Search Results for "angular-templates" - Page 2
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Showing 144 open source projects for "angular-templates"
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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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Open Agents
An open source template for building cloud agents
...It emphasizes openness and interoperability, making it easier to integrate with different models, APIs, and external systems. The project also includes examples and templates that demonstrate how to build and deploy agents for real-world applications. By prioritizing composability, it allows developers to combine simple components into more complex agent systems. Overall, open-agents serves as a playground for building and experimenting with next-generation AI agent architectures. -
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Obsidian Text Generator Plugin
Text generator is a handy plugin for Obsidian
Text Generator is an open-source AI Assistant Tool that brings the power of Generative Artificial Intelligence to the power of knowledge creation and organization in Obsidian. For example, use Text Generator to generate ideas, attractive titles, summaries, outlines, and whole paragraphs based on your knowledge database. -
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AI-DLC
AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI
...The project promotes an “AI-Driven Life Cycle” methodology where coding assistants, IDE agents, and automation systems participate directly in planning, implementation, testing, and operational workflows. Rather than focusing on a single model or IDE, the framework provides reusable rules, templates, and orchestration patterns compatible with tools such as Amazon Q Developer, Claude Code, Cursor, GitHub Copilot, and Cline. The repository emphasizes reproducible development processes, workflow portability, and AI-guided engineering discipline across different environments. It also explores specification-driven development and layered workflow architectures that standardize how AI systems interact with software projects. -
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GSD 2
A powerful meta-prompting, context engineering
GSD 2 is a project focused on automating and streamlining development workflows through structured build systems and tooling. It aims to simplify the process of configuring, building, and deploying applications by providing predefined templates and automation scripts. The system is designed to reduce manual setup and improve consistency across development environments. It supports modular configurations, allowing users to adapt the build process to different project requirements. The project also emphasizes efficiency, enabling faster iteration and deployment cycles. ... -
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BMad Method
Breakthrough Method for Agile Ai Driven Development
...It adapts dynamically to project complexity, offering lightweight flows for small tasks and more rigorous processes for enterprise-scale systems. The framework also emphasizes repeatability and consistency by storing workflows, templates, and roles as reusable artifacts. Its integration with modern AI coding tools allows it to function as a full development operating system rather than a simple plugin. -
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myGPTReader
AI Slack bot for reading, summarizing, and chatting with content
...It also integrates voice interaction capabilities, allowing users to communicate with the system verbally and even use it as a language practice assistant. In addition to content reading, myGPTReader includes built-in prompt templates that enhance conversations and help users get more structured and relevant responses. It also provides daily summaries of trending news, giving users a convenient way to stay updated without manually browsing multiple sources. -
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BrowserOS
Agentic browser; privacy-first alternative to ChatGPT Atlas
BrowserOS is an open-source, agentic web browser built on a Chromium base that integrates AI agents directly into the browsing experience. Rather than just doing standard browsing, it places AI intelligence at the core: you can connect your own API keys (for e.g., OpenAI, Anthropic, Google Gemini) or run local models (via e.g., Ollama) so that your browsing data and automation stay on your machine — privacy and control are emphasized throughout. The interface remains familiar to users of... -
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DeepSeek V2
Strong, Economical, and Efficient Mixture-of-Experts Language Model
...Because DeepSeek is pushing open-weight competition, this V2 iteration is meant to solidify its position in benchmark rankings and in developer adoption. The code in the repository may include description files, support for tool use or plug-in architectures, and artifacts showing fine-tuning or prompt templates. -
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G0DM0D3
LIBERATED AI CHAT
...It is part of a broader ecosystem of projects that explore the boundaries of AI alignment, control, and prompt engineering. The tool provides a collection of prompt templates and interaction patterns that attempt to override or bypass built-in behavioral constraints in language models. It is primarily used for experimentation, red-teaming, and studying how AI systems respond to unconventional or adversarial inputs. The framework reflects a growing interest in understanding how system prompts influence model outputs and how those constraints can be manipulated. ... -
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Swarms
Enterprise multi-agent orchestration framework for scalable AI apps
...Swarms also includes mechanisms for agent lifecycle management, memory handling, and dynamic composition, making it adaptable to evolving workloads. Additionally, it focuses on developer productivity through APIs, CLI tools, and templates that simplify building and deploying agent-based applications. -
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Better Agents
Standards for building agents, better
Better Agents is a command-line tool and framework designed to standardize the development of AI agents and improve the workflow for building production-ready agent systems. The project provides a structured set of best practices and templates that help developers organize their agent projects in a way that promotes maintainability, scalability, and reliability. Rather than being a full execution framework itself, Better-Agents focuses on enhancing coding assistants and agent development tools by embedding standardized guidelines into the development process. The system generates structured project files, including configuration documents that define the architecture, roles, and capabilities of the agent system. ... -
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SkillKit
Supercharge AI coding agents with portable skills
SkillKit is a developer-centric toolkit for constructing modular, reusable AI agent skills and integrating them into workflows, platforms, and applications with minimal overhead. It provides a set of abstractions, templates, helper utilities, and patterns that help developers define intents, actions, context handling, memory management, and multi-step logic so that skills can be built once and reused everywhere. Instead of reinventing the wheel every time a new conversational or automation feature is needed, SkillKit encourages engineers to encapsulate logic into coherent skill units that can be registered, tested, and composed together. ... -
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llmx.txt hub
The largest directory for AI-ready documentation and tools
