Search Results for "ai code agent" - Page 3
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Showing 251 open source projects for "ai code agent"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Playwriter
Chrome extension to let agents control your browser
Playwriter is an open-source project that combines a Chrome extension with a CLI to allow autonomous agents to control a web browser directly using Playwright code in a stateful sandbox environment. The system enables browser automation by running Playwright commands through a persistent session managed by a background extension, allowing agents or scripts to navigate, interact with, and query browser contexts without losing state between commands. This makes it valuable for scenarios where AI agents need to perform complex web automation tasks—like multi-step navigation, form interaction, or content extraction—without reinitializing context or state every time. ... -
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Srcbook
TypeScript-centric app development platform
...Srcbook’s notebook component offers a structure similar to Jupyter or Livebook, but focused on the JavaScript/TypeScript ecosystem, letting developers intermix code, documentation, and visuals while executing code cells on demand. The AI app builder extends this by helping generate, modify, or fix code using configured AI models — with changes presented as editable diffs and the ability to accept or reject updates — enabling rapid prototyping of web UIs and backend logic. -
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Karpathy-Inspired Claude Code Guidelines
A single CLAUDE.md file to improve Claude Code behavior
Karpathy-Inspired Claude Code Guidelines is a curated learning and experimentation repository inspired by the work and teaching philosophy of Andrej Karpathy, designed to help learners build practical competence in deep learning, neural networks, and AI infrastructure. The project organizes a progressive path through exercises, notebooks, code examples, and practical mini-projects that echo Karpathy’s approach to “learning by doing,” where students build core concepts from first principles rather than consuming superficial abstractions. ... -
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BackAnt CLI
Let your AI agent create clean, easy to maintain flask backends
...It can scaffold an entire API or extend an existing project by generating a single route or sub-route, so it supports both greenfield development and iterative expansion. BackAnt CLI is also designed to work with coding agents through an MCP server, which allows compatible AI development tools to generate and modify backend code directly from chat-driven workflows. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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Ultracite
A highly opinionated, zero-configuration linter and formatter
...The project emphasizes type-safety and best practices, enforcing stricter rules out of the box so that unsafe or sloppy patterns are discouraged. It also positions itself as “AI-ready,” meaning it’s designed to integrate smoothly into workflows where AI code generation (e.g., from Copilot, Claude Code, etc) is involved, ensuring consistent style across team-written and machine-written code. -
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AIaC
Artificial Intelligence Infrastructure-as-Code Generator
aiac is a command line tool to generate IaC (Infrastructure as Code) templates, configurations, utilities, queries and more via OpenAI's API. The CLI allows you to ask the model to generate templates for different scenarios (e.g. "get terraform for AWS EC2"). It will make the request, and store the resulting code to a file, or simply print it to standard output. By default, aiac uses the same model used by ChatGPT, but allows using different models. -
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RA.Aid
Develop software autonomously
RA.Aid is an AI-powered assistant designed to enhance the efficiency of software development workflows. It integrates seamlessly with various development environments, providing intelligent code suggestions, automated documentation generation, and real-time error detection. By leveraging advanced machine learning models, RA.Aid aims to reduce development time and improve code quality. -
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AWS X-Ray Java Agent
The official AWS X-Ray Auto Instrumentation Agent for Java
The AWS X-Ray Java Agent is a drop-in solution that enables the propagation of X-Ray traces within your Java web applications and servlet-based microservices. This includes automatic tracing for supported frameworks and libraries, including Spring, the AWS SDK, Apache HTTP clients, and JDBC-based SQL queries. The agent enables you to use the X-Ray SDK out of box, and requires no code changes to enable the basic propagation of traces. -
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Dyad
Free, local, open-source AI app builder
Dyad 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 2.5 Pro, GPT-4.1, Claude Sonnet 4) or local via Ollama, so you’re never locked in. ... -
Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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AIClient-2-API
Simulates Gemini CLI, Antigravity, Qwen Code, and Kiro client
AIClient-2-API is a developer-focused tool that acts as a compatibility layer, simulating multiple AI client interfaces and translating them into standardized API requests compatible with OpenAI-style endpoints. It enables developers to connect various AI tools and clients, such as Gemini CLI, Qwen Code, or other proprietary interfaces, into a unified backend without needing to rewrite integrations. The system is designed to support high-throughput usage, handling large volumes of requests while maintaining compatibility across different AI ecosystems. ... -
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agentOS
A portable open-source operating system for agents. ~6 ms coldstarts
agentOS is a portable, open-source runtime environment designed specifically for executing AI agents efficiently, acting as a lightweight operating system tailored for agent-based workloads. It is built using WebAssembly and V8 isolates to provide secure, sandboxed execution without the overhead of traditional containers or virtual machines. The system is optimized for extremely fast startup times, with near-instant cold starts that allow agents to be created and executed in milliseconds. ... -
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Airweave CLI
The Airweave CLI for developers and AI agents
Airweave CLI is a command-line interface designed to streamline the development, deployment, and management of AI-powered workflows and agent-based systems. It provides developers with a lightweight tool to interact with Airweave’s platform directly from the terminal, enabling rapid iteration on AI pipelines without relying on graphical interfaces. The CLI simplifies tasks such as configuring environments, running AI agents, managing prompts, and integrating external APIs, making it particularly useful for engineers building automation or orchestration layers around large language models. ... -
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ComfyUI
