Open Source TypeScript AI Coding Agents
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TypeScript AI Coding Agents
View 221 business solutionsBrowse free open source TypeScript AI Coding Agents and projects below. Use the toggles on the left to filter open source TypeScript AI Coding Agents by OS, license, language, programming language, and project status.
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OpenCode
The open source coding agent
OpenCode is an open-source AI coding agent designed to assist developers directly from the terminal, desktop, or IDE environments. It functions as a locally running assistant that can analyze codebases, execute development tasks, and interact with external tools while remaining highly configurable. The system is built around an agent model that can perform actions such as file manipulation, shell execution, and web access with user confirmation. Its provider-agnostic design allows developers to connect different large language model services rather than being locked into a single vendor. OpenCode aims to streamline everyday development workflows by combining automation with human oversight in a developer-first interface. Because it runs locally and exposes powerful capabilities, the project is particularly attractive for engineers who want deep control over AI-assisted coding pipelines. -
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Codex Mobile
Run Codex Mobile Anywhere: Linux, Windows, or Termux on Android
Codex Mobile is a lightweight bridge that exposes Codex app-server workflows through a browser-accessible interface. It is designed to let users run a Codex-style UI on Linux, Windows, or Termux-powered Android setups. The project starts a local web server with one command, then lets the user open the interface from the same machine, a LAN device, or another reachable connection. It can also create a Cloudflare tunnel by default, making remote access easier when the local setup allows it. Codex Mobile is useful for developers who want to control coding-agent sessions from a phone, tablet, remote browser, or nonstandard environment. Its main value is making Codex app workflows more portable, accessible, and usable beyond a traditional desktop terminal. -
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Cline
Autonomous coding agent right in your IDE
Cline is a command-line application building library for Node.js that helps developers easily create interactive CLI applications. Built on Node's readline module, it offers features like history support, auto-completion, and input masking. Cline allows you to define custom commands with argument placeholders, making it versatile for various command structures. Additionally, it supports modes, where different command sets can be dynamically loaded depending on the application's state. -
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omp (Oh My Pi)
AI Coding agent for the terminal
omp (Oh-My-Pi) is an open-source AI agent toolkit focused on creating intelligent coding assistants that operate directly from the terminal environment. The project provides a command-line coding agent capable of analyzing repositories, generating commits, editing code, and interacting with development tools through an integrated tool system. Instead of functioning as a simple prompt-based assistant, the system includes an agent architecture that can inspect Git repositories, analyze changes, and perform development actions with fine-grained control. The platform also supports tool-based workflows where the agent can run shell commands, read files, modify code, and stage changes during development tasks. It includes infrastructure for integrating different AI providers and models through a unified API layer, allowing developers to switch between models while keeping the same agent interface. -
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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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Kilo Code
Gives you a whole dev team of AI agents in your code editor
Kilo Code is a leading open-source coding agent designed to help developers build, ship, and debug software faster with AI-driven workflows. It offers specialized modes such as Ask, Architect, Code, Debug, and Orchestrator to support every stage of development. With features like automatic failure recovery, hallucination-free code, and deep context awareness, Kilo ensures reliable and accurate outputs. Developers can install Kilo across terminals, VS Code, and JetBrains editors for seamless integration into existing workflows. The platform also provides parallel agents, smart autocomplete, one-click deployment, and automated code reviews. As the #1 agent on OpenRouter with 750,000+ users, Kilo has become a trusted companion for agentic engineering at scale. -
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Freebuff
The free coding agent
Freebuff is a suite of free AI tools for coding, application building, and research across desktop, terminal, browser, cloud, and chat interfaces. Its coding agents can inspect a project, locate relevant files, edit code, run commands, and review their own work. Specialized agents divide tasks such as context gathering, implementation, research, and validation. The desktop app can run multiple agents in isolated local workspaces. Web and cloud editions provide hosted sandboxes, previews, terminals, and deployment workflows. The platform also offers a curated model catalog and can connect locally installed coding agents in supported environments. -
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Bolt.new
Prompt, run, edit, and deploy full-stack web applications
Bolt.new is an AI-powered full-stack development platform created by StackBlitz that enables users to build, run, edit, and deploy complete web applications directly from the browser without requiring any local setup or traditional development environment. It operates as an intelligent coding agent where users describe what they want to build in natural language, and the system generates functional applications, including frontend, backend, and infrastructure components. The platform is built on StackBlitz’s WebContainers technology, which allows Node.js environments to run entirely in the browser, eliminating the need for installations while maintaining real development capabilities. Bolt.new is designed to significantly lower the barrier to entry for software creation, making it accessible not only to developers but also to product managers, designers, and non-technical users who want to quickly prototype or launch applications. -