...The repository aims to standardize patterns for allowlists, denylists, attribution, rate expectations, and contact information, mirroring the spirit of robots.txt for the AI era. It provides examples and templates to make adoption straightforward for maintainers of websites, docs portals, and repos. The hub encourages community debate and iteration so conventions remain practical as tooling evolves. By consolidating examples and tools, it accelerates consistent, respectful AI consumption of public content. -
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Kodu
Kodu is an autonomous coding agent that lives in your IDE
...Claude Coder supports large-context interactions, enabling the AI to process entire repositories or multi-file structures rather than isolated snippets. It includes conversation history, diff previews, and code-generation templates for repetitive tasks. The project also focuses on openness—developers can extend it with plugins, API configurations, and custom model backends to use Anthropic’s Claude or other compatible LLM APIs. -
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AntV Infographic
Declarative engine for generating AI-powered infographic visuals
...It also includes a built-in editor that allows users to refine and adjust generated infographics interactively after creation. With a large library of predefined templates and themes, AntV Infographic helps users rapidly prototype and produce consistent visual content. -
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Agent Starter Pack
Ship AI Agents to Google Cloud in minutes, not months
Agent Starter Pack is a production-focused framework that provides pre-built templates and infrastructure for rapidly developing and deploying generative AI agents on Google Cloud. It is designed to eliminate the complexity of moving from prototype to production by bundling essential components such as deployment pipelines, monitoring, security, and evaluation tools into a single package. Developers can create fully functional agent projects with a single command, generating both backend and frontend structures along with deployment-ready configurations. ... -
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Prompt Poet
Streamlines and simplifies prompt design for both developers
...By separating prompt structure from program logic, Prompt Poet encourages iterative prompt design and experimentation without requiring constant changes to application code. The framework supports dynamic prompts that adapt to runtime data, allowing developers to inject variables, context, and examples directly into templates. This approach is particularly useful in production environments where prompt consistency, maintainability, and versioning are important. -
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Generative AI Use Cases (GenU)
Application implementation with business use cases
...The project collects a wide range of real-world scenarios that demonstrate how organizations can use large language models and generative AI services within cloud-based architectures. Each example typically includes infrastructure templates, backend services, and application code that show how to integrate generative AI capabilities with other AWS services. These examples cover tasks such as document analysis, conversational assistants, content generation, and knowledge retrieval systems. The repository is intended to serve as both a learning resource and a starting point for developers who want to deploy generative AI solutions using AWS infrastructure. -
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Agent SOP
Natural language workflows for AI agents
...Instead of relying solely on broad language model reasoning, this project enforces explicit step sequences with checkpoints, conditional transitions, and rollback logic, making agent workflows more predictable and auditable. It defines reusable SOP templates that agents can instantiate with context-specific parameters, allowing organizations to codify best practices for customer support, data processing, document workflows, or incident response. The framework supports monitoring and state tracking, so external systems can observe progress, intervene if necessary, and log outcomes for compliance or auditing. ... -
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DocTR
Library for OCR-related tasks powered by Deep Learning
...User-friendly, 3 lines of code to load a document and extract text with a predictor. State-of-the-art performances on public document datasets, comparable with GoogleVision/AWS Textract. Easy integration (available templates for browser demo & API deployment). End-to-End OCR is achieved in docTR using a two-stage approach: text detection (localizing words), then text recognition (identify all characters in the word). As such, you can select the architecture used for text detection, and the one for text recognition from the list of available implementations. -
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geo-seo-claude
GEO-first SEO skill for Claude Code
...Geo SEO Claude can integrate with existing content pipelines, enabling automated generation and deployment of SEO assets. It also supports customization of content templates, allowing users to maintain brand consistency while scaling output. -
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Prompt Engineering Techniques
Collection of tutorials for Prompt Engineering techniques
Prompt Engineering Techniques is a focused companion repository that teaches prompt engineering systematically, from fundamentals to advanced strategies. It contains around twenty-plus hands-on Jupyter notebooks, each dedicated to a specific technique such as basic prompt structures, prompt templates and variables, zero-shot prompting, few-shot prompting, chain-of-thought, self-consistency, constrained generation, role prompting, task decomposition, and more. The tutorials are designed to be practical; you can run them directly, examine the prompts, and see how small changes affect model behavior and quality. The repository is framed as a “techniques library” that complements a more detailed book, which expands on the same topics with deeper explanations and exercises. ... -
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Starter Applets
Google AI Studio Starter Apps
...The applets are structured with a focus on simplicity: each presents a prompt input, minimal UI logic, and inline display of the resulting output or widget (e.g. generated text, images). They are built to illustrate best practices (e.g. safety guards, prompt templates, streaming UI updates) rather than production feature sets. The repo supplies a CLI or script to scaffold new applet templates, letting developers spin up small Gemini-powered components quickly. Each applet includes configuration parameters (API keys, model selection, prompt parameters) in a secure but flexible format. Because applets are meant to be composable, they adopt a modular plugin architecture so you can integrate one into a Next.js, Flutter, or native app with minimal glue. -
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Coze Studio
An AI agent development platform with all-in-one visual tools
Coze Studio is ByteDance’s open‑source, visual AI agent development platform. It offers no-code/low-code workflows to build, debug, and deploy conversational agents, integrating prompting, RAG-based knowledge bases, plugin systems, and workflow orchestration. Developed in Go (backend) and React/TypeScript (frontend), it uses a containerized microservices architecture suitable for enterprise deployment. -
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OpenHome Abilities
Open-source abilities for OpenHome agents
OpenHome Abilities is an open-source repository of modular voice AI plugins created for OpenHome agents, giving developers a lightweight way to extend what an agent can do through spoken triggers. Each ability is intentionally simple in structure, centering on a single main.py file that contains the core Python logic, which lowers the barrier to building and sharing custom behaviors. The system is meant to support a wide range of voice-driven actions, from API calls and media playback to...
