Open Source TypeScript Agentic AI Tools
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TypeScript Agentic AI Tools
View 103 business solutionsBrowse free open source TypeScript Agentic AI Tools and projects below. Use the toggles on the left to filter open source TypeScript Agentic AI Tools by OS, license, language, programming language, and project status.
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Get full visibility and control over your tasks and projects with Wrike.Wrike offers world-class features that empower cross-functional, distributed, or growing teams take their projects from the initial request stage all the way to tracking work progress and reporting results.
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Managed Cloud Hosting Platform | NexcessThe managed cloud solution engineered for simplicity, with built-in governance and risk-mitigation, plus a bill you can actually forecast.
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REA: Reverse Engineer Anything
Reverse engineer anything with agents, from app behavior
REA (Reverse Engineer Anything) is an open-source, AI-powered reverse engineering toolkit that enables developers and AI agents to analyze software applications, native binaries, and runtime behavior. The platform uses the Model Context Protocol (MCP) to connect AI coding assistants with tools for inspecting compiled code, application structures, and software functionality. It supports reverse engineering of native executables, JavaScript and Electron applications, .NET assemblies, Android APKs, WebAssembly modules, firmware, and websites. REA integrates with reverse engineering tools such as Ghidra, Hopper, and IDA to examine assembly instructions, decompiled pseudocode, symbols, functions, and code references. Developers can use the platform to investigate how software features work, trace application behavior, identify implementation details, and reconstruct functionality in their own projects. REA supports AI coding assistants including Claude Code, Codex, Cursor, Gemini CLI, etc. -
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n8n
Free and source-available fair-code licensed workflow automation tool
n8n is an extendable workflow automation tool. With a fair-code distribution model, n8n will always have visible source code, be available to self-host, and allow you to add your own custom functions, logic and apps. n8n's node-based approach makes it highly versatile, enabling you to connect anything to everything. n8n has 200+ different nodes to automate workflows. -
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Project AIRI
Self hosted, you-owned Grok Companion
AIRI is a self-hosted AI companion platform designed to create interactive virtual characters capable of real-time conversation, gameplay interaction, and multimedia presence. The project aims to emulate advanced AI personalities similar to popular autonomous VTuber-style agents, combining voice interaction, animation, and behavioral logic into a unified system. It supports deployment across web, macOS, and Windows environments, making it accessible for hobbyists and developers building digital companions. AIRI integrates real-time voice chat capabilities and can interact with external applications such as games, enabling more immersive and dynamic experiences. The system emphasizes user ownership and local hosting so developers maintain full control over their AI companion instances. Overall, AIRI serves as an extensible framework for building lifelike AI-driven virtual characters and interactive assistants. -
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Memmy
AI agent & local memory hub for all AI agents
Memmy Agent is a local-first personal AI runtime and shared memory hub for multiple assistants. It collects and structures knowledge, preferences, project history, and prior conversations so tools such as Claude Code, Codex, Cursor, OpenClaw, and Hermes Agent can reuse the same context. Historical sessions can be imported and converted into searchable long-term memory instead of remaining isolated in separate applications. The runtime supports a desktop app, an interactive CLI, a terminal interface, memory commands, and an OpenAI-compatible API. Skills, MCP servers, browser tools, messaging channels, and productivity integrations extend it from conversation into task execution. Users can choose account-based access or configure their own models and API keys. Memory, configuration, and application state remain on the local machine by default. -
Hybrid Bare Metal Cloud Infrastructure | Servers.comThree bare metal hosting solutions on one global network. Spin up on demand to cover peaks, then optimize for cost when usage stabilizes.