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AnyClaw
AnyClaw — OpenClaw + Codex + Claude Code on Android
AnyClaw is an Android-based AI assistant platform that combines OpenClaw, OpenAI Codex CLI, and OpenClaude (formerly Claw Code) into a single mobile application. It enables users to run advanced AI coding agents directly on their Android devices within a self-contained Linux environment. The platform provides conversational coding, agent routing, multi-threaded sessions, and automation capabilities without requiring root access or external servers. AnyClaw includes a full dashboard for managing chats, skills, tools, and AI workflows from a mobile interface. With support for multiple AI providers, users can interact with OpenAI, Claude-compatible, and local models through a unified experience. Designed for developers and AI enthusiasts, AnyClaw brings powerful coding and productivity agents to smartphones for development and automation on the go. -
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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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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-Reasonix
DeepSeek-native AI coding agent for your terminal
DeepSeek Reasonix is a DeepSeek-native AI coding agent designed for terminal-based software development. It is built around prefix-cache stability, which helps reduce token costs during long sessions and allows users to leave the agent running across extended workflows. Reasonix includes a coding mode with filesystem and shell tools, a lighter chat mode, one-shot task execution, health checks, session utilities, and project-scoped memory. It supports reviewed SEARCH/REPLACE edits, plan mode, MCP servers, web search, hooks, skills, semantic indexing, transcript replay, event logs, and cost or cache tracking. The project is especially useful for developers who want an open, terminal-first coding agent optimized for DeepSeek’s cache mechanics. It also includes a prerelease desktop client for users who prefer a GUI over the same agent loop. -
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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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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 -
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Happy Coder
Mobile and Web client for Codex and Claude Code, with realtime voice
Happy is an open-source, cross-platform mobile and web client designed to bring powerful AI coding agents such as Claude Code and Codex to your fingertips no matter where you are. At its core, Happy wraps existing AI coding tools with a unified interface, providing real-time voice interactions, encrypted communication, and seamless device switching between desktop and mobile. You can start a coding session locally through the Happy CLI or connect from a phone or browser, allowing developers to inspect, interact with, and guide the AI as it generates, tests, or explains code. The project includes components like a dedicated backend server for encrypted sync, a rich front-end experience across web and native apps, and support for push notifications when your coding agent encounters permission requests or errors. Happy prioritizes security with end-to-end encryption so your code and interactions remain private and auditable. -
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T3 Code
Minimal web GUI for coding agents
T3 Code is a minimal web GUI for running coding agents such as Codex, Claude, and OpenCode. It gives developers a cleaner interface for working with agent sessions without relying only on terminal-based workflows. The project can be launched quickly with npx, and it also supports desktop and remote access setups. Users need to install and authenticate at least one supported provider before using it, which keeps the actual agent accounts under the user’s control. The repository includes guidance for exposing a T3 Code server to another device, such as a phone, tablet, or separate desktop app. Overall, it is an early-stage developer tool for managing AI coding agents through a lightweight, session-oriented web interface. -
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Claude Code Haha
Claude Code leaked source - locally runnable version
Claude Code Haha is an experimental and often humorous adaptation of Claude-style coding agents, designed to explore and demonstrate how agentic coding systems behave under different configurations and prompts. While it retains the core functionality of analyzing and modifying codebases, the project introduces variations that highlight both the strengths and quirks of autonomous coding assistants. It serves as a sandbox for testing how agents interpret instructions, manage context, and execute development tasks in a less formal or more exploratory setting. The repository likely includes playful modifications, custom prompts, or unconventional workflows that reveal edge cases in agent behavior. Despite its informal tone, it still provides insight into how coding agents can be structured and extended. It is particularly useful for understanding limitations, failure modes, and creative applications of AI-driven development tools. -
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LazyCodex
The one and only agent harness for complex codebases
LazyCodex is an agent harness for using Codex on complex software projects. It is designed to add structure around AI coding sessions through memory, planning, execution, verification, skills, hooks, routing, and diagnostics. The project helps developers move beyond one-off prompts by giving the agent a more organized workflow inside a codebase. It supports project memory so context can persist across sessions and decisions do not need to be repeatedly reintroduced. LazyCodex also emphasizes verified completion, which means the workflow is built around checking whether tasks are actually finished rather than only generating code. Its main value is turning Codex into a more disciplined coding agent environment for larger and more demanding repositories. -
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Roomote
Your own cloud coding agent
