Open Source JavaScript Agentic AI Tools - Page 2
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JavaScript Agentic AI Tools
View 102 business solutionsBrowse free open source JavaScript Agentic AI Tools and projects below. Use the toggles on the left to filter open source JavaScript Agentic AI Tools by OS, license, language, programming language, and project status.
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Antigravity Claude Proxy
Proxy that exposes Antigravity provided claude / gemini models
Antigravity Claude Proxy is a purpose-built proxy server that enables developers to interface with Claude models through a standardized RESTful API, allowing tools and workflows that expect generic HTTP APIs to operate on Anthropic’s Claude without native support. The project acts as a translation layer, receiving web requests in common formats (such as OpenAI-style endpoints) and forwarding them to Anthropic’s API in the required structure, while converting responses back into a familiar shape. This makes it easier to integrate Claude into existing toolchains, scripts, notebooks, or agent frameworks that do not have built-in support for Anthropic’s native SDKs. It abstracts away key differences like authentication choreography, request schema quirks, and streaming protocols so client code can remain unchanged when switching between models. -
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Steel Browser
Open Source Browser API for AI Agents & Apps
Steel Browser is a privacy-focused web browser built with security and performance optimizations, designed to minimize tracking and enhance user control. -
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The Pope Bot
Autonomous AI agent that you can configure and build
The Pope Bot is an autonomous AI agent framework that lets users configure and run an AI-powered agent that can perform tasks continuously, day in and day out, by leveraging GitHub Actions, commit history, and secure workflows. It’s designed so that every action taken by the agent is logged as a git commit, giving users complete visibility into what the agent did, why it did it, and when, which makes actions auditable and reversible. The framework treats the repository itself as the agent’s “brain,” and GitHub Actions serve as the compute layer, enabling tasks to run securely without exposing sensitive API keys to the underlying AI. The system integrates with messaging platforms like Telegram, where users can interact with the bot, trigger actions, or receive notifications, and supports scheduling and automation through patterns of request handling. -
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AG2
Framework for building and orchestrating multi-agent AI systems
AG2 is an open source framework designed to support the creation and coordination of multiple AI agents working together to solve complex tasks. It provides abstractions that allow developers to define agents with distinct roles, responsibilities, and communication patterns, enabling collaborative problem-solving workflows. AG2 focuses on making multi-agent systems more accessible by simplifying how agents are configured, connected, and executed. It includes mechanisms for agent-to-agent interaction, task delegation, and iterative reasoning, which are essential for building advanced AI-driven applications. AG2 is intended for developers experimenting with autonomous systems, research prototypes, or production-grade agent pipelines. AG2 emphasizes flexibility, allowing users to integrate different models and customize behaviors depending on their use case. Overall, it serves as a foundation for building scalable and modular AI agent ecosystems. -
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Codebase to Course
A Claude Code skill that turns any codebase into an HTML course
Codebase to Course is an AI-powered development tool that converts any software repository into a fully interactive educational experience presented as a self-contained HTML course. It is implemented as a skill for Claude Code and is designed to help users understand how a codebase works without requiring a formal computer science background. The tool analyzes the structure and behavior of a project and generates a visually rich, scroll-based course that includes diagrams, animations, and contextual explanations. It pairs real code with plain-English interpretations, allowing learners to follow execution flows and grasp concepts intuitively. The generated course also includes interactive quizzes and glossary tooltips to reinforce understanding through application rather than memorization. It is particularly targeted at “vibe coders,” or users who rely on AI tools to build software but want deeper insight into how their projects function. -
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Hallmark
Anti-AI-slop design skill for Claude Code, Cursor, and Codex
Hallmark is an anti-AI-slop design skill for AI coding assistants such as Claude Code, Cursor, and Codex. It gives agents a concrete design rule set for producing interfaces that look intentionally crafted rather than generic, repetitive, or template-like. The project focuses on typography, color, layout, motion, microinteractions, visual hierarchy, and structural variation. It can be used to build new UI, audit existing code, or redesign an interface while keeping the underlying content and information architecture. Hallmark includes reference material and worked examples so agents can apply the design logic more consistently. Its main value is helping AI-generated interfaces move from “technically functional” to visually deliberate and product-ready. -
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Tiledesk Server
Tiledesk Server is the main API component of the Tiledesk platform
