Search Results for "ai" - Page 4
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Showing 486 open source projects for "ai"
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CodiumAI PR-Agent
AI-Powered tool for automated pull request analysis
CodiumAI PR-Agent is an open-source tool aiming to help developers review pull requests faster and more efficiently. It automatically analyzes the pull request and can provide several types of commands. See the Usage Guide for instructions how to run the different tools from CLI, online usage, Or by automatically triggering them when a new PR is opened. You can try GPT-4 powered PR-Agent, on your public GitHub repository, instantly. Just mention @CodiumAI-Agent and add the desired command in... -
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Groq TypeScript / Node.s
The official Node.js / Typescript library for the Groq API
...With this SDK, developers can call Groq’s models, transcribe audio, perform file uploads — all with minimal boilerplate — which streamlines creation of AI-enabled applications in the JavaScript/TypeScript ecosystem. -
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Motia
Multi-Language Backend Framework that unifies APIs
...Motia is built with extensibility in mind, allowing engineers to define complex workflows and AI-driven processes without sacrificing consistency or scalability. Its modular architecture supports integration with existing systems, plug-in architectures, and dynamic environments, making it suitable for building microservices, enterprise applications, or large automated systems. -
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Steedos Platform
The AI-Native Infrastructure for Enterprise Apps
...ObjectQL defines data, logic, and UI in a standard format that AI tools can generate and modify. ObjectOS provides the runtime layer for APIs, authentication, permissions, workflow automation, and business logic. Object UI turns metadata into responsive React and Tailwind interfaces, while still allowing custom components and pro-code extension. Steedos is built for teams that need enterprise-grade apps with low-code speed, AI assistance, and flexible backend architecture. -
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Output
TypeScript framework for building AI workflows and agents
Output is an open-source TypeScript framework designed to build, orchestrate, and manage AI workflows and agents within a single unified system. It consolidates multiple aspects of AI development, including prompt management, evaluation, tracing, cost tracking, and orchestration, into a file-based architecture that lives entirely within the codebase. The framework is built specifically to work with AI coding agents, enabling them to read, modify, and execute workflows directly from structured project folders. ... -
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Markdown Site
An open-source publishing framework built for AI agents and developers
...The framework supports an efficient authoring experience via a simple terminal sync command that keeps content synchronized across connected browsers, AI tools, and discovery engines. By leveraging Convex for backend real-time data management and Netlify for static hosting, markdown-site enables rich publishing features like SEO optimization, full-text search, analytics dashboards, and AI-indexed content tailored to LLM workflows. -
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StabilityMatrix
Multi-Platform Package Manager for Stable Diffusion
StabilityMatrix is a project that helps organize, evaluate, and compare generative AI models and their behavior across prompts, datasets, or configuration settings. It provides a framework to run experiments systematically—capturing inputs, model configurations, outputs, and metrics—so researchers and practitioners can reason about differences in quality, robustness, and failure modes. The repository often bundles tooling for automated prompt sweeping, scoring heuristics (such as diversity, coherence, or task-specific metrics), and visualization helpers to make comparisons interpretable. ... -
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wx-cli
WeChat local data CLI with daemon architecture
...The tool can inspect conversations, chat history, unread messages, contacts, group members, group nicknames, favorites, statistics, exports, SNS feed items, public account articles, and image attachments. It is designed to be AI-agent friendly, with YAML output by default and optional JSON output for automation or downstream processing. The project keeps data local, decrypts in real time, and avoids full pre-decryption workflows. It is useful for users who need searchable, scriptable access to their own WeChat records while preserving local control over the data. -
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TestSprite
AI-powered automated testing from your terminal
TestSprite is the official command-line interface for TestSprite’s AI-powered testing platform. It lets developers and coding agents run automated tests against live frontend and backend applications from the terminal. The CLI is designed as a verification layer for agentic coding workflows, so an AI agent can create tests, run them, inspect failures, fix code, and rerun checks. It returns structured failure bundles that can include failing steps, screenshots, DOM snapshots, test source, root-cause hypotheses, and recommended fix targets. ... -
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Loop Engineering
Practical patterns, starters & CLI tools for loop engineering with AI
Loop Engineering is a practical reference repository for designing loop-based workflows with AI coding agents. It focuses on replacing repeated manual prompting with systems that prompt, verify, schedule, and hand off work over time. The project is aimed at developers using tools such as Grok, Claude Code, Codex, Cursor, and other coding agents. It explains core building blocks such as scheduling, worktrees, skills, plugins, connectors, sub-agents, and persistent memory or state. ... -
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OfficeCLI
OfficeCLI is the first and best command-line tool
...It also supports extensibility, enabling users to customize commands and integrate additional services. The project bridges the gap between traditional office software and modern AI-driven automation. Overall, OfficeCLI provides a streamlined interface for managing productivity tasks with intelligent assistance. -
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Bacalhau
Community-driven, simple, yet powerful framework