The most powerful and modular diffusion model GUI, api and backend
The most powerful and modular diffusion model is GUI and backend. This UI will let you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. We are a team dedicated to iterating and improving ComfyUI, supporting the ComfyUI ecosystem with tools like node manager, node registry, cli, automated testing, and public documentation. Open source AI models will win in the long run against closed models and we are only at the beginning. Our core mission... -
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Appsmith
Low code project to build admin panels, internal tools, and dashboards
Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API. Appsmith is an open-source platform to build, deploy, and maintain internal apps. You can build anything from simple CRUD apps, admin panels, dashboards to custom business apps and complicated multi-step workflows. Build your UI with our drag and drop UI builder. Use 45+ pre-built, customizable widgets including tables, charts, lists, modals, forms, and more. Connect to your... -
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RuFlo
The leading agent orchestration platform for Claude
...Ruflo integrates with modern tooling ecosystems, making it suitable for tasks such as code manipulation, automation, and data processing. Its design reflects a focus on productivity, offering a balance between flexibility and simplicity so that users can quickly define and run custom processes. The tool also supports extensibility, enabling developers to adapt it to different environments and use cases. -
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Markdown Site
An open-source publishing framework built for AI agents and developers
Markdown Site is an open-source publishing framework built to help developers and AI agents quickly ship content-driven websites, blogs, or documentation directly from Markdown files with a seamless sync workflow. It is built on modern web technologies such as React, Convex, and Vite, and integrates real-time syncing so that changes to Markdown content locally instantly propagate to live views without the need to rebuild or redeploy. The framework supports an efficient authoring experience... -
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Synkra AIOS
AI-Orchestrated System for Full Stack Development
...The framework includes features for project setup, environment configuration, deployment scaffolding, and intelligent code generation, potentially reducing time spent on boilerplate and repetitive engineering tasks. Synkra AIOS positions itself as a productivity middleware that integrates AI reasoning within traditional devops, front-end, and back-end workflows, allowing teams to produce production-ready applications faster. -
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Patchwork
Automate code reviews, patching and documentation
Patchwork automates development gruntwork like PR reviews, bug fixing, security patching, and more using a self-hosted CLI agent and your preferred LLMs. -
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Cloud CLI
Use Claude Code, Cursor CLI or Codex on mobile and web with CloudCLI
ClaudeCodeUI, also known as CloudCLI, is an open-source web and mobile interface that enables developers to control Claude Code and similar AI coding tools through a graphical environment. The project provides a browser-based dashboard that allows users to manage coding sessions, projects, and prompts remotely from virtually any device. It is designed to bridge the gap between terminal-first AI coding workflows and more accessible visual interfaces, improving usability without sacrificing power. ... -
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The Vibe Companion
Open-source Claude Code/Codex Web UI
The Companion project by The-Vibe-Company is an open-source web-based UI for interacting with Claude Code, offering a fully graphical interface to launch sessions, stream responses, and approve or deny AI tool usage—all via web browsers on desktop or mobile. Instead of working solely through a command-line interface, developers and creators can start, manage, and visualize Claude Code sessions in a modern web environment built with TypeScript, enabling more natural interaction with AI models. ... -
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Conftest
Write tests against structured configuration data
Conftest is a utility to help you write tests against structured configuration data. For instance, you could write tests for your Kubernetes configurations, Tekton pipeline definitions, Terraform code, Serverless configs, or any other structured data. Conftest relies on the Rego language from Open Policy Agent for writing policies. If you're unsure what exactly a policy is, or unfamiliar with the Rego policy language, the Policy Language documentation provided by the Open Policy Agent documentation site is a great resource to read. -
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Harness
Harness Open Source is an end-to-end developer platform
Harness is a CI/CD platform (available as SaaS/On-prem) that automates build, test, and deployment workflows. It offers pipeline-as-code YAML definitions, AI-optimized builds, policy-driven governance, multi-environment deployment templates (canary, blue/green), and integrated security scanning. -
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PyTorch Lightning
The lightweight PyTorch wrapper for high-performance AI research
...PyTorch Lightning is the ultimate PyTorch research framework that allows you to focus on the research while it takes care of everything else. It's designed to decouple the science from the engineering in your PyTorch code, simplifying complex network coding and giving you maximum flexibility. PyTorch Lightning can be used for just about any type of research, and was built for the fast inference needed in AI research and production. When you need to scale up things like BERT and self-supervised learning, Lightning responds accordingly by automatically exporting to ONNX or TorchScript. ... -
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OpenSumi
A framework helps you quickly build Cloud or Desktop IDE products
A framework helps you quickly build Cloud or Desktop IDE products. Integrate with your coding frameworks with ease. Support the container, Electron and front-end frameworks. Also help to ship and deploy quickly. Support VS Code plugins, OpenSumi plugins and OpenSumi modules to meet various business requirements. Customize the UI design in any way you like, no matter to simply configure the built-in UI, or develop a UI template, or build your own UI through plugins. OpenSumi framework aims to... -
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Mentat
Mentat - The AI Coding Assistant
Mentat is the AI tool that assists you with any coding task, right from your command line. Unlike Copilot, Mentat coordinates edits across multiple locations and files. And unlike ChatGPT, Mentat already has the context of your project, no copy and pasting is required. Run Mentat from within your project directory. Mentat uses Git, so if your project doesn't already have Git set up, run git init. List the files you would like Mentat to read and edit as arguments. Mentat will add each of them...