Tiledesk Server is the backend component of the Tiledesk platform, providing a comprehensive open-source live chat system with integrated chatbot capabilities for customer support and engagement. -
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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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StudioOllamaUI
StudioOllamaUI is a local, portable interface for Ollama
StudioOllamaUI: Portable .The easiest way to run local AI Do you want to use AI but don't know what Docker is? Does the terminal scare you? StudioOllamaUI is for you. Zero Installation: Works on a fresh Windows installation. No Python, no libraries, no drama. 100% Portable: Just like a portable browser. Unzip, run, and that's it. It doesn't clutter your registry or leave traces on your disk. AI for Everyone: No expensive GPU? No problem. Optimized to run smoothly on your CPU and RAM. Total Privacy: Everything stays on your machine. No data leaves for the cloud, and no hidden files are left on your system. -
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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CodinIT.dev
Free, local, open-source AI app builder
CodinIT.dev is a free, local, open source AI app builder that lets you go from idea to full-stack application entirely on your machine, no coding required, just chat with AI. You can build unlimited apps with real-time previews, instant undo, and responsive, frictionless workflows. Deep Supabase integration means you can create UI and backend logic in one cohesive environment, while the model-agnostic architecture lets you connect to any AI, whether cloud-based (Gemini 3 Pro, GPT-5, Claude Sonnet 4.5) or local via Ollama, so you’re never locked in. All source code remains on your device and integrates seamlessly with your preferred IDE. A natural-language API enables powerful data queries and updates, automating tasks without leaving the chat interface. By running entirely locally, CodinIT.dev delivers maximum privacy, minimal latency, and smooth developer experiences free from cloud-based inconsistencies. -
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ASu-skills
Job-search workflow plugin suite
ASu-skills is a job-search workflow plugin suite designed for AI coding assistants. It provides specialized entry points for building verifiable experience, improving resume content, creating resumes, preparing for interviews, and tracking applications. Its contributor workflow helps users identify realistic open-source contributions and prepares changes for approval before submission. Resume tools can rewrite experience for target roles and generate editable HTML layouts with PDF export. Interview workflows analyze resume claims, predict likely questions, and probe knowledge gaps through follow-up questions. The suite supports Claude Code, Codex, and TraeWork while sharing common skills, assets, and reference materials. -
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Agent Skills
Agent skills for designers and builders using Codex, Claude, Cursor
Agent Skills is a curated library of reusable AI-agent workflows for designers, developers, and creative builders. Its skills are written as portable Markdown playbooks that can be loaded by Codex, Claude, Cursor, and other coding agents. The collection spans web design, game development, media workflows, automation, performance optimization, auditing, and prompt generation. Each skill focuses on procedural steps, useful defaults, guardrails, and acceptance checks instead of broad reference material. Optional folders can include scripts, assets, examples, articles, references, and runnable demos. The repository currently contains more than one hundred skills organized into multiple categories. Its goal is to turn successful prompts and workflows into versioned assets that can be reused across projects and agent environments. -
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EdgeChains
EdgeChains.js is Full-Stack GenAI library
EdgeChains.js is a full-stack generative AI library that provides front-end, back-end, APIs, prompt management, and distributed computing capabilities, with core prompts and chains managed declaratively in Jsonnet. At EdgeChains, we take a unique approach to Generative AI - we think Generative AI is a deployment and configuration management challenge rather than a UI and library design pattern challenge. We build on top of a tech that has solved this problem in a different domain - Kubernetes Config Management - and bring that to Generative AI. Edgechains is built on top of jsonnet, originally built by Google based on their experience managing a vast amount of configuration code in the Borg infrastructure. -
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KaibanJS
JS-native framework for building and managing multi-agent systems
JavaScript-native framework for building multi-agent AI systems. Multi-agent AI systems promise to revolutionize how we build interactive and intelligent applications. However, most AI frameworks cater to Python, leaving JavaScript developers at a disadvantage. KaibanJS fills this void by providing a first-of-its-kind, JavaScript-native framework designed specifically for building and integrating AI Agents. Harness the power of specialization by configuring AI agents to excel in distinct, critical functions within your projects. This approach enhances the effectiveness and efficiency of each task, moving beyond the limitations of generic AI. Just as professionals use specific tools to excel in their tasks, enable your AI agents to utilize tools like search engines, calculators, and more to perform specialized tasks with greater precision and efficiency. -
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MindSearch
An LLM-based Multi-agent Framework of Web Search Engine
