Search Results for "google services framework"
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Showing 35 open source projects for "google services framework"
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Google Workspace MCP Server
Control Gmail, Google Calendar, Docs, Sheets, Slides, Chat, Forms
Google Workspace MCP is an open-source server that connects AI assistants to Google Workspace services through the Model Context Protocol (MCP), allowing large language models to interact directly with productivity tools. The project exposes a wide set of Google services including Gmail, Google Drive, Docs, Sheets, Slides, Calendar, Chat, and other Workspace components as structured tools that an AI system can call programmatically. ... -
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OmniRoute
OmniRoute is an AI gateway for multi-provider LLM
OmniRoute is a routing and orchestration framework designed to simplify the handling of requests, workflows, or data flows across multiple services or endpoints in a unified manner. It focuses on providing a flexible abstraction layer where developers can define routing logic that dynamically directs traffic based on conditions, context, or predefined rules. The project emphasizes modularity and extensibility, allowing users to plug in different services or handlers without tightly coupling components. ... -
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PaperBanana
Extension of Google Research’s PaperBanana
...Instead of manually designing charts or diagrams using traditional visualization tools, users can describe the desired figure in natural language and allow the system to generate the visual representation automatically. PaperBanana integrates modern multimodal AI models capable of interpreting instructions and producing graphics that follow academic conventions. The framework supports multiple AI providers including OpenAI, Azure OpenAI services, and Google Gemini, allowing users to run the system with different model backends. -
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TuyaOpen
Next-gen AI+IoT framework for T2/T3/T5AI/ESP32/and more
TuyaOpen is an open-source AI-enabled Internet of Things development framework designed to simplify the creation and deployment of smart connected devices. The platform provides a cross-platform C and C++ software development kit that supports a wide range of hardware platforms including Tuya microcontrollers, ESP32 boards, Raspberry Pi devices, and other embedded systems. It offers a unified development environment where developers can build devices capable of communicating with IoT cloud services while integrating AI capabilities and intelligent automation features. ... -
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Swirl
Swirl queries any number of data sources with APIs
...Built on the Python/Django/RabbitMQ stack, SWIRL includes connectors to Apache Solr, ChatGPT, Elastic, OpenSearch | PostgreSQL, Google BigQuery plus generic HTTP/GET/JSON with configurations for premium services. -
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Beelzebub
A secure low code honeypot framework
...By using AI models to simulate realistic system behavior, the honeypot becomes harder for attackers to identify, increasing the likelihood that malicious activity can be observed and analyzed. The framework is designed with a low-code configuration approach so security teams can easily deploy honeypots for multiple services and ports. -
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Agent Development Kit (ADK) for Java
An open-source, code-first Java toolkit
Google’s Agent Development Kit for Java is an open-source toolkit that helps developers design, evaluate, and deploy advanced AI agents using the Java programming language. The framework follows a code-first approach that treats agent development as a structured software engineering task rather than a collection of prompt scripts. It provides abstractions and tools that allow developers to create agents capable of executing complex workflows, calling tools, and interacting with external services. ADK is designed to be flexible and modular so that developers can build simple automation agents or large distributed agent systems depending on their needs. ... -
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STORM
An LLM-powered knowledge curation system that researches topics
STORM is an open-source virtual assistant framework developed by Stanford's OVAL lab. It is designed for creating natural language interfaces and assistants that can interact with APIs, databases, and services in a modular way. -
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LangServe
Helps developers deploy LangChain runnables and chains as a REST API
LangServe is an open-source deployment framework designed to expose LangChain applications as production-ready REST APIs. The tool simplifies the process of turning language-model pipelines, chains, and agents into web services that can be accessed by external applications. Instead of manually writing API endpoints, developers can use LangServe to automatically generate a server that exposes LangChain workflows through HTTP interfaces. -
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RTP-LLM
Alibaba's high-performance LLM inference engine for diverse apps
...The system focuses on improving throughput, latency, and resource utilization when running large models in production environments. It achieves this by implementing optimized GPU kernels, batching strategies, and memory management techniques tailored for transformer inference workloads. The framework is designed for large-scale AI services and is already used internally across several Alibaba platforms such as Taobao, Amap, and other business systems that rely on conversational or search-related AI services. RTP-LLM supports a wide variety of modern model architectures, including Qwen, DeepSeek, and Llama-based models, making it a flexible engine for deploying many different open-source LLMs. -
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II Agent
A new open-source framework to build and deploy intelligent agents
II-Agent is an open-source intelligent assistant framework designed to automate complex workflows across multiple domains using large language models and external tools. The platform allows users to interact with multiple AI models within a single environment while connecting those models to external services and knowledge sources. Through a unified interface, users can switch between models, access specialized tools, and execute tasks that require information retrieval, code execution, or file analysis. ... -
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Lagent
A lightweight framework for building LLM-based agents
Lagent is a lightweight open-source framework designed to help developers build autonomous agents powered by large language models. The framework provides tools and abstractions that allow language models to interact with external tools, execute tasks, and perform multi-step reasoning processes. Instead of using LLMs only for text generation, Lagent enables developers to transform models into agents capable of performing actions such as retrieving data, executing code, or interacting with... -
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Fast MCP
A Ruby Implementation of the Model Context Protocol
Fast MCP is a lightweight framework designed to simplify the development and deployment of servers that implement the Model Context Protocol. The Model Context Protocol enables AI assistants and applications to connect with external tools, services, and data sources through a standardized interface. Fast-mcp provides developers with a streamlined toolkit for building MCP servers that expose application functionality to AI agents. -
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Pluely
The Open Source Alternative to Cluely
