills while maintaining documented policy forks. -
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Anatomy
Agent skill for creating detailed, interactive isometric illustrations
Anatomy is an open-source AI agent skill that creates detailed, interactive isometric illustrations of machines, technical concepts, and complex systems. It transforms abstract ideas into visual explanations using carefully constructed mechanical objects. The software generates polished SVG graphics with realistic shading, precise geometry, and animated components. It supports WebGL shaders for effects such as fire, water, lighting, and steam. An experimental 3D mode enables moving parts to rotate and interact in three-dimensional space. Users can export illustrations as standalone HTML pages, SVG files, or React components. Anatomy integrates with Claude Code, Codex, OpenCode, Antigravity, and MiniMax Code, making it useful for technical documentation, educational content, and interactive presentations. -
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Codex Dream Skin
Give the Codex desktop a breathing face
Codex Dream Skin is an unofficial theming tool that changes the appearance of the Codex desktop application. It injects external styles through a local Chrome DevTools Protocol connection instead of modifying the official application package. Users can apply custom images and visual themes while retaining the native sidebar, project selector, suggestion cards, and input controls. The project provides platform-specific scripts for macOS and Windows. A restore process returns Codex to its original appearance with minimal effort. It binds its injection service to the local loopback interface and leaves API provider settings untouched. The repository also includes verification, recovery, and contribution guidance for safer customization. -
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pump-fun-skills
This repo contains pump fun skills for AI agents
pump-fun-skills is a repository that provides a collection of predefined “skills” or modules designed for use with AI agents in the pump.fun ecosystem. These skills represent reusable capabilities that agents can execute, enabling more structured and modular behavior. The project focuses on expanding the functionality of agents by providing ready-to-use components that can be combined into larger workflows. It supports customization, allowing developers to adapt or extend skills to meet specific requirements. The repository is particularly useful for developers building agent-based systems who want to accelerate development by reusing existing logic. It emphasizes modularity and composability, making it easier to build complex systems from smaller parts. Overall, pump-fun-skills serves as a library of building blocks for agent-based applications. -
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EAC Desktop
Dedicated to the Harmonious Coexistence of Hundreds of DSH Plugins
EAC Desktop (Embracing All Creation) is an open-source AI agent workspace built on DeepSeek Harness. It combines conversations, project files, tool execution, and plugins in a unified desktop environment. Users can assign tasks within project directories and inspect or restore file changes. The application bundles its runtime components to simplify installation and setup. Its extension system supports plugin discovery, installation, activation, and management. A protection center provides environment health checks, snapshots, and rollback capabilities. Context compression helps maintain longer AI conversations. Built with Tauri and a modular architecture, EAC Desktop also offers customizable skins, isolated environments, and native system tray integration. -
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Agent Skills
Production-grade engineering skills for AI coding agents
Agent Skills is a collection of production-oriented engineering workflows designed for AI coding agents. It packages senior software-development practices into structured Markdown skills that can be loaded into many agent systems. The collection contains 24 skills spanning project definition, planning, implementation, testing, debugging, review, security, documentation, and delivery. Each workflow includes explicit steps, verification gates, and safeguards against skipping important checks. A meta-skill helps agents identify which workflow best matches the current task. The skills can be installed in supported coding tools or copied into system prompts and project instruction files. The repository is designed to make agent-assisted engineering more repeatable, disciplined, and auditable. -
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AgentVerse
Designed to facilitate the deployment of multiple LLM-based agents
AgentVerse is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation. -
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shuohao-skills
Agent skills for AI short-drama production
shuohao-skills is a collection of reusable workflows for AI coding agents such as Claude Code and Codex. Its current featured skill transforms novels into structured character-development packages. The workflow can generate character profiles, visual design prompts, voice prompts, and model sheets from source fiction. Output language and image style can be configured for different creative pipelines, although the current implementation is Chinese-first. Installation scripts automatically link skills into supported agent environments and allow individual skills to be installed separately. Each skill is self-contained and includes documentation, deterministic helper scripts, references, examples, and local self-tests. -
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web-access
Skill for installing full networking capabilities for Claude Code
web-access is a tool designed to give AI agents structured and controlled access to web content, enabling them to retrieve, navigate, and process information from online sources in real time. It abstracts common web interactions such as page loading, data extraction, and navigation into reusable functions that can be invoked by agents. The system emphasizes safety and control, likely including mechanisms to manage permissions, rate limits, and content filtering. This allows agents to operate within defined boundaries while still benefiting from dynamic, up-to-date information. The architecture supports integration with broader agent frameworks, making it a key component for building systems that require external knowledge. It is particularly useful for tasks like research, monitoring, and automated data collection. Overall, web-access extends the capabilities of AI agents by connecting them to the live web in a structured and reliable way. -
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008
Open-source event-driven AI powered Softphone
008 is an open-source event-driven AI powered WebRTC Softphone compatible with macOS, Windows, and Linux. It is also accessible on the web (though official support for browser-related issues is not provided). The name '008' or 'agent 008' reflects our ambition: beyond crafting the premier Open Source Softphone, we aim to introduce a programmable, event-driven AI agent. This agent utilizes embedded artificial intelligence models operating directly on the softphone, ensuring efficiency and reduced operational costs. This project is a WebRTC softphone, and communication is achieved via SIP over a socket. Leading PBX systems like Asterisk or Freeswitch support socket connections. If your provider does not offer this feature, consider using a SIP proxy such as Kamailio, Opensip or Routr. The softphone is internally configured using a JSON definition. The configuration file can be loaded from either a server or a local file. 008 reads the file only once. -
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Archify
Agent skill for beautiful, verifiable architecture, workflow
Archify is an agent skill and rendering system for turning codebases or system descriptions into polished technical diagrams. It works with coding agents such as Claude Code, Codex CLI, Cursor, and OpenCode. Agents generate typed JSON representations that Archify deterministically compiles into self-contained HTML and SVG. It supports architecture, workflow, sequence, data-flow, and lifecycle diagrams. Interactive viewers provide search, route tracing, upstream and downstream exploration, guided stories, themes, and presentation controls. Built-in validation checks structure, layout, routes, labels, and exports before a diagram is delivered. -
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OpenAI Assistants Quickstart
OpenAI Assistants API quickstart with Next.js
openai-assistants-quickstart is a template for using the Assistants API in a Next.js app, demonstrating streaming, tool use, and function calling in one place. The repository includes multiple example pages that each showcase specific capabilities, while all examples share the same underlying assistant with all capabilities enabled. The primary chat logic lives in the Chat component at app/components/chat.tsx, which manages rendering, streaming, and forwarding function calls. Server handlers for threads are provided under api/assistants/threads/..., giving a reference for wiring the API into Next.js routes. The Chat component can be copied directly into other projects, along with its styles from app/components/chat.module.css. Example pages include a basic chat, a function calling demo, a file search demo, and a full-featured example, allowing developers to explore each feature in isolation or together. -
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Orkas
Orkas is an open-source (MIT), local-first AI team for your desktop
Orkas is an open-source, local-first desktop application that coordinates specialized AI agents to complete complex projects and recurring tasks. Its Commander agent translates user goals into actionable plans and delegates work to 16 built-in specialists. These agents handle research, software development, SEO analysis, content writing, multimedia production, and document creation. The platform also integrates with Claude Code, Codex, OpenCode, OpenClaw, and Hermes-Agent. Persistent project workspaces store files, instructions, memories, and progress across conversations. Users can assign tasks, review completed work, and automate recurring activities through configurable schedules. Orkas supports multiple AI providers and local model endpoints. It runs on Windows and macOS.
