Projects sharing features with Agents

This project is a Java-based framework integration that provides an AI agent runtime, a graph-based AI workflow engine, and an LLM orchestration framework for Spring applications. It enables the development of stateful autonomous agents and the implementation of retrieval-augmented generation systems using document processing and vector databases. The framework distinguishes itself through a graph-based workflow runtime for designing complex AI pipelines with conditional routing and persistent state. It supports multi-agent orchestration via service-discovery coordination and provides human-i

Llama-stack is a standardized orchestration stack and generative AI API gateway. It provides a unified communication layer and a consistent interface for deploying, managing, and interacting with various large language model providers and deployments. The system functions as an agent framework that manages tool execution and versioned skill bundles to automate complex tasks. It includes a batch processing system for handling large volumes of asynchronous requests through offline processing and a vector database interface for storing and searching documents to enable retrieval augmented genera

This project is a LangChain-based framework for building retrieval-augmented generation systems, autonomous agents, and multimodal chatbots. It functions as an open-source orchestrator that connects local inference engines and online APIs to manage various large language model deployments. The system distinguishes itself by providing specialized interfaces for local knowledge bases, allowing the loading and vectorization of private documents to create context-aware assistants. It also supports multimodal capabilities, enabling the processing of both text and image inputs through vision-capabl

OpenSquilla is an LLM agent orchestration framework designed to coordinate multi-step AI workflows and tool execution using directed acyclic graphs. It functions as a centralized system for managing specialized skill packages and executing complex reasoning sequences. The project distinguishes itself through a routing gateway that directs tasks to different AI providers based on complexity, cost, and performance. It utilizes a multi-tier AI memory system that organizes working, episodic, and semantic knowledge using local embeddings and SQLite, alongside a secure execution sandbox that isolat

Hugging Multi-Agent is an orchestration framework and educational resource designed for building collaborative systems of autonomous AI units. It provides a structured approach to defining individual agent roles, communication patterns, and specialized behaviors to solve complex, multi-step tasks. The project functions as a technical guide and tutorial for implementing multi-agent workflows, specifically focusing on the MetaGPT framework. It enables the design of automated software development processes by delegating tasks to specialized agents that interact through structured communication p

Dokploy is a self-hosted platform-as-a-service designed to simplify the deployment and management of containerized applications and databases. It provides a centralized control plane that decouples administrative management from application workloads, allowing users to oversee infrastructure across multiple server nodes through a unified web interface or a command-line tool. The platform distinguishes itself through an extensive library of pre-configured application templates, enabling the rapid deployment of databases, identity providers, and various productivity or development tools. It sup

Rasa is a chatbot development platform and conversational AI framework used to design, deploy, and integrate multi-turn conversational agents. It functions as an LLM orchestration engine and NLU dialogue manager, combining large language model fluency with structured business logic to control agent behavior. The framework enables the development of conversational assistants that automate text and voice interactions. It allows for the definition of conversational flows using flexible sequences and provides tools to inspect agent decisions to debug and validate the internal reasoning process.

TaskingAI is an AI agent orchestrator and application platform used to build, deploy, and scale AI-native applications. It functions as a multi-tenant backend as a service, providing the infrastructure to host and manage independent AI agent instances across multiple users or organizations on a shared architecture. The platform features a visual workflow builder and project management console, allowing users to configure agent logic and test conversation workflows through a graphical interface before moving them to a production environment. The system orchestrates large language models by st

Kilocode is an autonomous engineering platform designed to orchestrate AI agents for complex software development tasks. It functions as a comprehensive system for automating coding, testing, and repository management by integrating directly with your codebase and terminal. The platform provides a unified gateway for model orchestration, allowing for the management of agentic workflows, event-driven automation, and persistent session state across distributed development environments. The platform distinguishes itself through its federated task management and policy-based access control, which

MOSS is a conversational AI platform, fine-tuning toolkit, and quantized model runtime. It provides a framework for deploying large language models capable of multi-turn dialogue, general-purpose response generation, and following complex instructions. The system functions as a tool-augmented framework that extends model knowledge through external plugins and tool-call loops. This allows the model to execute tasks via search engines and calculators to augment responses with external data. The project covers model training through supervised conversational fine-tuning and optimizes deployment

Evolution API is a collection of system components including a WhatsApp API gateway, a multi-channel messaging bridge, and a conversational AI orchestrator. It functions as an event-driven messaging middleware that links messaging platforms with large language models and external applications to automate text and audio responses. The project provides a self-hosted marketing automation platform for executing customer relationship workflows and outreach campaigns. It further distinguishes itself by routing chat conversations between different messaging services and customer support tools throug

Hexabot is a conversational AI framework and workflow orchestration engine designed to build and deploy intelligent agents. It functions as a runtime environment that connects autonomous agents to multiple messaging channels, enabling consistent user engagement and automated interaction across various platforms. The platform distinguishes itself through a modular agentic runtime that decouples conversational logic from tool execution, allowing for the dynamic injection of capabilities. It utilizes schema-driven orchestration to execute multi-step tasks, relying on strict data contracts to ens

WeClone is an end-to-end framework designed for the creation, training, and deployment of personalized conversational AI digital twins. By fine-tuning large language models on individual chat history, the platform enables the replication of unique communication styles, speech patterns, and conversational habits. The system manages the entire lifecycle of these digital avatars, from initial data preparation to final integration into messaging platforms for real-time interaction. The platform distinguishes itself through a comprehensive suite of data processing utilities that prepare raw messag