Pluely is an open-source AI automation framework designed to simplify the development and deployment of AI-driven workflows across applications and services. The system focuses on orchestrating tasks performed by large language models and other AI components, allowing developers to define structured workflows where models interact with tools, APIs, and external systems. By providing a modular architecture for building AI pipelines, the platform enables developers to connect multiple processing steps such as data retrieval, prompt execution, analysis, and response generation. ... -
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React Native AI
Full stack framework for building cross-platform mobile AI apps
...The framework includes backend components such as an Express-based server proxy that handles authentication and API communication with model providers. Developers can also integrate multiple models and services through a unified interface, making it easier to experiment with different AI capabilities. Built-in theming and UI templates allow developers to quickly create polished interfaces for AI chat and generative features. -
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Dynamiq
An orchestration framework for agentic AI and LLM applications
Dynamiq is an open-source orchestration framework designed to streamline the development of generative AI applications that rely on large language models and autonomous agents. The framework focuses on simplifying the creation of complex AI workflows that involve multiple agents, retrieval systems, and reasoning steps. Instead of building each component manually, developers can use Dynamiq’s structured APIs and modular architecture to connect language models, vector databases, and external... -
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MaxText
A simple, performant and scalable Jax LLM
MaxText is a high-performance, highly scalable open-source framework designed to train and fine-tune large language models using the JAX ecosystem. The project acts as both a reference implementation and a practical training library that demonstrates best practices for building and scaling transformer-based language models on modern accelerator hardware. It is optimized to run efficiently on Google Cloud TPUs and GPUs, enabling researchers and engineers to train models ranging from small experiments to extremely large distributed workloads. ... -
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RubyLLM
One beautiful Ruby API for OpenAI, Anthropic, Gemini, Bedrock
...The library is designed to simplify the process of integrating AI capabilities into Ruby applications by abstracting away differences between model providers and API formats. Developers can use RubyLLM to communicate with a wide range of AI services including OpenAI, Anthropic, Google Gemini, Mistral, Ollama, and other compatible platforms through a single programming interface. The library supports advanced capabilities such as tool calling, structured responses, and schema-based outputs that enable developers to build more reliable AI-driven applications. RubyLLM also integrates smoothly with modern Ruby frameworks and development workflows, making it easier to embed AI functionality into web services, background jobs, and automation scripts. -
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OM1
Modular AI runtime for robots
...The project focuses on creating a modular architecture where language models can coordinate with external tools, APIs, and knowledge sources to accomplish multi-step objectives. Instead of operating as simple conversational systems, OM1 agents can plan actions, retrieve information, and execute tasks across different services. The framework integrates reasoning modules, planning strategies, and tool interfaces that allow agents to operate in dynamic environments. Developers can extend the system by connecting new tools, services, or data sources to the agent architecture. The platform also includes mechanisms for coordinating workflows and managing the state of ongoing tasks. -
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ClaraVerse
Claraverse is a opesource privacy focused ecosystem to replace ChatGPT
...The platform combines chat interfaces, workflow automation, and long-running task management into a single application that can connect to both local and cloud-based AI models. Users can integrate models from multiple providers such as OpenAI, Anthropic, Google, or locally hosted systems like Ollama and LM Studio, enabling flexibility in how AI capabilities are deployed and managed. The system includes a visual workflow builder that allows users to create automation pipelines where AI tools interact with external services, APIs, or datasets. ClaraVerse also includes task-tracking capabilities that allow complex research, coding, or analysis jobs to run in the background while users monitor their progress through a dashboard. -
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Gemma
Gemma open-weight LLM library, from Google DeepMind
Gemma, developed by Google DeepMind, is a family of open-weights large language models (LLMs) built upon the research and technology behind Gemini. This repository provides the official implementation of the Gemma PyPI package, a JAX-based library that enables users to load, interact with, and fine-tune Gemma models. The framework supports both text and multi-modal input, allowing natural language conversations that incorporate visual content such as images. -
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hCaptcha Challenger
Gracefully face hCaptcha challenge with multimodal llms
hCaptcha Challenger is an open-source automation framework designed to solve hCaptcha verification challenges using computer vision models and multimodal reasoning techniques. The project integrates machine learning models capable of analyzing visual captcha tasks and identifying the correct responses required to pass the verification process. Instead of relying on third-party captcha-solving services or browser scripts, the system operates independently by using pretrained neural networks that can classify images, detect objects, and interpret spatial relationships. ... -
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browserable
Open source and self-hostable browser automation library for AI agents
Browserable is an open-source browser automation framework designed specifically for AI agents that need to interact with web interfaces in a human-like way. The project provides tools that allow automated agents to navigate websites, click buttons, fill out forms, and extract information from pages without manual scripting of each step. Built primarily in JavaScript, the framework offers both a developer-friendly SDK and a REST API that allow integration with AI applications and automation pipelines. ... -
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ReCall
Learning to Reason with Search for LLMs via Reinforcement Learning
ReCall is an open-source framework designed to train and evaluate language models that can reason through complex problems by interacting with external tools. The project builds on earlier work focused on teaching models how to search for information during reasoning tasks and extends that idea to a broader system where models can call a variety of external tools such as APIs, databases, or computation engines. Instead of relying purely on static knowledge stored inside the model, ReCall... -
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LangBot
Production-grade platform for building agentic IM bots
LangBot is an open source platform designed to build and deploy AI-powered chatbots across multiple instant messaging ecosystems. The system allows developers to integrate large language models into messaging platforms so that bots can perform tasks, answer questions, and automate workflows directly within everyday communication tools. It supports numerous messaging services including Discord, Slack, Telegram, WeChat, and other enterprise communication systems, making it a flexible solution...