MindSearch is an AI-powered search engine based on large language models (LLMs) designed for deep semantic search and retrieval. It leverages InternLM's language model to understand complex queries and retrieve highly relevant answers from large datasets. -
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MindsDB
Making Enterprise Data Intelligent and Responsive for AI
MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types. MindsDB connects to diverse data sources and applications, and unifies petabyte-scale structured and unstructured data. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making capabilities. A federated query engine that tidies up your data-sprawl chaos while meticulously answering every single question you throw at it. MindsDB has an MCP server built in that enables your MCP applications to connect, unify and respond to questions over large-scale federated data—spanning databases, data warehouses, and SaaS applications. -
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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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OpenClaw Chinese Translation
Open source personal AI assistant Chinese version
OpenClawChineseTranslation is a community-driven effort to provide translated resources and documentation for the OpenClaw project in Chinese, making it easier for native Chinese developers to understand and implement the agent framework. It focuses on producing accurate and up-to-date translations of tutorials, API references, configuration guides, and explanatory materials so that learners don’t struggle with language barriers when working with the original project. The repository organizes translated articles, diagrams, and examples in a way that mirrors the structure of the original codebase, helping users correlate documentation with the actual implementation. It also includes localized explanations of conceptual topics such as agent reasoning, message handling, workflow design, and best practices. -
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SuperAGI
A dev-first open source autonomous AI agent framework
An open-source autonomous AI framework to enable you to develop and deploy useful autonomous agents quickly & reliably. Join a community of developers constantly contributing to make SuperAGI better. Access your agents through a graphical user interface. Interact with agents by giving them input, permissions, etc. Agents typically learn and improve their performance over time with feedback loops. Run multiple agents simultaneously to improve efficiency and productivity. Connect to multiple Vector DBs to enhance your agent’s performance. Each agent is unique, use different models of your choice. Get insights into your agent’s performance and optimize accordingly. Control token usage to manage costs effectively. Enable your agents to learn and adapt by storing their memory. Get notified when agents get stuck in the loop, and provide proactive resolution. Read and store files generated by Agents. -
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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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unlazy
Anti-laziness skill for AI agents. Core: the Depth Tree method
unlazy is an AI-agent skill designed to enforce disciplined completion and verification on substantial tasks. It requires agents to define acceptance gates before claiming that work is finished. Each gate can specify a command, expected result, working directory, and recorded evidence. A bundled checker validates the ledger, runs approved checks, and can reverify previously completed work. The workflow emphasizes reviewing returned work and reporting only conclusions supported by verifiable evidence. It can be installed for Claude Code, Codex CLI, and other skill-compatible agents, with additional templates and orchestration guidance for more complex tasks. -
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Frontman
AI coding agent for visual frontend fixes in your browser
Frontman is an open-source AI coding agent that lives inside your running web app. Click any element, describe the change, and Frontman edits the real source files with hot reload. Unlike IDE-only coding tools, Frontman sees the live DOM, component tree, computed CSS, routes, source maps, screenshots, console output, and server logs. That runtime context helps product managers, designers, and frontend teams fix copy, spacing, colors, layout bugs, and internal UI polish without guessing which file owns a rendered element. Works with Next.js, Astro, Vite, React, Vue, Svelte, and SvelteKit. BYOK model support includes OpenAI, Anthropic, OpenRouter, Google, xAI, Fireworks, NVIDIA, and more. Use Frontman when visual frontend edits get stuck in design QA, product review, or developer handoff. -
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Atomic Agent
Open Source Local First Ai Agent
Atomic Agent is an open-source, local-first AI agent that runs on your own machine. It drives your real tools — terminal, files, browser — and keeps every session on your own disk. Point it at a local model through llama.cpp, or plug in a hosted model when you want more power. No lock-in: you choose the model, you own the data, you keep control. Built for people who want a capable autonomous agent without shipping their work to someone else's cloud. -
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Null-CLi
Secure The Unknown
NullSquare is an AI-powered security platform that can do both penetration testing and compliance auditing. -
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easy fusion is a java-based framework that intends to automatically deploy and control information fusion systems (IFS) on distributed and dynamic resources.