ClaraVerse is a self-hosted orchestration platform for deploying and managing local language models, autonomous agents, and automated workflows on private infrastructure. It functions as a containerized backend manager that orchestrates services, databases, and model providers within local containers to maintain data sovereignty. The platform features a visual workflow builder with a drag-and-drop interface for designing complex parallel task sequences. It utilizes a multi-model abstraction layer to normalize interactions across diverse local and remote AI endpoints and includes a retrieval a

ruby_llm is an LLM integration framework and AI agent orchestrator designed to connect applications to multiple large language model providers through a unified interface. It serves as a toolkit for building autonomous assistants with custom personas, managing structured output via JSON schemas, and implementing vector embedding engines for semantic search. The project distinguishes itself as an observability suite and multimodal toolkit. It provides specialized capabilities for tracking token usage, calculating model costs, and tracing workflows via OpenTelemetry, while supporting the proces

openai-java is a Java client library and software development kit designed to integrate OpenAI services into Java applications. It functions as a programmatic wrapper for large language model endpoints, enabling the implementation of generative AI capabilities such as chat completions, text embeddings, and the orchestration of AI agents. The library supports a wide range of multimodal tasks, including the generation and editing of images, as well as audio transcription and translation. It provides specialized tools for model training and fine-tuning, allowing users to upload datasets to impro

This project is a serverless application that integrates OpenAI models with the LINE messaging platform. It functions as a bridge to enable real-time conversations, text generation, image creation, and speech-to-text transcription within the messaging interface. The system is designed for cloud-native deployment on Vercel, utilizing serverless functions and webhooks to handle API traffic. It features environment-driven configuration to manage bot personalities, API secrets, and access controls such as user or group limits. Beyond basic chat, the assistant includes conversational orchestratio

Superagent is an AI safety platform that protects applications from prompt injections, data leaks, and harmful outputs through built-in guardrails. It functions as a prompt injection detection system, data redaction tool, and red team testing tool, automatically removing personally identifiable information and protected health data from AI inputs and outputs while scanning image uploads with vision AI to detect visual prompt injection attacks before processing. The platform routes every prompt through a sequential pipeline of safety checks including injection detection, data redaction, and co

Open-Assistant is a conversational assistant and a system for creating large language model training datasets. It utilizes a client-server architecture that separates the conversational user interface from language model processing through an API. The project features a retrieval-augmented generation system that fetches external data from search engines to provide real-time knowledge. It also includes a standardized plugin interface for connecting language models to third-party systems and external software tools. The system provides a pipeline for collecting and labeling human-annotated pro

PyCaret is a Python AutoML platform and MLOps lifecycle manager designed to automate machine learning workflows. It functions as a low-code environment that leverages a scikit-learn native engine to execute preprocessing, training, and evaluation for tabular data. The platform distinguishes itself as an LLM-powered ML copilot, using large language model agents to analyze datasets, design experiment configurations, and explain model results. It also serves as a Kubernetes ML orchestrator and model registry, enabling the versioning of trained pipelines and their promotion to production API endp

Parlant is an agentic workflow engine and orchestration framework designed for building conversational AI that adheres to strict behavioral guidelines. It provides a platform for managing multi-turn interactions through state-machine-based logic, allowing developers to define complex, hierarchical conversational flows that can adapt, skip, or revisit steps based on real-time user input. The framework distinguishes itself through its focus on behavioral governance and observability. It enables developers to define precise domain terminology and enforce instruction compliance through prioritize

Coze Studio is a development platform for building intelligent agents and conversational applications. It provides a visual environment where users construct agents by linking workflows, knowledge bases, and custom prompts to automate complex tasks. The system functions as a central hub for managing AI model services, allowing developers to connect various providers to serve as the intelligence layer for their applications. The platform distinguishes itself through a node-based workflow orchestrator that enables the design of automated logic sequences on a visual canvas. It includes a modular

Wechaty is a cross-platform chatbot framework designed to build and manage automated messaging agents. It provides a unified programming interface that abstracts diverse instant messaging protocols, allowing developers to create bots that function consistently across multiple communication services. By utilizing a modular architecture, the framework enables the development of conversational agents capable of handling complex messaging workflows, contact management, and group room interactions. The framework distinguishes itself through a puppet-based protocol abstraction and a language-agnost

This project is a cross-platform chatbot framework designed to integrate generative artificial intelligence models into messaging services. It provides a unified architecture for building and deploying automated bots that maintain consistent conversation state, user identity, and interaction logic across multiple messaging platforms from a single codebase. The framework distinguishes itself through a modular adapter system that normalizes platform-specific webhooks and events into a standardized internal schema. It includes a comprehensive toolkit for constructing rich, interactive user inter

This is an OpenAI API Laravel client and LLM integration library designed to connect PHP applications to large language models. It enables the integration of AI capabilities for text generation, image processing, and data automation within a Laravel environment. The package includes an API mocking framework that allows developers to simulate network responses and verify application behavior without making live requests to OpenAI services. The integration is managed through service providers and configuration files, offering a facade-based static proxy and dependency injection for the API cli

Upload is a PHP library designed to manage the processing and persistence of files submitted through web forms. It provides a framework for handling incoming file data, ensuring that assets are validated against security and quality constraints before being moved from temporary locations to permanent storage. The library distinguishes itself through a modular architecture that decouples file handling logic from specific implementation details. It utilizes a strategy-based abstraction layer for storage, allowing for interchangeable backends, and employs a middleware-driven pipeline to process

Nonebot2 is an asynchronous Python framework for building event-driven chatbots across multiple messaging platforms. It centers on a non-blocking event bus and a driver-based adapter system that unifies different messaging protocols into a single consistent interface. The framework utilizes a modular plugin architecture, allowing for the discovery and loading of third-party extensions to add new event handlers and system capabilities. It distinguishes itself with a type-annotation based dependency injection system that automatically resolves and provides required service objects to handlers a