...Bacalhau supports various runtime environments and is designed to make decentralized data processing as accessible as traditional cloud computing. It’s especially useful for large-scale AI/ML jobs, scientific research, and content indexing in Web3 ecosystems. -
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1Backend
Build AI (or any) apps with scalable microservices & microfrontends
1Backend is an AI-native full-stack platform for building distributed applications with microservices and microfrontends. It works as a framework, proxy, and runtime that reduces early infrastructure overhead for developers. The platform includes built-in capabilities for authentication, user accounts, service routing, microfrontend routing, email, and API access. -
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Cha
Deprecated AI CLI for terminal based interactions
Cha is a command-line AI assistant for terminal-based interaction with large language models. It was designed to let developers chat with AI from the terminal while keeping control over the workflow and environment. The repository now serves as a historical reference because active development moved to Ch, a faster Go-based successor. Cha included support materials such as optional search setup assets, including SearXNG-related configuration instructions. -
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Bot Framework Web Chat
A highly-customizable web-based client for Azure Bot Services
...Create an AI experience that can extend your brand and keep you in control of your own data. -
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LLPhant
A comprehensive PHP Generative AI Framework
LLPhant is a PHP-based generative AI framework designed to bring large language model capabilities into modern PHP applications with a structure inspired by frameworks like LangChain. It provides developers with a set of abstractions for building AI-powered features such as chat systems, retrieval pipelines, and automated workflows while remaining simple enough to integrate into existing Symfony or Laravel projects. -
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PromptingTools.jl
Streamline your life using PromptingTools.jl
...It focuses on reducing the complexity of prompt creation by introducing templating systems, macros, and reusable functions that standardize how prompts are constructed and executed. The library provides a family of ai* functions that handle tasks such as generation, embeddings, classification, and data extraction, all following a consistent structure. It supports multiple backends, including OpenAI-compatible APIs and local models such as those served through Ollama, allowing users to switch providers without rewriting prompts. The toolkit also includes advanced capabilities such as asynchronous execution, routing, OCR, and experimental agent workflows, making it suitable for both simple and complex AI applications. -
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CCC
Claude Opus 4.6 wrote a dependency-free C compiler in Rust
...While still early and not fully validated for correctness, it demonstrates the frontier of what sophisticated AI can build in complex, systems-level software domains, including the potential to compile real operating systems and large software projects. -
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Peinture
A general-purpose AI image generation framework that supports HF
Peinture is a sleek, dark-themed web application that brings AI-powered image generation to artists, designers, and casual creators through a modern interface built with React, TypeScript, and Tailwind CSS. Instead of tying users to a single service, Peinture integrates multiple backend providers, including Hugging Face, Gitee AI, Model Scope, and others, so you can switch between models or extend support to custom endpoints — giving you flexibility over where and how your images are generated. ... -
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beautiful-html-templates
A library of HTML slide templates
...The project includes an index-driven workflow, with guidance files that explain how an agent should inspect available templates and match them to the requested style. Its templates are intended to be practical starting points rather than generic blank layouts. The library is useful for AI-assisted deck creation, branded one-off presentations, and fast visual prototyping. Its main value is helping agents create attractive HTML-based slides without designing every layout from scratch. -
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Garden Skills
ConardLi's open-source Skills collection, featuring web design
...Each skill encapsulates a specific function, making it easier to reuse across projects and contexts. The system supports integration with agent frameworks, enabling automation and orchestration of tasks. It is particularly useful for developers building structured AI systems rather than ad hoc prompt-based solutions. -
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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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Knowledge Work Plugins
Open source repository of plugins intended for knowledge workers
...The project is best suited for teams that want reusable AI work instructions without building a full application around them. -
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Hexabot
Hexabot is an open-source AI chatbot / agent builder
Hexabot is an open-source chatbot and conversational AI platform designed to provide a modular and extensible environment for building intelligent assistants. It combines a visual interface with backend flexibility, allowing developers and non-technical users to design conversational flows, integrate APIs, and manage interactions in a structured way. The platform supports both rule-based and AI-driven interactions, enabling hybrid chatbot systems that can handle deterministic workflows alongside generative responses. ... -
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Quint Code
Structured reasoning framework for Claude Code, Gemini, and Cursor
Quint Code is a structured reasoning and decision-support framework aimed at making AI-assisted software engineering and decision workflows more rigorous and auditable. It implements the First Principles Framework (FPF) to guide users and AI tools through hypothesis generation, logical verification, evidence gathering, and documented decision making, reducing reliance on ad hoc or “vibe” coding. Instead of accepting the first plausible answer generated by an AI assistant, Quint Code encourages generating multiple competing hypotheses, verifying them, and validating them against real evidence stored in a structured “knowledge base” within your project. ...