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Orca
Orca is the ADE for working with a fleet of parallel agents
Orca is an agentic development environment for working with multiple coding agents in parallel. It is designed for developers who want to orchestrate agent-based coding workflows instead of running one isolated assistant at a time. The project lets users run coding agents with their own subscriptions, which keeps control over provider access in the user’s hands. Orca is available on desktop and also includes a mobile companion for monitoring and steering agents from a phone. Its focus is parallel agent work, development orchestration, and a more structured workspace for agent-driven coding. Overall, it is built for teams and individual developers who want to coordinate many AI coding sessions from one environment. -
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Hermes Desktop
Desktop Companion for Hermes Agent
Hermes Desktop is a native desktop application that simplifies the installation, configuration, and daily use of Hermes Agent, an AI assistant with advanced tool usage and self-improving capabilities. It provides an intuitive graphical interface that eliminates the need to manage Hermes through command-line tools. Users can connect to local or remote Hermes instances while accessing chat, memory management, skills, tools, profiles, and scheduling from a single workspace. The platform supports multiple AI providers, including OpenAI, Anthropic, Google Gemini, Grok, OpenRouter, and local model endpoints. Its real-time streaming chat interface includes markdown rendering, syntax highlighting, tool progress tracking, and token usage monitoring. Hermes Desktop also integrates messaging platforms, automation features, and customizable personas to create a comprehensive AI productivity environment. -
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UI-TARS Desktop
A GUI Agent app based on UI-TARS to control your computer using AI
UI-TARS Desktop is a graphical user interface (GUI) agent application that leverages the UI-TARS vision-language model to enable natural language control of computers. This cross-platform tool supports both Windows and macOS, allowing users to perform tasks through intuitive commands. Key features include screenshot-based visual recognition, precise mouse and keyboard control, and real-time feedback on actions. Provides immediate responses and visual feedback on actions performed. The application facilitates seamless interaction with the computer, enhancing user experience by simplifying complex operations into straightforward language instructions. Leverages advanced AI to bridge the gap between visual elements and language commands. UI-TARS Desktop is open-source and licensed under the Apache License 2.0. -
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Grok CLI
An open-source AI agent that brings the power of Grok
Grok CLI is a command-line interface built around the Grok AI model that brings programmatic and conversational AI capabilities directly to developer terminals. It lets you run Grok queries from your shell, scripting environment, or automation workflows without switching to a browser, enabling utility in scripting, quick data exploration, code generation, and assistant-guided tasks directly where you write code. The CLI supports streaming responses, so outputs appear in real time as the Grok model generates them, making interactions feel responsive and fluid in terminal contexts. Grok CLI is designed to integrate with existing terminal habits—aliases, pipes, editors, and tooling—so you can combine AI assistance with native command-line workflows like grep, awk, and git. It also includes authentication support, configuration management, and caching options so frequent queries are efficient. -
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Caprock
Free desktop app for Claude Code, Codex and OpenCode
Caprock is a free, open-source desktop app for AI coding agents, for macOS, Windows and Linux. It puts Claude Code, Codex and OpenCode sessions — including the ones you start in your own terminal — and the Gemini CLI sessions it starts into one window: terminals and projects in tabs and split panes, with activity, cost, plan limits and loop alerts for every session. Cost is per repository and per model, priced at API list prices from the tokens the agents already record, next to the 5-hour and weekly plan-limit windows. Everything the agent wrote is searchable across sessions and kept after Claude Code's 30-day transcript cleanup. A phone can carry on the work. It works with the subscription you already have. A daemon on loopback records sessions into a local SQLite database: no account, no hosted service, no telemetry. Free under Apache-2.0; an optional Premium licence adds paid features on top. -
Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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Cherry Studio
Cherry Studio is a desktop client that supports for multiple LLMs
Cherry Studio is a cross-platform desktop client that integrates multiple large language model providers into a unified interface for creating and using AI assistants, supporting customization and multi-model conversations. Selection Assistant with smart content selection enhancement. Deep Research with advanced research capabilities. Memory System with global context awareness. Document Preprocessing with improved document handling. MCP Marketplace for Model Context Protocol ecosystem. -
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Open Design
Local-first, open-source alternative to Anthropic's Claude Design
Open Design is a local-first, open-source AI design platform that enables coding agents to generate complete design systems and visual artifacts from prompts. It functions as an alternative to proprietary AI design tools by allowing users to connect their own models and run everything locally or deploy it as a web application. The system includes a library of design skills and brand-grade design systems that guide the generation process, ensuring consistency and quality. It integrates with various agent environments, turning them into fully capable design engines. The workflow produces structured outputs such as websites, dashboards, and presentations, rendered in real time. Its architecture emphasizes openness, modularity, and user ownership of data. Overall, it brings professional design capabilities into developer-controlled AI workflows. -
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Qwen Code
Qwen Code is a coding agent that lives in the digital world