Roomote is a source-available cloud coding agent designed to complete engineering tasks without requiring an IDE plugin or active terminal session. Users can assign work from Slack, Teams, Telegram, Discord, or its web interface. Each task runs in an isolated sandbox where the agent clones the repository, edits code, runs tests, and can capture screenshots. It can then push a branch and open a pull request with the resulting diff and preview information. Roomote supports multiple source-control platforms, model providers, and sandbox backends. It can be self-hosted or deployed as a managed instance, giving teams control over their infrastructure and credentials. -
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Zoo Code
Zoo Code gives you a whole dev team of AI agents in your code editor
Zoo Code is an AI coding assistant that brings a team-style agent workflow directly into the code editor. It can generate, refactor, debug, document, and explain code while working with the surrounding codebase. Dedicated Code, Architect, Ask, Debug, and Custom modes adapt the assistant to different tasks. Its orchestrator can delegate work, coordinate parallel subtasks, and recover parent or child tasks. Semantic code search helps agents locate relevant code without a separate indexing workflow. The project also supports many model providers, MCP servers, workspace rules, file-access controls, and safeguards against destructive commands. -
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Gemma Chat
Local AI chat + coding agent for Apple Silicon, powered by Gemma 4
Gemma Chat is a local-first AI chat and coding assistant designed to run fully on-device, particularly optimized for Apple Silicon machines. It leverages Google’s Gemma family of lightweight language models, which are built on the same underlying technology as Gemini and designed for efficient local inference and reasoning tasks. The project enables users to interact with AI through a chat interface while also supporting code generation and editing workflows. It emphasizes privacy and independence by avoiding cloud dependencies, allowing all interactions and data to remain local. The system integrates model selection and execution directly into the app, giving users control over performance and behavior. It is particularly aligned with the “vibe coding” approach, where users iteratively build and modify projects through conversational prompts. Overall, gemma-chat provides a streamlined, developer-focused environment for local AI experimentation and productivity. -
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Nanocoder
A beautiful local-first coding agent running in your terminal
Nanocoder is an open-source, local-first coding assistant that runs in the command line and allows developers to use AI models to assist with programming tasks directly from their terminal environment. The tool is designed as a privacy-focused alternative to proprietary AI coding assistants, allowing users to run local models or connect to external APIs while keeping full control over their data and development workflow. Built with TypeScript and distributed as a CLI application, nanocoder enables developers to interact with AI agents that can read files, modify code, execute commands, and assist with debugging tasks. The platform supports multiple AI providers through OpenAI-compatible APIs and can also integrate with local model runtimes such as Ollama or LM Studio. Its architecture emphasizes extensibility through custom commands and integration with Model Context Protocol servers that allow the AI agent to access additional tools. -
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Prime Agent
A self-improving RLM agent for coding workflows
Prime Agent is an open-source coding and research agent designed for complex workflows and long-running autonomous tasks. Its Recursive Language Model architecture treats context as programmable variables and subagents as callable functions inside a persistent Python environment. Files, shell commands, tools, context operations, and agent coordination are handled programmatically through the same runtime. Built-in subagents can work in parallel or continue tasks independently while returning results to a parent agent. A continual harness stores memories, skills, prompts, and reusable agent specifications that can improve through evidence-backed refinement. Daemon-backed sessions survive terminal disconnections and can be resumed later. Automatic compaction, persistent goals, schedules, heartbeats, and autonomous execution help maintain progress across extended tasks. -
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Dao Code
Open-source TypeScript terminal coding agent for DeepSeek-V4
Dao Code is an open-source terminal-native AI coding assistant built around DeepSeek V4 and a cost-conscious agent architecture. It reads code, writes code, runs commands, fixes bugs, and streams tool usage inside the terminal. The project emphasizes byte-stable prompts, prefix-cache reuse, and low-cost reflection or memory forks so longer coding sessions can remain affordable. It also includes cross-session memory that verifies saved facts against the current codebase instead of blindly trusting old context. Dao Code supports approval gates, slash commands, skills, MCP tools, hooks, custom subagents, permissions, crash recovery, shadow-git checkpoints, and autonomous long-task mode. It is aimed at developers who want a Claude Code-like workflow with stronger mainland China availability and DeepSeek-first economics. -
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Gajae-Code
Gajae Code MVP
Gajae-Code is an experimental coding-agent harness focused on structured planning, reviewable execution, and durable verification. It runs beside existing tools rather than hiding inside a specific agent runtime, so users can apply it to a chosen repository or isolated worktree. The workflow is built around clarifying requirements, planning before mutation, turning approved plans into goals, and tracking evidence until completion. It includes tmux-backed execution options for coordinating parallel workers when a task is large enough to benefit from them. Gajae-Code is useful for developers who want coding agents to behave less like single-prompt assistants and more like disciplined project collaborators. Its main value is giving AI coding work a clearer loop for interviews, plans, goals, execution checks, and evidence.