Qwen Code is a command-line AI workflow tool designed to enhance developer productivity by leveraging the power of Qwen3-Coder models. Adapted from the Google Gemini CLI, it features an enhanced parser optimized specifically for Qwen-Coder models, enabling deep code understanding and manipulation. The tool supports querying and editing large codebases beyond traditional context limits, making it ideal for modern, complex projects. Qwen Code automates various development workflows, including handling pull requests and performing complex git rebases. It runs on Node.js (version 20 or higher) and can be installed globally via npm or from source. Users configure Qwen Code by setting API keys and endpoints, supporting both mainland China and international access. With Qwen Code, developers can explore codebases, refactor and optimize code, generate documentation, and automate repetitive tasks directly from the terminal. -
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DeepSeek Harness
DeepSeek Harness: Everything is a Plugin
DeepSeek Harness is an open-source agent harness built around the idea that every major capability should be replaceable as a plugin. It uses Cordis to compose model adapters, tools, session handling, agent loops, persistence, sandboxing, approvals, and interface layers into configurable profiles. Users can run a browser-based interface, select a workspace, configure DeepSeek or other compatible model endpoints, and launch agent sessions against local projects. Agents can read and edit files, execute commands, delegate work, and maintain plans. Durable session events make work replayable and support persistence, forking, and resuming. The project is currently a fast-moving developer preview, so compatibility-breaking changes are expected. -
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Gemini CLI
Open source AI agent CLI tool to bring Gemini into your terminal
Gemini CLI is an open‑source AI agent that brings the capabilities of Google’s Gemini 2.5 Pro large‑language model directly into your terminal, enabling tasks ranging from coding and debugging to content creation and research via natural‑language prompts, with support for multimodal outputs like image and video generation. Gemini CLI integrates with external tools and MCP servers, enabling media generation and enhanced workflow automation. It also includes a built-in Google Search tool to ground queries with relevant information. Users can authenticate with their Google accounts for free usage limits or configure API keys for higher capacity and access to specific models. The tool is designed to be easy to install and use, with extensive documentation and community support for troubleshooting and advanced workflows. -
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DeepSeek GUI
AI agent workspace for DeepSeek models, with Code and Claw modes
DeepSeek-GUI is an AI agent workspace built for working with DeepSeek models. It provides a graphical environment where users can interact with model-driven workflows instead of relying only on command-line or API access. The project includes Code and Claw modes, which are intended to support software development and agent-style task handling inside the application. It targets users who want a dedicated desktop-like workspace for DeepSeek-based coding, reasoning, and productivity. The project is released under the MIT license and has builds for major desktop platforms, including macOS and Windows. Its main value is making DeepSeek agent workflows easier to access through a focused visual interface. -
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OpenHands
Open-source autonomous AI software engineer
Welcome to OpenHands (formerly OpenDevin), an open-source autonomous AI software engineer who is capable of executing complex engineering tasks and collaborating actively with users on software development projects. Use AI to tackle the toil in your backlog, so you can focus on what matters: hard problems, creative challenges, and over-engineering your dotfiles We believe agentic technology is too important to be controlled by a few corporations. So we're building all our agents in the open on GitHub, under the MIT license. Our agents can do anything a human developer can: they write code, run commands, and use the web. We're partnering with AI safety experts like Invariant Labs to balance innovation with security. -
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HyperFrames
Write HTML. Render video. Built for agents
HyperFrames is a framework developed by HeyGen that focuses on generating and managing structured, dynamic content experiences powered by AI. It introduces the concept of “frames,” which represent modular units of content that can be dynamically composed and rendered based on context or user interaction. The system is designed to enable highly interactive and personalized experiences, particularly in applications such as video generation, storytelling, and user interfaces. It supports integration with AI models to generate or modify content within these frames, allowing real-time adaptation. The framework emphasizes composability, enabling developers to build complex experiences by combining smaller units. It is also designed to be extensible, allowing integration with different platforms and tools. Overall, Hyperframes provides a flexible infrastructure for building dynamic, AI-driven content systems that go beyond static outputs. -
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Kimchi
Terminal coding agent powered by Kimchi's multi-model orchestration
Kimchi is a terminal coding agent powered by multi-model orchestration. It is designed to help developers run AI-assisted coding sessions from the command line while coordinating specialized agents, tools, permissions, and project context. The repository includes systems for subagents, task classification, model delegation, MCP integration, web search, web fetching, Language Server Protocol support, authentication, and interactive terminal workflows. It also supports ACP-style JSON-RPC integration for editor workflows and remote session multiplexing through its teleport mode. Kimchi includes benchmarking tools for smoke testing sessions, auditing completed work, and comparing model behavior across predefined tasks. It is useful for developers who want a powerful terminal-first coding agent with structured orchestration rather than a simple chat wrapper. -
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BrowserSkill
Let AI agents use your real, logged-in browser
BrowserSkill is a local browser-automation bridge that lets AI agents work inside a user’s existing logged-in Chromium browser. It connects tools such as Claude Code, Codex, Cursor, Pi, Hermes Agent, and other shell-capable agents through the bsk CLI and a browser extension. Automated tasks run in a separate visible Agent Window so normal browsing can continue independently. Existing user tabs can be borrowed only through an explicit handoff workflow and returned afterward. Human intervention is supported for CAPTCHA, login, confirmation, and other steps that require manual action. The system can navigate pages, fill forms, capture screenshots, inspect content, and automate authenticated workflows. It supports macOS, Linux, and Windows with Chrome and Edge as primary browsers. -
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Rakazo
Open-source Grok Bot alternative. Choose your own model and sandbox
Rakazo is an open-source platform for running persistent AI teammates across web, desktop, and mobile clients. Each bot maintains its own conversations, memory, routines, and history instead of acting as a disposable chat session. Bots can use browsers, terminals, files, and graphical desktops through shared team computers or isolated private environments. They can delegate work to peer bots or temporary subagents and can use user-provided model credentials. Integrations are available through Composio, Pipedream Connect, remote MCP servers, OpenAPI tools, and other supported sources. Computer backends include local Docker plus E2B, Daytona, Box, and trusted local machines. The complete stack can be self-hosted, while voice mode adds dictation, spoken replies, and calling with supported speech providers. -
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ZCode
Z.ai's coding agent harness. Powerful, intelligent, extensible
ZCode is an open-source AI coding workspace that combines desktop, browser, and terminal interfaces around a shared agent runtime. The repository includes an Electron desktop app, web client, backend services, reusable UI packages, and the ZCode Agent CLI. Its terminal interface also serves as the agent runtime used by the other clients. Shared protocols, RPC components, provider integrations, persistence services, and client SDKs keep the different interfaces synchronized. Developers can run local desktop workspaces or prepare assets for remote workspace scenarios. The project uses a pnpm monorepo with React-based UI components and centralized build tooling. It is designed as a complete coding-agent environment rather than a standalone command-line assistant. -
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Open CoDesign
Open-source Claude Design alternative
Open CoDesign is an open-source, desktop AI design tool that transforms natural language prompts into fully structured design artifacts such as prototypes, slide decks, and marketing assets. It is designed as a local-first alternative to cloud-based design tools, allowing users to run everything on their own machine while bringing their own AI model and API keys. The system supports multiple model providers and integrates directly with existing developer tools, enabling seamless workflows without vendor lock-in. It generates HTML, React components, PDFs, and other outputs in real time, rendered in a sandboxed preview environment. The architecture emphasizes privacy, with all data stored locally and no mandatory accounts or telemetry. It also includes built-in design skill modules and allows users to define custom styles and preferences. Overall, it bridges AI generation and design engineering into a unified, programmable workflow. -
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Goose
AI coding agent that's more than suggestions - install, execute, edit+
Goose is an open-source, extensible AI agent that enhances the software development process by going beyond traditional code suggestions. It allows developers to install, execute, edit, and test code with any large language model (LLM), facilitating a more efficient and streamlined workflow. Designed to operate locally within a developer's environment, Goose integrates seamlessly with various tools and platforms, providing a customizable and powerful assistant for coding tasks. Its architecture supports extensibility, enabling users to tailor the agent to their specific needs and preferences. By leveraging Goose, developers can improve productivity and code quality through advanced AI-driven assistance. -
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Claude Code Router
Use Claude Code as the foundation for coding infrastructure
Claude Code Router is a tool for routing Claude Code requests to different model providers and customizing how those requests are handled. It acts as a configurable layer between Claude Code and multiple LLM backends, allowing users to control routing, provider selection, transformations, and workflow behavior. The project is useful for developers who want to keep the Claude Code interface while experimenting with different models, cost profiles, and specialized request handling. It supports project-level configuration, making it possible to adapt behavior depending on the codebase or use case. It also includes an extensible agent-oriented architecture for custom tools and workflows, including support for image-related tasks. Overall, it gives technical users more control over Claude Code infrastructure without abandoning the familiar coding assistant workflow. -
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Pi Agent
AI agent toolkit: coding agent CLI, unified LLM API, TUI & web UI
Pi is an open-source AI agent toolkit and coding agent framework designed to help developers build, run, and extend intelligent AI-powered workflows. Developed by Earendil Works, the project includes a coding agent CLI, unified multi-provider LLM API, agent runtime, terminal UI library, and web UI components. Pi supports multiple AI providers such as OpenAI, Anthropic, and Google through a single consistent API layer, making it easier to integrate different models into applications and agents. The framework is built around extensibility, allowing developers to create custom tools, workflows, and autonomous coding experiences. Pi also encourages the sharing of real-world AI coding sessions to improve agent performance through practical usage data instead of synthetic benchmarks. With its modular architecture, active open-source community, and support for advanced agent capabilities, Pi provides a comprehensive foundation for building next-generation AI development tools and autonomous c
